Walmart-the-bag commited on
Commit
2aa1a9a
1 Parent(s): dd3e95a

Upload folder using huggingface_hub (#1)

Browse files

- 0c22ab6f616e7ee18e340999317196512cabab4c68ccf0174c551ab20aab8bf1 (1e0317063e561f9785c997df1e3718d390664153)
- ad3ad9196d9e27b1739a331a9c750799aa4b2eb452a6af1426bdbaffab6d1359 (4c84f379f2a5ba3743121cbfb85c1c1160e6482c)

README.md ADDED
@@ -0,0 +1,57 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: apache-2.0
3
+ widget:
4
+ - example_title: Yi-34B-Chat
5
+ text: hi
6
+ output:
7
+ text: ' Hello! How can I assist you today?'
8
+ - example_title: Yi-34B
9
+ text: There's a place where time stands still. A place of breath taking wonder,
10
+ but also
11
+ output:
12
+ text: ' an eerie sense that something is just not right…
13
+
14
+ Between the two worlds lies The Forgotten Kingdom - home to creatures long since
15
+ thought extinct and ancient magic so strong it defies belief! Only here can
16
+ you find what has been lost for centuries: An Elixir Of Life which will restore
17
+ youth and vitality if only those who seek its power are brave enough to face
18
+ up against all manner of dangers lurking in this mysterious land! But beware;
19
+ some say there may even exist powerful entities beyond our comprehension whose
20
+ intentions towards humanity remain unclear at best ---- they might want nothing
21
+ more than destruction itself rather then anything else from their quest after
22
+ immortality (and maybe someone should tell them about modern medicine)? In any
23
+ event though – one thing remains true regardless : whether or not success comes
24
+ easy depends entirely upon how much effort we put into conquering whatever challenges
25
+ lie ahead along with having faith deep down inside ourselves too ;) So let’s
26
+ get started now shall We?'
27
+ pipeline_tag: text-generation
28
+ tags:
29
+ - mlx
30
+ base_model: 01-ai/Yi-6B-Chat
31
+ ---
32
+
33
+ # mlx-community/Yi-6B-Chat-8bit
34
+
35
+ The Model [mlx-community/Yi-6B-Chat-8bit](https://huggingface.co/mlx-community/Yi-6B-Chat-8bit) was converted to MLX format from [01-ai/Yi-6B-Chat](https://huggingface.co/01-ai/Yi-6B-Chat) using mlx-lm version **0.19.2**.
36
+
37
+ ## Use with mlx
38
+
39
+ ```bash
40
+ pip install mlx-lm
41
+ ```
42
+
43
+ ```python
44
+ from mlx_lm import load, generate
45
+
46
+ model, tokenizer = load("mlx-community/Yi-6B-Chat-8bit")
47
+
48
+ prompt="hello"
49
+
50
+ if hasattr(tokenizer, "apply_chat_template") and tokenizer.chat_template is not None:
51
+ messages = [{"role": "user", "content": prompt}]
52
+ prompt = tokenizer.apply_chat_template(
53
+ messages, tokenize=False, add_generation_prompt=True
54
+ )
55
+
56
+ response = generate(model, tokenizer, prompt=prompt, verbose=True)
57
+ ```
config.json ADDED
@@ -0,0 +1,34 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "architectures": [
3
+ "LlamaForCausalLM"
4
+ ],
5
+ "attention_bias": false,
6
+ "bos_token_id": 1,
7
+ "eos_token_id": 2,
8
+ "hidden_act": "silu",
9
+ "hidden_size": 4096,
10
+ "initializer_range": 0.02,
11
+ "intermediate_size": 11008,
12
+ "max_position_embeddings": 4096,
13
+ "model_type": "llama",
14
+ "num_attention_heads": 32,
15
+ "num_hidden_layers": 32,
16
+ "num_key_value_heads": 4,
17
+ "pretraining_tp": 1,
18
+ "quantization": {
19
+ "group_size": 64,
20
+ "bits": 8
21
+ },
22
+ "quantization_config": {
23
+ "group_size": 64,
24
+ "bits": 8
25
+ },
26
+ "rms_norm_eps": 1e-05,
27
+ "rope_scaling": null,
28
+ "rope_theta": 5000000.0,
29
+ "tie_word_embeddings": false,
30
+ "torch_dtype": "bfloat16",
31
+ "transformers_version": "4.35.0",
32
+ "use_cache": true,
33
+ "vocab_size": 64000
34
+ }
model-00001-of-00002.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6bc39cd396f0ee2a091339aa5a9307764cdc6c2b8ec0343fa15d7401cff0cd41
3
+ size 5330426718
model-00002-of-00002.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3203aaf656cb682bc2d79b28fa22e7eef5dcf8c088b4944d8ccf9958fea239e0
3
+ size 1109757297
model.safetensors.index.json ADDED
@@ -0,0 +1,750 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "metadata": {
3
+ "total_size": 6440099840
4
+ },
5
+ "weight_map": {
6
+ "lm_head.biases": "model-00002-of-00002.safetensors",
7
+ "lm_head.scales": "model-00002-of-00002.safetensors",
8
+ "lm_head.weight": "model-00002-of-00002.safetensors",
9
+ "model.embed_tokens.biases": "model-00001-of-00002.safetensors",
10
+ "model.embed_tokens.scales": "model-00001-of-00002.safetensors",
11
+ "model.embed_tokens.weight": "model-00001-of-00002.safetensors",
12
+ "model.layers.0.input_layernorm.weight": "model-00001-of-00002.safetensors",
13
+ "model.layers.0.mlp.down_proj.biases": "model-00001-of-00002.safetensors",
14
+ "model.layers.0.mlp.down_proj.scales": "model-00001-of-00002.safetensors",
15
+ "model.layers.0.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
16
+ "model.layers.0.mlp.gate_proj.biases": "model-00001-of-00002.safetensors",
17
+ "model.layers.0.mlp.gate_proj.scales": "model-00001-of-00002.safetensors",
18
+ "model.layers.0.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
19
+ "model.layers.0.mlp.up_proj.biases": "model-00001-of-00002.safetensors",
20
+ "model.layers.0.mlp.up_proj.scales": "model-00001-of-00002.safetensors",
21
+ "model.layers.0.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
22
+ "model.layers.0.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
23
+ "model.layers.0.self_attn.k_proj.biases": "model-00001-of-00002.safetensors",
24
+ "model.layers.0.self_attn.k_proj.scales": "model-00001-of-00002.safetensors",
25
+ "model.layers.0.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
26
+ "model.layers.0.self_attn.o_proj.biases": "model-00001-of-00002.safetensors",
27
+ "model.layers.0.self_attn.o_proj.scales": "model-00001-of-00002.safetensors",
28
+ "model.layers.0.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
29
+ "model.layers.0.self_attn.q_proj.biases": "model-00001-of-00002.safetensors",
30
+ "model.layers.0.self_attn.q_proj.scales": "model-00001-of-00002.safetensors",
31
+ "model.layers.0.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
32
+ "model.layers.0.self_attn.v_proj.biases": "model-00001-of-00002.safetensors",
33
+ "model.layers.0.self_attn.v_proj.scales": "model-00001-of-00002.safetensors",
34
+ "model.layers.0.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
35
+ "model.layers.1.input_layernorm.weight": "model-00001-of-00002.safetensors",
36
+ "model.layers.1.mlp.down_proj.biases": "model-00001-of-00002.safetensors",
37
+ "model.layers.1.mlp.down_proj.scales": "model-00001-of-00002.safetensors",
38
+ "model.layers.1.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
39
+ "model.layers.1.mlp.gate_proj.biases": "model-00001-of-00002.safetensors",
40
+ "model.layers.1.mlp.gate_proj.scales": "model-00001-of-00002.safetensors",
41
+ "model.layers.1.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
42
+ "model.layers.1.mlp.up_proj.biases": "model-00001-of-00002.safetensors",
43
+ "model.layers.1.mlp.up_proj.scales": "model-00001-of-00002.safetensors",
44
+ "model.layers.1.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
45
+ "model.layers.1.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
46
+ "model.layers.1.self_attn.k_proj.biases": "model-00001-of-00002.safetensors",
47
+ "model.layers.1.self_attn.k_proj.scales": "model-00001-of-00002.safetensors",
48
+ "model.layers.1.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
49
+ "model.layers.1.self_attn.o_proj.biases": "model-00001-of-00002.safetensors",
50
+ "model.layers.1.self_attn.o_proj.scales": "model-00001-of-00002.safetensors",
51
+ "model.layers.1.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
52
+ "model.layers.1.self_attn.q_proj.biases": "model-00001-of-00002.safetensors",
53
+ "model.layers.1.self_attn.q_proj.scales": "model-00001-of-00002.safetensors",
54
+ "model.layers.1.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
55
+ "model.layers.1.self_attn.v_proj.biases": "model-00001-of-00002.safetensors",
56
+ "model.layers.1.self_attn.v_proj.scales": "model-00001-of-00002.safetensors",
57
+ "model.layers.1.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
58
+ "model.layers.10.input_layernorm.weight": "model-00001-of-00002.safetensors",
59
+ "model.layers.10.mlp.down_proj.biases": "model-00001-of-00002.safetensors",
60
+ "model.layers.10.mlp.down_proj.scales": "model-00001-of-00002.safetensors",
61
+ "model.layers.10.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
62
+ "model.layers.10.mlp.gate_proj.biases": "model-00001-of-00002.safetensors",
63
+ "model.layers.10.mlp.gate_proj.scales": "model-00001-of-00002.safetensors",
64
+ "model.layers.10.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
65
+ "model.layers.10.mlp.up_proj.biases": "model-00001-of-00002.safetensors",
66
+ "model.layers.10.mlp.up_proj.scales": "model-00001-of-00002.safetensors",
67
+ "model.layers.10.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
68
+ "model.layers.10.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
69
+ "model.layers.10.self_attn.k_proj.biases": "model-00001-of-00002.safetensors",
70
+ "model.layers.10.self_attn.k_proj.scales": "model-00001-of-00002.safetensors",
71
+ "model.layers.10.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
72
+ "model.layers.10.self_attn.o_proj.biases": "model-00001-of-00002.safetensors",
73
+ "model.layers.10.self_attn.o_proj.scales": "model-00001-of-00002.safetensors",
74
+ "model.layers.10.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
75
+ "model.layers.10.self_attn.q_proj.biases": "model-00001-of-00002.safetensors",
76
+ "model.layers.10.self_attn.q_proj.scales": "model-00001-of-00002.safetensors",
77
+ "model.layers.10.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
78
+ "model.layers.10.self_attn.v_proj.biases": "model-00001-of-00002.safetensors",
79
+ "model.layers.10.self_attn.v_proj.scales": "model-00001-of-00002.safetensors",
80
+ "model.layers.10.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
81
+ "model.layers.11.input_layernorm.weight": "model-00001-of-00002.safetensors",
82
+ "model.layers.11.mlp.down_proj.biases": "model-00001-of-00002.safetensors",
83
+ "model.layers.11.mlp.down_proj.scales": "model-00001-of-00002.safetensors",
84
+ "model.layers.11.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
85
+ "model.layers.11.mlp.gate_proj.biases": "model-00001-of-00002.safetensors",
86
+ "model.layers.11.mlp.gate_proj.scales": "model-00001-of-00002.safetensors",
87
+ "model.layers.11.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
88
+ "model.layers.11.mlp.up_proj.biases": "model-00001-of-00002.safetensors",
89
+ "model.layers.11.mlp.up_proj.scales": "model-00001-of-00002.safetensors",
90
+ "model.layers.11.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
91
+ "model.layers.11.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
92
+ "model.layers.11.self_attn.k_proj.biases": "model-00001-of-00002.safetensors",
93
+ "model.layers.11.self_attn.k_proj.scales": "model-00001-of-00002.safetensors",
94
+ "model.layers.11.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
95
+ "model.layers.11.self_attn.o_proj.biases": "model-00001-of-00002.safetensors",
96
+ "model.layers.11.self_attn.o_proj.scales": "model-00001-of-00002.safetensors",
97
+ "model.layers.11.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
98
+ "model.layers.11.self_attn.q_proj.biases": "model-00001-of-00002.safetensors",
99
+ "model.layers.11.self_attn.q_proj.scales": "model-00001-of-00002.safetensors",
100
+ "model.layers.11.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
101
+ "model.layers.11.self_attn.v_proj.biases": "model-00001-of-00002.safetensors",
102
+ "model.layers.11.self_attn.v_proj.scales": "model-00001-of-00002.safetensors",
103
+ "model.layers.11.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
104
+ "model.layers.12.input_layernorm.weight": "model-00001-of-00002.safetensors",
105
+ "model.layers.12.mlp.down_proj.biases": "model-00001-of-00002.safetensors",
106
+ "model.layers.12.mlp.down_proj.scales": "model-00001-of-00002.safetensors",
107
+ "model.layers.12.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
108
+ "model.layers.12.mlp.gate_proj.biases": "model-00001-of-00002.safetensors",
109
+ "model.layers.12.mlp.gate_proj.scales": "model-00001-of-00002.safetensors",
110
+ "model.layers.12.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
111
+ "model.layers.12.mlp.up_proj.biases": "model-00001-of-00002.safetensors",
112
+ "model.layers.12.mlp.up_proj.scales": "model-00001-of-00002.safetensors",
113
+ "model.layers.12.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
114
+ "model.layers.12.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
115
+ "model.layers.12.self_attn.k_proj.biases": "model-00001-of-00002.safetensors",
116
+ "model.layers.12.self_attn.k_proj.scales": "model-00001-of-00002.safetensors",
117
+ "model.layers.12.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
118
+ "model.layers.12.self_attn.o_proj.biases": "model-00001-of-00002.safetensors",
119
+ "model.layers.12.self_attn.o_proj.scales": "model-00001-of-00002.safetensors",
120
+ "model.layers.12.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
121
+ "model.layers.12.self_attn.q_proj.biases": "model-00001-of-00002.safetensors",
122
+ "model.layers.12.self_attn.q_proj.scales": "model-00001-of-00002.safetensors",
123
+ "model.layers.12.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
124
+ "model.layers.12.self_attn.v_proj.biases": "model-00001-of-00002.safetensors",
125
+ "model.layers.12.self_attn.v_proj.scales": "model-00001-of-00002.safetensors",
126
+ "model.layers.12.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
127
+ "model.layers.13.input_layernorm.weight": "model-00001-of-00002.safetensors",
128
+ "model.layers.13.mlp.down_proj.biases": "model-00001-of-00002.safetensors",
129
+ "model.layers.13.mlp.down_proj.scales": "model-00001-of-00002.safetensors",
130
+ "model.layers.13.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
131
+ "model.layers.13.mlp.gate_proj.biases": "model-00001-of-00002.safetensors",
132
+ "model.layers.13.mlp.gate_proj.scales": "model-00001-of-00002.safetensors",
133
+ "model.layers.13.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
134
+ "model.layers.13.mlp.up_proj.biases": "model-00001-of-00002.safetensors",
135
+ "model.layers.13.mlp.up_proj.scales": "model-00001-of-00002.safetensors",
136
+ "model.layers.13.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
137
+ "model.layers.13.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
138
+ "model.layers.13.self_attn.k_proj.biases": "model-00001-of-00002.safetensors",
139
+ "model.layers.13.self_attn.k_proj.scales": "model-00001-of-00002.safetensors",
140
+ "model.layers.13.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
141
+ "model.layers.13.self_attn.o_proj.biases": "model-00001-of-00002.safetensors",
142
+ "model.layers.13.self_attn.o_proj.scales": "model-00001-of-00002.safetensors",
143
+ "model.layers.13.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
144
+ "model.layers.13.self_attn.q_proj.biases": "model-00001-of-00002.safetensors",
145
+ "model.layers.13.self_attn.q_proj.scales": "model-00001-of-00002.safetensors",
146
+ "model.layers.13.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
147
+ "model.layers.13.self_attn.v_proj.biases": "model-00001-of-00002.safetensors",
148
+ "model.layers.13.self_attn.v_proj.scales": "model-00001-of-00002.safetensors",
149
+ "model.layers.13.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
150
+ "model.layers.14.input_layernorm.weight": "model-00001-of-00002.safetensors",
151
+ "model.layers.14.mlp.down_proj.biases": "model-00001-of-00002.safetensors",
152
+ "model.layers.14.mlp.down_proj.scales": "model-00001-of-00002.safetensors",
153
+ "model.layers.14.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
154
+ "model.layers.14.mlp.gate_proj.biases": "model-00001-of-00002.safetensors",
155
+ "model.layers.14.mlp.gate_proj.scales": "model-00001-of-00002.safetensors",
156
+ "model.layers.14.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
157
+ "model.layers.14.mlp.up_proj.biases": "model-00001-of-00002.safetensors",
158
+ "model.layers.14.mlp.up_proj.scales": "model-00001-of-00002.safetensors",
159
+ "model.layers.14.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
160
+ "model.layers.14.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
161
+ "model.layers.14.self_attn.k_proj.biases": "model-00001-of-00002.safetensors",
162
+ "model.layers.14.self_attn.k_proj.scales": "model-00001-of-00002.safetensors",
163
+ "model.layers.14.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
164
+ "model.layers.14.self_attn.o_proj.biases": "model-00001-of-00002.safetensors",
165
+ "model.layers.14.self_attn.o_proj.scales": "model-00001-of-00002.safetensors",
166
+ "model.layers.14.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
167
+ "model.layers.14.self_attn.q_proj.biases": "model-00001-of-00002.safetensors",
168
+ "model.layers.14.self_attn.q_proj.scales": "model-00001-of-00002.safetensors",
169
+ "model.layers.14.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
170
+ "model.layers.14.self_attn.v_proj.biases": "model-00001-of-00002.safetensors",
171
+ "model.layers.14.self_attn.v_proj.scales": "model-00001-of-00002.safetensors",
172
+ "model.layers.14.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
173
+ "model.layers.15.input_layernorm.weight": "model-00001-of-00002.safetensors",
174
+ "model.layers.15.mlp.down_proj.biases": "model-00001-of-00002.safetensors",
175
+ "model.layers.15.mlp.down_proj.scales": "model-00001-of-00002.safetensors",
176
+ "model.layers.15.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
177
+ "model.layers.15.mlp.gate_proj.biases": "model-00001-of-00002.safetensors",
178
+ "model.layers.15.mlp.gate_proj.scales": "model-00001-of-00002.safetensors",
179
+ "model.layers.15.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
180
+ "model.layers.15.mlp.up_proj.biases": "model-00001-of-00002.safetensors",
181
+ "model.layers.15.mlp.up_proj.scales": "model-00001-of-00002.safetensors",
182
+ "model.layers.15.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
183
+ "model.layers.15.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
184
+ "model.layers.15.self_attn.k_proj.biases": "model-00001-of-00002.safetensors",
185
+ "model.layers.15.self_attn.k_proj.scales": "model-00001-of-00002.safetensors",
186
+ "model.layers.15.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
187
+ "model.layers.15.self_attn.o_proj.biases": "model-00001-of-00002.safetensors",
188
+ "model.layers.15.self_attn.o_proj.scales": "model-00001-of-00002.safetensors",
189
+ "model.layers.15.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
190
+ "model.layers.15.self_attn.q_proj.biases": "model-00001-of-00002.safetensors",
191
+ "model.layers.15.self_attn.q_proj.scales": "model-00001-of-00002.safetensors",
192
+ "model.layers.15.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
193
+ "model.layers.15.self_attn.v_proj.biases": "model-00001-of-00002.safetensors",
194
+ "model.layers.15.self_attn.v_proj.scales": "model-00001-of-00002.safetensors",
195
+ "model.layers.15.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
196
+ "model.layers.16.input_layernorm.weight": "model-00001-of-00002.safetensors",
197
+ "model.layers.16.mlp.down_proj.biases": "model-00001-of-00002.safetensors",
198
+ "model.layers.16.mlp.down_proj.scales": "model-00001-of-00002.safetensors",
199
+ "model.layers.16.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
200
+ "model.layers.16.mlp.gate_proj.biases": "model-00001-of-00002.safetensors",
201
+ "model.layers.16.mlp.gate_proj.scales": "model-00001-of-00002.safetensors",
202
+ "model.layers.16.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
203
+ "model.layers.16.mlp.up_proj.biases": "model-00001-of-00002.safetensors",
204
+ "model.layers.16.mlp.up_proj.scales": "model-00001-of-00002.safetensors",
205
+ "model.layers.16.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
206
+ "model.layers.16.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
207
+ "model.layers.16.self_attn.k_proj.biases": "model-00001-of-00002.safetensors",
208
+ "model.layers.16.self_attn.k_proj.scales": "model-00001-of-00002.safetensors",
209
+ "model.layers.16.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
210
+ "model.layers.16.self_attn.o_proj.biases": "model-00001-of-00002.safetensors",
211
+ "model.layers.16.self_attn.o_proj.scales": "model-00001-of-00002.safetensors",
212
+ "model.layers.16.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
213
+ "model.layers.16.self_attn.q_proj.biases": "model-00001-of-00002.safetensors",
214
+ "model.layers.16.self_attn.q_proj.scales": "model-00001-of-00002.safetensors",
215
+ "model.layers.16.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
216
+ "model.layers.16.self_attn.v_proj.biases": "model-00001-of-00002.safetensors",
217
+ "model.layers.16.self_attn.v_proj.scales": "model-00001-of-00002.safetensors",
218
+ "model.layers.16.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
219
+ "model.layers.17.input_layernorm.weight": "model-00001-of-00002.safetensors",
220
+ "model.layers.17.mlp.down_proj.biases": "model-00001-of-00002.safetensors",
221
+ "model.layers.17.mlp.down_proj.scales": "model-00001-of-00002.safetensors",
222
+ "model.layers.17.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
223
+ "model.layers.17.mlp.gate_proj.biases": "model-00001-of-00002.safetensors",
224
+ "model.layers.17.mlp.gate_proj.scales": "model-00001-of-00002.safetensors",
225
+ "model.layers.17.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
226
+ "model.layers.17.mlp.up_proj.biases": "model-00001-of-00002.safetensors",
227
+ "model.layers.17.mlp.up_proj.scales": "model-00001-of-00002.safetensors",
228
+ "model.layers.17.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
229
+ "model.layers.17.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
230
+ "model.layers.17.self_attn.k_proj.biases": "model-00001-of-00002.safetensors",
231
+ "model.layers.17.self_attn.k_proj.scales": "model-00001-of-00002.safetensors",
232
+ "model.layers.17.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
233
+ "model.layers.17.self_attn.o_proj.biases": "model-00001-of-00002.safetensors",
234
+ "model.layers.17.self_attn.o_proj.scales": "model-00001-of-00002.safetensors",
235
+ "model.layers.17.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
236
+ "model.layers.17.self_attn.q_proj.biases": "model-00001-of-00002.safetensors",
237
+ "model.layers.17.self_attn.q_proj.scales": "model-00001-of-00002.safetensors",
238
+ "model.layers.17.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
239
+ "model.layers.17.self_attn.v_proj.biases": "model-00001-of-00002.safetensors",
240
+ "model.layers.17.self_attn.v_proj.scales": "model-00001-of-00002.safetensors",
241
+ "model.layers.17.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
242
+ "model.layers.18.input_layernorm.weight": "model-00001-of-00002.safetensors",
243
+ "model.layers.18.mlp.down_proj.biases": "model-00001-of-00002.safetensors",
244
+ "model.layers.18.mlp.down_proj.scales": "model-00001-of-00002.safetensors",
245
+ "model.layers.18.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
246
+ "model.layers.18.mlp.gate_proj.biases": "model-00001-of-00002.safetensors",
247
+ "model.layers.18.mlp.gate_proj.scales": "model-00001-of-00002.safetensors",
248
+ "model.layers.18.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
249
+ "model.layers.18.mlp.up_proj.biases": "model-00001-of-00002.safetensors",
250
+ "model.layers.18.mlp.up_proj.scales": "model-00001-of-00002.safetensors",
251
+ "model.layers.18.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
252
+ "model.layers.18.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
253
+ "model.layers.18.self_attn.k_proj.biases": "model-00001-of-00002.safetensors",
254
+ "model.layers.18.self_attn.k_proj.scales": "model-00001-of-00002.safetensors",
255
+ "model.layers.18.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
256
+ "model.layers.18.self_attn.o_proj.biases": "model-00001-of-00002.safetensors",
257
+ "model.layers.18.self_attn.o_proj.scales": "model-00001-of-00002.safetensors",
258
+ "model.layers.18.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
259
+ "model.layers.18.self_attn.q_proj.biases": "model-00001-of-00002.safetensors",
260
+ "model.layers.18.self_attn.q_proj.scales": "model-00001-of-00002.safetensors",
261
+ "model.layers.18.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
262
+ "model.layers.18.self_attn.v_proj.biases": "model-00001-of-00002.safetensors",
263
+ "model.layers.18.self_attn.v_proj.scales": "model-00001-of-00002.safetensors",
264
+ "model.layers.18.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
265
+ "model.layers.19.input_layernorm.weight": "model-00001-of-00002.safetensors",
266
+ "model.layers.19.mlp.down_proj.biases": "model-00001-of-00002.safetensors",
267
+ "model.layers.19.mlp.down_proj.scales": "model-00001-of-00002.safetensors",
268
+ "model.layers.19.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
269
+ "model.layers.19.mlp.gate_proj.biases": "model-00001-of-00002.safetensors",
270
+ "model.layers.19.mlp.gate_proj.scales": "model-00001-of-00002.safetensors",
271
+ "model.layers.19.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
272
+ "model.layers.19.mlp.up_proj.biases": "model-00001-of-00002.safetensors",
273
+ "model.layers.19.mlp.up_proj.scales": "model-00001-of-00002.safetensors",
274
+ "model.layers.19.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
275
+ "model.layers.19.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
276
+ "model.layers.19.self_attn.k_proj.biases": "model-00001-of-00002.safetensors",
277
+ "model.layers.19.self_attn.k_proj.scales": "model-00001-of-00002.safetensors",
278
+ "model.layers.19.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
279
+ "model.layers.19.self_attn.o_proj.biases": "model-00001-of-00002.safetensors",
280
+ "model.layers.19.self_attn.o_proj.scales": "model-00001-of-00002.safetensors",
281
+ "model.layers.19.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
282
+ "model.layers.19.self_attn.q_proj.biases": "model-00001-of-00002.safetensors",
283
+ "model.layers.19.self_attn.q_proj.scales": "model-00001-of-00002.safetensors",
284
+ "model.layers.19.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
285
+ "model.layers.19.self_attn.v_proj.biases": "model-00001-of-00002.safetensors",
286
+ "model.layers.19.self_attn.v_proj.scales": "model-00001-of-00002.safetensors",
287
+ "model.layers.19.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
288
+ "model.layers.2.input_layernorm.weight": "model-00001-of-00002.safetensors",
289
+ "model.layers.2.mlp.down_proj.biases": "model-00001-of-00002.safetensors",
290
+ "model.layers.2.mlp.down_proj.scales": "model-00001-of-00002.safetensors",
291
+ "model.layers.2.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
292
+ "model.layers.2.mlp.gate_proj.biases": "model-00001-of-00002.safetensors",
293
+ "model.layers.2.mlp.gate_proj.scales": "model-00001-of-00002.safetensors",
294
+ "model.layers.2.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
295
+ "model.layers.2.mlp.up_proj.biases": "model-00001-of-00002.safetensors",
296
+ "model.layers.2.mlp.up_proj.scales": "model-00001-of-00002.safetensors",
297
+ "model.layers.2.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
298
+ "model.layers.2.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
299
+ "model.layers.2.self_attn.k_proj.biases": "model-00001-of-00002.safetensors",
300
+ "model.layers.2.self_attn.k_proj.scales": "model-00001-of-00002.safetensors",
301
+ "model.layers.2.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
302
+ "model.layers.2.self_attn.o_proj.biases": "model-00001-of-00002.safetensors",
303
+ "model.layers.2.self_attn.o_proj.scales": "model-00001-of-00002.safetensors",
304
+ "model.layers.2.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
305
+ "model.layers.2.self_attn.q_proj.biases": "model-00001-of-00002.safetensors",
306
+ "model.layers.2.self_attn.q_proj.scales": "model-00001-of-00002.safetensors",
307
+ "model.layers.2.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
308
+ "model.layers.2.self_attn.v_proj.biases": "model-00001-of-00002.safetensors",
309
+ "model.layers.2.self_attn.v_proj.scales": "model-00001-of-00002.safetensors",
310
+ "model.layers.2.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
311
+ "model.layers.20.input_layernorm.weight": "model-00001-of-00002.safetensors",
312
+ "model.layers.20.mlp.down_proj.biases": "model-00001-of-00002.safetensors",
313
+ "model.layers.20.mlp.down_proj.scales": "model-00001-of-00002.safetensors",
314
+ "model.layers.20.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
315
+ "model.layers.20.mlp.gate_proj.biases": "model-00001-of-00002.safetensors",
316
+ "model.layers.20.mlp.gate_proj.scales": "model-00001-of-00002.safetensors",
317
+ "model.layers.20.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
318
+ "model.layers.20.mlp.up_proj.biases": "model-00001-of-00002.safetensors",
319
+ "model.layers.20.mlp.up_proj.scales": "model-00001-of-00002.safetensors",
320
+ "model.layers.20.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
321
+ "model.layers.20.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
322
+ "model.layers.20.self_attn.k_proj.biases": "model-00001-of-00002.safetensors",
323
+ "model.layers.20.self_attn.k_proj.scales": "model-00001-of-00002.safetensors",
324
+ "model.layers.20.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
325
+ "model.layers.20.self_attn.o_proj.biases": "model-00001-of-00002.safetensors",
326
+ "model.layers.20.self_attn.o_proj.scales": "model-00001-of-00002.safetensors",
327
+ "model.layers.20.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
328
+ "model.layers.20.self_attn.q_proj.biases": "model-00001-of-00002.safetensors",
329
+ "model.layers.20.self_attn.q_proj.scales": "model-00001-of-00002.safetensors",
330
+ "model.layers.20.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
331
+ "model.layers.20.self_attn.v_proj.biases": "model-00001-of-00002.safetensors",
332
+ "model.layers.20.self_attn.v_proj.scales": "model-00001-of-00002.safetensors",
333
+ "model.layers.20.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
334
+ "model.layers.21.input_layernorm.weight": "model-00001-of-00002.safetensors",
335
+ "model.layers.21.mlp.down_proj.biases": "model-00001-of-00002.safetensors",
336
+ "model.layers.21.mlp.down_proj.scales": "model-00001-of-00002.safetensors",
337
+ "model.layers.21.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
338
+ "model.layers.21.mlp.gate_proj.biases": "model-00001-of-00002.safetensors",
339
+ "model.layers.21.mlp.gate_proj.scales": "model-00001-of-00002.safetensors",
340
+ "model.layers.21.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
341
+ "model.layers.21.mlp.up_proj.biases": "model-00001-of-00002.safetensors",
342
+ "model.layers.21.mlp.up_proj.scales": "model-00001-of-00002.safetensors",
343
+ "model.layers.21.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
344
+ "model.layers.21.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
345
+ "model.layers.21.self_attn.k_proj.biases": "model-00001-of-00002.safetensors",
346
+ "model.layers.21.self_attn.k_proj.scales": "model-00001-of-00002.safetensors",
347
+ "model.layers.21.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
348
+ "model.layers.21.self_attn.o_proj.biases": "model-00001-of-00002.safetensors",
349
+ "model.layers.21.self_attn.o_proj.scales": "model-00001-of-00002.safetensors",
350
+ "model.layers.21.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
351
+ "model.layers.21.self_attn.q_proj.biases": "model-00001-of-00002.safetensors",
352
+ "model.layers.21.self_attn.q_proj.scales": "model-00001-of-00002.safetensors",
353
+ "model.layers.21.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
354
+ "model.layers.21.self_attn.v_proj.biases": "model-00001-of-00002.safetensors",
355
+ "model.layers.21.self_attn.v_proj.scales": "model-00001-of-00002.safetensors",
356
+ "model.layers.21.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
357
+ "model.layers.22.input_layernorm.weight": "model-00001-of-00002.safetensors",
358
+ "model.layers.22.mlp.down_proj.biases": "model-00001-of-00002.safetensors",
359
+ "model.layers.22.mlp.down_proj.scales": "model-00001-of-00002.safetensors",
360
+ "model.layers.22.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
361
+ "model.layers.22.mlp.gate_proj.biases": "model-00001-of-00002.safetensors",
362
+ "model.layers.22.mlp.gate_proj.scales": "model-00001-of-00002.safetensors",
363
+ "model.layers.22.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
364
+ "model.layers.22.mlp.up_proj.biases": "model-00001-of-00002.safetensors",
365
+ "model.layers.22.mlp.up_proj.scales": "model-00001-of-00002.safetensors",
366
+ "model.layers.22.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
367
+ "model.layers.22.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
368
+ "model.layers.22.self_attn.k_proj.biases": "model-00001-of-00002.safetensors",
369
+ "model.layers.22.self_attn.k_proj.scales": "model-00001-of-00002.safetensors",
370
+ "model.layers.22.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
371
+ "model.layers.22.self_attn.o_proj.biases": "model-00001-of-00002.safetensors",
372
+ "model.layers.22.self_attn.o_proj.scales": "model-00001-of-00002.safetensors",
373
+ "model.layers.22.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
374
+ "model.layers.22.self_attn.q_proj.biases": "model-00001-of-00002.safetensors",
375
+ "model.layers.22.self_attn.q_proj.scales": "model-00001-of-00002.safetensors",
376
+ "model.layers.22.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
377
+ "model.layers.22.self_attn.v_proj.biases": "model-00001-of-00002.safetensors",
378
+ "model.layers.22.self_attn.v_proj.scales": "model-00001-of-00002.safetensors",
379
+ "model.layers.22.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
380
+ "model.layers.23.input_layernorm.weight": "model-00001-of-00002.safetensors",
381
+ "model.layers.23.mlp.down_proj.biases": "model-00001-of-00002.safetensors",
382
+ "model.layers.23.mlp.down_proj.scales": "model-00001-of-00002.safetensors",
383
+ "model.layers.23.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
384
+ "model.layers.23.mlp.gate_proj.biases": "model-00001-of-00002.safetensors",
385
+ "model.layers.23.mlp.gate_proj.scales": "model-00001-of-00002.safetensors",
386
+ "model.layers.23.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
387
+ "model.layers.23.mlp.up_proj.biases": "model-00001-of-00002.safetensors",
388
+ "model.layers.23.mlp.up_proj.scales": "model-00001-of-00002.safetensors",
389
+ "model.layers.23.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
390
+ "model.layers.23.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
391
+ "model.layers.23.self_attn.k_proj.biases": "model-00001-of-00002.safetensors",
392
+ "model.layers.23.self_attn.k_proj.scales": "model-00001-of-00002.safetensors",
393
+ "model.layers.23.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
394
+ "model.layers.23.self_attn.o_proj.biases": "model-00001-of-00002.safetensors",
395
+ "model.layers.23.self_attn.o_proj.scales": "model-00001-of-00002.safetensors",
396
+ "model.layers.23.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
397
+ "model.layers.23.self_attn.q_proj.biases": "model-00001-of-00002.safetensors",
398
+ "model.layers.23.self_attn.q_proj.scales": "model-00001-of-00002.safetensors",
399
+ "model.layers.23.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
400
+ "model.layers.23.self_attn.v_proj.biases": "model-00001-of-00002.safetensors",
401
+ "model.layers.23.self_attn.v_proj.scales": "model-00001-of-00002.safetensors",
402
+ "model.layers.23.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
403
+ "model.layers.24.input_layernorm.weight": "model-00001-of-00002.safetensors",
404
+ "model.layers.24.mlp.down_proj.biases": "model-00001-of-00002.safetensors",
405
+ "model.layers.24.mlp.down_proj.scales": "model-00001-of-00002.safetensors",
406
+ "model.layers.24.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
407
+ "model.layers.24.mlp.gate_proj.biases": "model-00001-of-00002.safetensors",
408
+ "model.layers.24.mlp.gate_proj.scales": "model-00001-of-00002.safetensors",
409
+ "model.layers.24.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
410
+ "model.layers.24.mlp.up_proj.biases": "model-00001-of-00002.safetensors",
411
+ "model.layers.24.mlp.up_proj.scales": "model-00001-of-00002.safetensors",
412
+ "model.layers.24.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
413
+ "model.layers.24.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
414
+ "model.layers.24.self_attn.k_proj.biases": "model-00001-of-00002.safetensors",
415
+ "model.layers.24.self_attn.k_proj.scales": "model-00001-of-00002.safetensors",
416
+ "model.layers.24.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
417
+ "model.layers.24.self_attn.o_proj.biases": "model-00001-of-00002.safetensors",
418
+ "model.layers.24.self_attn.o_proj.scales": "model-00001-of-00002.safetensors",
419
+ "model.layers.24.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
420
+ "model.layers.24.self_attn.q_proj.biases": "model-00001-of-00002.safetensors",
421
+ "model.layers.24.self_attn.q_proj.scales": "model-00001-of-00002.safetensors",
422
+ "model.layers.24.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
423
+ "model.layers.24.self_attn.v_proj.biases": "model-00001-of-00002.safetensors",
424
+ "model.layers.24.self_attn.v_proj.scales": "model-00001-of-00002.safetensors",
425
+ "model.layers.24.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
426
+ "model.layers.25.input_layernorm.weight": "model-00001-of-00002.safetensors",
427
+ "model.layers.25.mlp.down_proj.biases": "model-00001-of-00002.safetensors",
428
+ "model.layers.25.mlp.down_proj.scales": "model-00001-of-00002.safetensors",
429
+ "model.layers.25.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
430
+ "model.layers.25.mlp.gate_proj.biases": "model-00001-of-00002.safetensors",
431
+ "model.layers.25.mlp.gate_proj.scales": "model-00001-of-00002.safetensors",
432
+ "model.layers.25.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
433
+ "model.layers.25.mlp.up_proj.biases": "model-00001-of-00002.safetensors",
434
+ "model.layers.25.mlp.up_proj.scales": "model-00001-of-00002.safetensors",
435
+ "model.layers.25.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
436
+ "model.layers.25.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
437
+ "model.layers.25.self_attn.k_proj.biases": "model-00001-of-00002.safetensors",
438
+ "model.layers.25.self_attn.k_proj.scales": "model-00001-of-00002.safetensors",
439
+ "model.layers.25.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
440
+ "model.layers.25.self_attn.o_proj.biases": "model-00001-of-00002.safetensors",
441
+ "model.layers.25.self_attn.o_proj.scales": "model-00001-of-00002.safetensors",
442
+ "model.layers.25.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
443
+ "model.layers.25.self_attn.q_proj.biases": "model-00001-of-00002.safetensors",
444
+ "model.layers.25.self_attn.q_proj.scales": "model-00001-of-00002.safetensors",
445
+ "model.layers.25.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
446
+ "model.layers.25.self_attn.v_proj.biases": "model-00001-of-00002.safetensors",
447
+ "model.layers.25.self_attn.v_proj.scales": "model-00001-of-00002.safetensors",
448
+ "model.layers.25.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
449
+ "model.layers.26.input_layernorm.weight": "model-00001-of-00002.safetensors",
450
+ "model.layers.26.mlp.down_proj.biases": "model-00001-of-00002.safetensors",
451
+ "model.layers.26.mlp.down_proj.scales": "model-00001-of-00002.safetensors",
452
+ "model.layers.26.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
453
+ "model.layers.26.mlp.gate_proj.biases": "model-00001-of-00002.safetensors",
454
+ "model.layers.26.mlp.gate_proj.scales": "model-00001-of-00002.safetensors",
455
+ "model.layers.26.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
456
+ "model.layers.26.mlp.up_proj.biases": "model-00001-of-00002.safetensors",
457
+ "model.layers.26.mlp.up_proj.scales": "model-00001-of-00002.safetensors",
458
+ "model.layers.26.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
459
+ "model.layers.26.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
460
+ "model.layers.26.self_attn.k_proj.biases": "model-00001-of-00002.safetensors",
461
+ "model.layers.26.self_attn.k_proj.scales": "model-00001-of-00002.safetensors",
462
+ "model.layers.26.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
463
+ "model.layers.26.self_attn.o_proj.biases": "model-00001-of-00002.safetensors",
464
+ "model.layers.26.self_attn.o_proj.scales": "model-00001-of-00002.safetensors",
465
+ "model.layers.26.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
466
+ "model.layers.26.self_attn.q_proj.biases": "model-00001-of-00002.safetensors",
467
+ "model.layers.26.self_attn.q_proj.scales": "model-00001-of-00002.safetensors",
468
+ "model.layers.26.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
469
+ "model.layers.26.self_attn.v_proj.biases": "model-00001-of-00002.safetensors",
470
+ "model.layers.26.self_attn.v_proj.scales": "model-00001-of-00002.safetensors",
471
+ "model.layers.26.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
472
+ "model.layers.27.input_layernorm.weight": "model-00002-of-00002.safetensors",
473
+ "model.layers.27.mlp.down_proj.biases": "model-00002-of-00002.safetensors",
474
+ "model.layers.27.mlp.down_proj.scales": "model-00002-of-00002.safetensors",
475
+ "model.layers.27.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
476
+ "model.layers.27.mlp.gate_proj.biases": "model-00001-of-00002.safetensors",
477
+ "model.layers.27.mlp.gate_proj.scales": "model-00001-of-00002.safetensors",
478
+ "model.layers.27.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
479
+ "model.layers.27.mlp.up_proj.biases": "model-00002-of-00002.safetensors",
480
+ "model.layers.27.mlp.up_proj.scales": "model-00002-of-00002.safetensors",
481
+ "model.layers.27.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
482
+ "model.layers.27.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
483
+ "model.layers.27.self_attn.k_proj.biases": "model-00001-of-00002.safetensors",
484
+ "model.layers.27.self_attn.k_proj.scales": "model-00001-of-00002.safetensors",
485
+ "model.layers.27.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
486
+ "model.layers.27.self_attn.o_proj.biases": "model-00001-of-00002.safetensors",
487
+ "model.layers.27.self_attn.o_proj.scales": "model-00001-of-00002.safetensors",
488
+ "model.layers.27.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
489
+ "model.layers.27.self_attn.q_proj.biases": "model-00001-of-00002.safetensors",
490
+ "model.layers.27.self_attn.q_proj.scales": "model-00001-of-00002.safetensors",
491
+ "model.layers.27.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
492
+ "model.layers.27.self_attn.v_proj.biases": "model-00001-of-00002.safetensors",
493
+ "model.layers.27.self_attn.v_proj.scales": "model-00001-of-00002.safetensors",
494
+ "model.layers.27.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
495
+ "model.layers.28.input_layernorm.weight": "model-00002-of-00002.safetensors",
496
+ "model.layers.28.mlp.down_proj.biases": "model-00002-of-00002.safetensors",
497
+ "model.layers.28.mlp.down_proj.scales": "model-00002-of-00002.safetensors",
498
+ "model.layers.28.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
499
+ "model.layers.28.mlp.gate_proj.biases": "model-00002-of-00002.safetensors",
500
+ "model.layers.28.mlp.gate_proj.scales": "model-00002-of-00002.safetensors",
501
+ "model.layers.28.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
502
+ "model.layers.28.mlp.up_proj.biases": "model-00002-of-00002.safetensors",
503
+ "model.layers.28.mlp.up_proj.scales": "model-00002-of-00002.safetensors",
504
+ "model.layers.28.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
505
+ "model.layers.28.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
506
+ "model.layers.28.self_attn.k_proj.biases": "model-00002-of-00002.safetensors",
507
+ "model.layers.28.self_attn.k_proj.scales": "model-00002-of-00002.safetensors",
508
+ "model.layers.28.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
509
+ "model.layers.28.self_attn.o_proj.biases": "model-00002-of-00002.safetensors",
510
+ "model.layers.28.self_attn.o_proj.scales": "model-00002-of-00002.safetensors",
511
+ "model.layers.28.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
512
+ "model.layers.28.self_attn.q_proj.biases": "model-00002-of-00002.safetensors",
513
+ "model.layers.28.self_attn.q_proj.scales": "model-00002-of-00002.safetensors",
514
+ "model.layers.28.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
515
+ "model.layers.28.self_attn.v_proj.biases": "model-00002-of-00002.safetensors",
516
+ "model.layers.28.self_attn.v_proj.scales": "model-00002-of-00002.safetensors",
517
+ "model.layers.28.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
518
+ "model.layers.29.input_layernorm.weight": "model-00002-of-00002.safetensors",
519
+ "model.layers.29.mlp.down_proj.biases": "model-00002-of-00002.safetensors",
520
+ "model.layers.29.mlp.down_proj.scales": "model-00002-of-00002.safetensors",
521
+ "model.layers.29.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
522
+ "model.layers.29.mlp.gate_proj.biases": "model-00002-of-00002.safetensors",
523
+ "model.layers.29.mlp.gate_proj.scales": "model-00002-of-00002.safetensors",
524
+ "model.layers.29.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
525
+ "model.layers.29.mlp.up_proj.biases": "model-00002-of-00002.safetensors",
526
+ "model.layers.29.mlp.up_proj.scales": "model-00002-of-00002.safetensors",
527
+ "model.layers.29.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
528
+ "model.layers.29.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
529
+ "model.layers.29.self_attn.k_proj.biases": "model-00002-of-00002.safetensors",
530
+ "model.layers.29.self_attn.k_proj.scales": "model-00002-of-00002.safetensors",
531
+ "model.layers.29.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
532
+ "model.layers.29.self_attn.o_proj.biases": "model-00002-of-00002.safetensors",
533
+ "model.layers.29.self_attn.o_proj.scales": "model-00002-of-00002.safetensors",
534
+ "model.layers.29.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
535
+ "model.layers.29.self_attn.q_proj.biases": "model-00002-of-00002.safetensors",
536
+ "model.layers.29.self_attn.q_proj.scales": "model-00002-of-00002.safetensors",
537
+ "model.layers.29.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
538
+ "model.layers.29.self_attn.v_proj.biases": "model-00002-of-00002.safetensors",
539
+ "model.layers.29.self_attn.v_proj.scales": "model-00002-of-00002.safetensors",
540
+ "model.layers.29.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
541
+ "model.layers.3.input_layernorm.weight": "model-00001-of-00002.safetensors",
542
+ "model.layers.3.mlp.down_proj.biases": "model-00001-of-00002.safetensors",
543
+ "model.layers.3.mlp.down_proj.scales": "model-00001-of-00002.safetensors",
544
+ "model.layers.3.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
545
+ "model.layers.3.mlp.gate_proj.biases": "model-00001-of-00002.safetensors",
546
+ "model.layers.3.mlp.gate_proj.scales": "model-00001-of-00002.safetensors",
547
+ "model.layers.3.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
548
+ "model.layers.3.mlp.up_proj.biases": "model-00001-of-00002.safetensors",
549
+ "model.layers.3.mlp.up_proj.scales": "model-00001-of-00002.safetensors",
550
+ "model.layers.3.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
551
+ "model.layers.3.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
552
+ "model.layers.3.self_attn.k_proj.biases": "model-00001-of-00002.safetensors",
553
+ "model.layers.3.self_attn.k_proj.scales": "model-00001-of-00002.safetensors",
554
+ "model.layers.3.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
555
+ "model.layers.3.self_attn.o_proj.biases": "model-00001-of-00002.safetensors",
556
+ "model.layers.3.self_attn.o_proj.scales": "model-00001-of-00002.safetensors",
557
+ "model.layers.3.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
558
+ "model.layers.3.self_attn.q_proj.biases": "model-00001-of-00002.safetensors",
559
+ "model.layers.3.self_attn.q_proj.scales": "model-00001-of-00002.safetensors",
560
+ "model.layers.3.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
561
+ "model.layers.3.self_attn.v_proj.biases": "model-00001-of-00002.safetensors",
562
+ "model.layers.3.self_attn.v_proj.scales": "model-00001-of-00002.safetensors",
563
+ "model.layers.3.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
564
+ "model.layers.30.input_layernorm.weight": "model-00002-of-00002.safetensors",
565
+ "model.layers.30.mlp.down_proj.biases": "model-00002-of-00002.safetensors",
566
+ "model.layers.30.mlp.down_proj.scales": "model-00002-of-00002.safetensors",
567
+ "model.layers.30.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
568
+ "model.layers.30.mlp.gate_proj.biases": "model-00002-of-00002.safetensors",
569
+ "model.layers.30.mlp.gate_proj.scales": "model-00002-of-00002.safetensors",
570
+ "model.layers.30.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
571
+ "model.layers.30.mlp.up_proj.biases": "model-00002-of-00002.safetensors",
572
+ "model.layers.30.mlp.up_proj.scales": "model-00002-of-00002.safetensors",
573
+ "model.layers.30.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
574
+ "model.layers.30.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
575
+ "model.layers.30.self_attn.k_proj.biases": "model-00002-of-00002.safetensors",
576
+ "model.layers.30.self_attn.k_proj.scales": "model-00002-of-00002.safetensors",
577
+ "model.layers.30.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
578
+ "model.layers.30.self_attn.o_proj.biases": "model-00002-of-00002.safetensors",
579
+ "model.layers.30.self_attn.o_proj.scales": "model-00002-of-00002.safetensors",
580
+ "model.layers.30.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
581
+ "model.layers.30.self_attn.q_proj.biases": "model-00002-of-00002.safetensors",
582
+ "model.layers.30.self_attn.q_proj.scales": "model-00002-of-00002.safetensors",
583
+ "model.layers.30.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
584
+ "model.layers.30.self_attn.v_proj.biases": "model-00002-of-00002.safetensors",
585
+ "model.layers.30.self_attn.v_proj.scales": "model-00002-of-00002.safetensors",
586
+ "model.layers.30.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
587
+ "model.layers.31.input_layernorm.weight": "model-00002-of-00002.safetensors",
588
+ "model.layers.31.mlp.down_proj.biases": "model-00002-of-00002.safetensors",
589
+ "model.layers.31.mlp.down_proj.scales": "model-00002-of-00002.safetensors",
590
+ "model.layers.31.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
591
+ "model.layers.31.mlp.gate_proj.biases": "model-00002-of-00002.safetensors",
592
+ "model.layers.31.mlp.gate_proj.scales": "model-00002-of-00002.safetensors",
593
+ "model.layers.31.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
594
+ "model.layers.31.mlp.up_proj.biases": "model-00002-of-00002.safetensors",
595
+ "model.layers.31.mlp.up_proj.scales": "model-00002-of-00002.safetensors",
596
+ "model.layers.31.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
597
+ "model.layers.31.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
598
+ "model.layers.31.self_attn.k_proj.biases": "model-00002-of-00002.safetensors",
599
+ "model.layers.31.self_attn.k_proj.scales": "model-00002-of-00002.safetensors",
600
+ "model.layers.31.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
601
+ "model.layers.31.self_attn.o_proj.biases": "model-00002-of-00002.safetensors",
602
+ "model.layers.31.self_attn.o_proj.scales": "model-00002-of-00002.safetensors",
603
+ "model.layers.31.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
604
+ "model.layers.31.self_attn.q_proj.biases": "model-00002-of-00002.safetensors",
605
+ "model.layers.31.self_attn.q_proj.scales": "model-00002-of-00002.safetensors",
606
+ "model.layers.31.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
607
+ "model.layers.31.self_attn.v_proj.biases": "model-00002-of-00002.safetensors",
608
+ "model.layers.31.self_attn.v_proj.scales": "model-00002-of-00002.safetensors",
609
+ "model.layers.31.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
610
+ "model.layers.4.input_layernorm.weight": "model-00001-of-00002.safetensors",
611
+ "model.layers.4.mlp.down_proj.biases": "model-00001-of-00002.safetensors",
612
+ "model.layers.4.mlp.down_proj.scales": "model-00001-of-00002.safetensors",
613
+ "model.layers.4.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
614
+ "model.layers.4.mlp.gate_proj.biases": "model-00001-of-00002.safetensors",
615
+ "model.layers.4.mlp.gate_proj.scales": "model-00001-of-00002.safetensors",
616
+ "model.layers.4.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
617
+ "model.layers.4.mlp.up_proj.biases": "model-00001-of-00002.safetensors",
618
+ "model.layers.4.mlp.up_proj.scales": "model-00001-of-00002.safetensors",
619
+ "model.layers.4.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
620
+ "model.layers.4.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
621
+ "model.layers.4.self_attn.k_proj.biases": "model-00001-of-00002.safetensors",
622
+ "model.layers.4.self_attn.k_proj.scales": "model-00001-of-00002.safetensors",
623
+ "model.layers.4.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
624
+ "model.layers.4.self_attn.o_proj.biases": "model-00001-of-00002.safetensors",
625
+ "model.layers.4.self_attn.o_proj.scales": "model-00001-of-00002.safetensors",
626
+ "model.layers.4.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
627
+ "model.layers.4.self_attn.q_proj.biases": "model-00001-of-00002.safetensors",
628
+ "model.layers.4.self_attn.q_proj.scales": "model-00001-of-00002.safetensors",
629
+ "model.layers.4.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
630
+ "model.layers.4.self_attn.v_proj.biases": "model-00001-of-00002.safetensors",
631
+ "model.layers.4.self_attn.v_proj.scales": "model-00001-of-00002.safetensors",
632
+ "model.layers.4.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
633
+ "model.layers.5.input_layernorm.weight": "model-00001-of-00002.safetensors",
634
+ "model.layers.5.mlp.down_proj.biases": "model-00001-of-00002.safetensors",
635
+ "model.layers.5.mlp.down_proj.scales": "model-00001-of-00002.safetensors",
636
+ "model.layers.5.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
637
+ "model.layers.5.mlp.gate_proj.biases": "model-00001-of-00002.safetensors",
638
+ "model.layers.5.mlp.gate_proj.scales": "model-00001-of-00002.safetensors",
639
+ "model.layers.5.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
640
+ "model.layers.5.mlp.up_proj.biases": "model-00001-of-00002.safetensors",
641
+ "model.layers.5.mlp.up_proj.scales": "model-00001-of-00002.safetensors",
642
+ "model.layers.5.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
643
+ "model.layers.5.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
644
+ "model.layers.5.self_attn.k_proj.biases": "model-00001-of-00002.safetensors",
645
+ "model.layers.5.self_attn.k_proj.scales": "model-00001-of-00002.safetensors",
646
+ "model.layers.5.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
647
+ "model.layers.5.self_attn.o_proj.biases": "model-00001-of-00002.safetensors",
648
+ "model.layers.5.self_attn.o_proj.scales": "model-00001-of-00002.safetensors",
649
+ "model.layers.5.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
650
+ "model.layers.5.self_attn.q_proj.biases": "model-00001-of-00002.safetensors",
651
+ "model.layers.5.self_attn.q_proj.scales": "model-00001-of-00002.safetensors",
652
+ "model.layers.5.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
653
+ "model.layers.5.self_attn.v_proj.biases": "model-00001-of-00002.safetensors",
654
+ "model.layers.5.self_attn.v_proj.scales": "model-00001-of-00002.safetensors",
655
+ "model.layers.5.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
656
+ "model.layers.6.input_layernorm.weight": "model-00001-of-00002.safetensors",
657
+ "model.layers.6.mlp.down_proj.biases": "model-00001-of-00002.safetensors",
658
+ "model.layers.6.mlp.down_proj.scales": "model-00001-of-00002.safetensors",
659
+ "model.layers.6.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
660
+ "model.layers.6.mlp.gate_proj.biases": "model-00001-of-00002.safetensors",
661
+ "model.layers.6.mlp.gate_proj.scales": "model-00001-of-00002.safetensors",
662
+ "model.layers.6.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
663
+ "model.layers.6.mlp.up_proj.biases": "model-00001-of-00002.safetensors",
664
+ "model.layers.6.mlp.up_proj.scales": "model-00001-of-00002.safetensors",
665
+ "model.layers.6.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
666
+ "model.layers.6.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
667
+ "model.layers.6.self_attn.k_proj.biases": "model-00001-of-00002.safetensors",
668
+ "model.layers.6.self_attn.k_proj.scales": "model-00001-of-00002.safetensors",
669
+ "model.layers.6.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
670
+ "model.layers.6.self_attn.o_proj.biases": "model-00001-of-00002.safetensors",
671
+ "model.layers.6.self_attn.o_proj.scales": "model-00001-of-00002.safetensors",
672
+ "model.layers.6.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
673
+ "model.layers.6.self_attn.q_proj.biases": "model-00001-of-00002.safetensors",
674
+ "model.layers.6.self_attn.q_proj.scales": "model-00001-of-00002.safetensors",
675
+ "model.layers.6.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
676
+ "model.layers.6.self_attn.v_proj.biases": "model-00001-of-00002.safetensors",
677
+ "model.layers.6.self_attn.v_proj.scales": "model-00001-of-00002.safetensors",
678
+ "model.layers.6.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
679
+ "model.layers.7.input_layernorm.weight": "model-00001-of-00002.safetensors",
680
+ "model.layers.7.mlp.down_proj.biases": "model-00001-of-00002.safetensors",
681
+ "model.layers.7.mlp.down_proj.scales": "model-00001-of-00002.safetensors",
682
+ "model.layers.7.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
683
+ "model.layers.7.mlp.gate_proj.biases": "model-00001-of-00002.safetensors",
684
+ "model.layers.7.mlp.gate_proj.scales": "model-00001-of-00002.safetensors",
685
+ "model.layers.7.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
686
+ "model.layers.7.mlp.up_proj.biases": "model-00001-of-00002.safetensors",
687
+ "model.layers.7.mlp.up_proj.scales": "model-00001-of-00002.safetensors",
688
+ "model.layers.7.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
689
+ "model.layers.7.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
690
+ "model.layers.7.self_attn.k_proj.biases": "model-00001-of-00002.safetensors",
691
+ "model.layers.7.self_attn.k_proj.scales": "model-00001-of-00002.safetensors",
692
+ "model.layers.7.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
693
+ "model.layers.7.self_attn.o_proj.biases": "model-00001-of-00002.safetensors",
694
+ "model.layers.7.self_attn.o_proj.scales": "model-00001-of-00002.safetensors",
695
+ "model.layers.7.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
696
+ "model.layers.7.self_attn.q_proj.biases": "model-00001-of-00002.safetensors",
697
+ "model.layers.7.self_attn.q_proj.scales": "model-00001-of-00002.safetensors",
698
+ "model.layers.7.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
699
+ "model.layers.7.self_attn.v_proj.biases": "model-00001-of-00002.safetensors",
700
+ "model.layers.7.self_attn.v_proj.scales": "model-00001-of-00002.safetensors",
701
+ "model.layers.7.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
702
+ "model.layers.8.input_layernorm.weight": "model-00001-of-00002.safetensors",
703
+ "model.layers.8.mlp.down_proj.biases": "model-00001-of-00002.safetensors",
704
+ "model.layers.8.mlp.down_proj.scales": "model-00001-of-00002.safetensors",
705
+ "model.layers.8.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
706
+ "model.layers.8.mlp.gate_proj.biases": "model-00001-of-00002.safetensors",
707
+ "model.layers.8.mlp.gate_proj.scales": "model-00001-of-00002.safetensors",
708
+ "model.layers.8.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
709
+ "model.layers.8.mlp.up_proj.biases": "model-00001-of-00002.safetensors",
710
+ "model.layers.8.mlp.up_proj.scales": "model-00001-of-00002.safetensors",
711
+ "model.layers.8.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
712
+ "model.layers.8.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
713
+ "model.layers.8.self_attn.k_proj.biases": "model-00001-of-00002.safetensors",
714
+ "model.layers.8.self_attn.k_proj.scales": "model-00001-of-00002.safetensors",
715
+ "model.layers.8.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
716
+ "model.layers.8.self_attn.o_proj.biases": "model-00001-of-00002.safetensors",
717
+ "model.layers.8.self_attn.o_proj.scales": "model-00001-of-00002.safetensors",
718
+ "model.layers.8.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
719
+ "model.layers.8.self_attn.q_proj.biases": "model-00001-of-00002.safetensors",
720
+ "model.layers.8.self_attn.q_proj.scales": "model-00001-of-00002.safetensors",
721
+ "model.layers.8.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
722
+ "model.layers.8.self_attn.v_proj.biases": "model-00001-of-00002.safetensors",
723
+ "model.layers.8.self_attn.v_proj.scales": "model-00001-of-00002.safetensors",
724
+ "model.layers.8.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
725
+ "model.layers.9.input_layernorm.weight": "model-00001-of-00002.safetensors",
726
+ "model.layers.9.mlp.down_proj.biases": "model-00001-of-00002.safetensors",
727
+ "model.layers.9.mlp.down_proj.scales": "model-00001-of-00002.safetensors",
728
+ "model.layers.9.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
729
+ "model.layers.9.mlp.gate_proj.biases": "model-00001-of-00002.safetensors",
730
+ "model.layers.9.mlp.gate_proj.scales": "model-00001-of-00002.safetensors",
731
+ "model.layers.9.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
732
+ "model.layers.9.mlp.up_proj.biases": "model-00001-of-00002.safetensors",
733
+ "model.layers.9.mlp.up_proj.scales": "model-00001-of-00002.safetensors",
734
+ "model.layers.9.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
735
+ "model.layers.9.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
736
+ "model.layers.9.self_attn.k_proj.biases": "model-00001-of-00002.safetensors",
737
+ "model.layers.9.self_attn.k_proj.scales": "model-00001-of-00002.safetensors",
738
+ "model.layers.9.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
739
+ "model.layers.9.self_attn.o_proj.biases": "model-00001-of-00002.safetensors",
740
+ "model.layers.9.self_attn.o_proj.scales": "model-00001-of-00002.safetensors",
741
+ "model.layers.9.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
742
+ "model.layers.9.self_attn.q_proj.biases": "model-00001-of-00002.safetensors",
743
+ "model.layers.9.self_attn.q_proj.scales": "model-00001-of-00002.safetensors",
744
+ "model.layers.9.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
745
+ "model.layers.9.self_attn.v_proj.biases": "model-00001-of-00002.safetensors",
746
+ "model.layers.9.self_attn.v_proj.scales": "model-00001-of-00002.safetensors",
747
+ "model.layers.9.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
748
+ "model.norm.weight": "model-00002-of-00002.safetensors"
749
+ }
750
+ }
special_tokens_map.json ADDED
@@ -0,0 +1,35 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "additional_special_tokens": [
3
+ "<|im_start|>",
4
+ "<|im_end|>",
5
+ "<|im_sep|>"
6
+ ],
7
+ "bos_token": {
8
+ "content": "<|startoftext|>",
9
+ "lstrip": false,
10
+ "normalized": true,
11
+ "rstrip": false,
12
+ "single_word": false
13
+ },
14
+ "eos_token": {
15
+ "content": "<|endoftext|>",
16
+ "lstrip": false,
17
+ "normalized": true,
18
+ "rstrip": false,
19
+ "single_word": false
20
+ },
21
+ "pad_token": {
22
+ "content": "<unk>",
23
+ "lstrip": false,
24
+ "normalized": true,
25
+ "rstrip": false,
26
+ "single_word": false
27
+ },
28
+ "unk_token": {
29
+ "content": "<unk>",
30
+ "lstrip": false,
31
+ "normalized": true,
32
+ "rstrip": false,
33
+ "single_word": false
34
+ }
35
+ }
tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
tokenizer.model ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:386c49cf943d71aa110361135338c50e38beeff0a66593480421f37b319e1a39
3
+ size 1033105
tokenizer_config.json ADDED
@@ -0,0 +1,1873 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": false,
3
+ "add_eos_token": false,
4
+ "add_prefix_space": null,
5
+ "added_tokens_decoder": {
6
+ "0": {
7
+ "content": "<unk>",
8
+ "lstrip": false,
9
+ "normalized": true,
10
+ "rstrip": false,
11
+ "single_word": false,
12
+ "special": true
13
+ },
14
+ "1": {
15
+ "content": "<|startoftext|>",
16
+ "lstrip": false,
17
+ "normalized": true,
18
+ "rstrip": false,
19
+ "single_word": false,
20
+ "special": true
21
+ },
22
+ "2": {
23
+ "content": "<|endoftext|>",
24
+ "lstrip": false,
25
+ "normalized": true,
26
+ "rstrip": false,
27
+ "single_word": false,
28
+ "special": true
29
+ },
30
+ "6": {
31
+ "content": "<|im_start|>",
32
+ "lstrip": false,
33
+ "normalized": false,
34
+ "rstrip": false,
35
+ "single_word": false,
36
+ "special": true
37
+ },
38
+ "7": {
39
+ "content": "<|im_end|>",
40
+ "lstrip": false,
41
+ "normalized": false,
42
+ "rstrip": false,
43
+ "single_word": false,
44
+ "special": true
45
+ },
46
+ "8": {
47
+ "content": "<|im_sep|>",
48
+ "lstrip": false,
49
+ "normalized": false,
50
+ "rstrip": false,
51
+ "single_word": false,
52
+ "special": true
53
+ },
54
+ "14": {
55
+ "content": "<fim_prefix>",
56
+ "lstrip": false,
57
+ "normalized": false,
58
+ "rstrip": false,
59
+ "single_word": false,
60
+ "special": true
61
+ },
62
+ "15": {
63
+ "content": "<fim_middle>",
64
+ "lstrip": false,
65
+ "normalized": false,
66
+ "rstrip": false,
67
+ "single_word": false,
68
+ "special": true
69
+ },
70
+ "16": {
71
+ "content": "<fim_suffix>",
72
+ "lstrip": false,
73
+ "normalized": false,
74
+ "rstrip": false,
75
+ "single_word": false,
76
+ "special": true
77
+ },
78
+ "17": {
79
+ "content": "<fim_pad>",
80
+ "lstrip": false,
81
+ "normalized": false,
82
+ "rstrip": false,
83
+ "single_word": false,
84
+ "special": true
85
+ },
86
+ "18": {
87
+ "content": "<filename>",
88
+ "lstrip": false,
89
+ "normalized": false,
90
+ "rstrip": false,
91
+ "single_word": false,
92
+ "special": true
93
+ },
94
+ "19": {
95
+ "content": "<gh_stars>",
96
+ "lstrip": false,
97
+ "normalized": false,
98
+ "rstrip": false,
99
+ "single_word": false,
100
+ "special": true
101
+ },
102
+ "20": {
103
+ "content": "<issue_start>",
104
+ "lstrip": false,
105
+ "normalized": false,
106
+ "rstrip": false,
107
+ "single_word": false,
108
+ "special": true
109
+ },
110
+ "21": {
111
+ "content": "<issue_comment>",
112
+ "lstrip": false,
113
+ "normalized": false,
114
+ "rstrip": false,
115
+ "single_word": false,
116
+ "special": true
117
+ },
118
+ "22": {
119
+ "content": "<issue_closed>",
120
+ "lstrip": false,
121
+ "normalized": false,
122
+ "rstrip": false,
123
+ "single_word": false,
124
+ "special": true
125
+ },
126
+ "23": {
127
+ "content": "<jupyter_start>",
128
+ "lstrip": false,
129
+ "normalized": false,
130
+ "rstrip": false,
131
+ "single_word": false,
132
+ "special": true
133
+ },
134
+ "24": {
135
+ "content": "<jupyter_text>",
136
+ "lstrip": false,
137
+ "normalized": false,
138
+ "rstrip": false,
139
+ "single_word": false,
140
+ "special": true
141
+ },
142
+ "25": {
143
+ "content": "<jupyter_code>",
144
+ "lstrip": false,
145
+ "normalized": false,
146
+ "rstrip": false,
147
+ "single_word": false,
148
+ "special": true
149
+ },
150
+ "26": {
151
+ "content": "<jupyter_output>",
152
+ "lstrip": false,
153
+ "normalized": false,
154
+ "rstrip": false,
155
+ "single_word": false,
156
+ "special": true
157
+ },
158
+ "27": {
159
+ "content": "<empty_output>",
160
+ "lstrip": false,
161
+ "normalized": false,
162
+ "rstrip": false,
163
+ "single_word": false,
164
+ "special": true
165
+ },
166
+ "28": {
167
+ "content": "<commit_before>",
168
+ "lstrip": false,
169
+ "normalized": false,
170
+ "rstrip": false,
171
+ "single_word": false,
172
+ "special": true
173
+ },
174
+ "29": {
175
+ "content": "<commit_msg>",
176
+ "lstrip": false,
177
+ "normalized": false,
178
+ "rstrip": false,
179
+ "single_word": false,
180
+ "special": true
181
+ },
182
+ "30": {
183
+ "content": "<commit_after>",
184
+ "lstrip": false,
185
+ "normalized": false,
186
+ "rstrip": false,
187
+ "single_word": false,
188
+ "special": true
189
+ },
190
+ "31": {
191
+ "content": "<reponame>",
192
+ "lstrip": false,
193
+ "normalized": false,
194
+ "rstrip": false,
195
+ "single_word": false,
196
+ "special": true
197
+ },
198
+ "32": {
199
+ "content": "<h1>",
200
+ "lstrip": false,
201
+ "normalized": false,
202
+ "rstrip": false,
203
+ "single_word": false,
204
+ "special": true
205
+ },
206
+ "33": {
207
+ "content": "<h1/>",
208
+ "lstrip": false,
209
+ "normalized": false,
210
+ "rstrip": false,
211
+ "single_word": false,
212
+ "special": true
213
+ },
214
+ "34": {
215
+ "content": "</h1>",
216
+ "lstrip": false,
217
+ "normalized": false,
218
+ "rstrip": false,
219
+ "single_word": false,
220
+ "special": true
221
+ },
222
+ "35": {
223
+ "content": "<h2>",
224
+ "lstrip": false,
225
+ "normalized": false,
226
+ "rstrip": false,
227
+ "single_word": false,
228
+ "special": true
229
+ },
230
+ "36": {
231
+ "content": "<h2/>",
232
+ "lstrip": false,
233
+ "normalized": false,
234
+ "rstrip": false,
235
+ "single_word": false,
236
+ "special": true
237
+ },
238
+ "37": {
239
+ "content": "</h2>",
240
+ "lstrip": false,
241
+ "normalized": false,
242
+ "rstrip": false,
243
+ "single_word": false,
244
+ "special": true
245
+ },
246
+ "38": {
247
+ "content": "<h3>",
248
+ "lstrip": false,
249
+ "normalized": false,
250
+ "rstrip": false,
251
+ "single_word": false,
252
+ "special": true
253
+ },
254
+ "39": {
255
+ "content": "<h3/>",
256
+ "lstrip": false,
257
+ "normalized": false,
258
+ "rstrip": false,
259
+ "single_word": false,
260
+ "special": true
261
+ },
262
+ "40": {
263
+ "content": "</h3>",
264
+ "lstrip": false,
265
+ "normalized": false,
266
+ "rstrip": false,
267
+ "single_word": false,
268
+ "special": true
269
+ },
270
+ "41": {
271
+ "content": "<h4>",
272
+ "lstrip": false,
273
+ "normalized": false,
274
+ "rstrip": false,
275
+ "single_word": false,
276
+ "special": true
277
+ },
278
+ "42": {
279
+ "content": "<h4/>",
280
+ "lstrip": false,
281
+ "normalized": false,
282
+ "rstrip": false,
283
+ "single_word": false,
284
+ "special": true
285
+ },
286
+ "43": {
287
+ "content": "</h4>",
288
+ "lstrip": false,
289
+ "normalized": false,
290
+ "rstrip": false,
291
+ "single_word": false,
292
+ "special": true
293
+ },
294
+ "44": {
295
+ "content": "<h5>",
296
+ "lstrip": false,
297
+ "normalized": false,
298
+ "rstrip": false,
299
+ "single_word": false,
300
+ "special": true
301
+ },
302
+ "45": {
303
+ "content": "<h5/>",
304
+ "lstrip": false,
305
+ "normalized": false,
306
+ "rstrip": false,
307
+ "single_word": false,
308
+ "special": true
309
+ },
310
+ "46": {
311
+ "content": "</h5>",
312
+ "lstrip": false,
313
+ "normalized": false,
314
+ "rstrip": false,
315
+ "single_word": false,
316
+ "special": true
317
+ },
318
+ "47": {
319
+ "content": "<br>",
320
+ "lstrip": false,
321
+ "normalized": false,
322
+ "rstrip": false,
323
+ "single_word": false,
324
+ "special": true
325
+ },
326
+ "48": {
327
+ "content": "<br/>",
328
+ "lstrip": false,
329
+ "normalized": false,
330
+ "rstrip": false,
331
+ "single_word": false,
332
+ "special": true
333
+ },
334
+ "49": {
335
+ "content": "</br>",
336
+ "lstrip": false,
337
+ "normalized": false,
338
+ "rstrip": false,
339
+ "single_word": false,
340
+ "special": true
341
+ },
342
+ "50": {
343
+ "content": "<strong>",
344
+ "lstrip": false,
345
+ "normalized": false,
346
+ "rstrip": false,
347
+ "single_word": false,
348
+ "special": true
349
+ },
350
+ "51": {
351
+ "content": "<strong/>",
352
+ "lstrip": false,
353
+ "normalized": false,
354
+ "rstrip": false,
355
+ "single_word": false,
356
+ "special": true
357
+ },
358
+ "52": {
359
+ "content": "</strong>",
360
+ "lstrip": false,
361
+ "normalized": false,
362
+ "rstrip": false,
363
+ "single_word": false,
364
+ "special": true
365
+ },
366
+ "53": {
367
+ "content": "<p>",
368
+ "lstrip": false,
369
+ "normalized": false,
370
+ "rstrip": false,
371
+ "single_word": false,
372
+ "special": true
373
+ },
374
+ "54": {
375
+ "content": "<p/>",
376
+ "lstrip": false,
377
+ "normalized": false,
378
+ "rstrip": false,
379
+ "single_word": false,
380
+ "special": true
381
+ },
382
+ "55": {
383
+ "content": "</p>",
384
+ "lstrip": false,
385
+ "normalized": false,
386
+ "rstrip": false,
387
+ "single_word": false,
388
+ "special": true
389
+ },
390
+ "56": {
391
+ "content": "<table>",
392
+ "lstrip": false,
393
+ "normalized": false,
394
+ "rstrip": false,
395
+ "single_word": false,
396
+ "special": true
397
+ },
398
+ "57": {
399
+ "content": "<table/>",
400
+ "lstrip": false,
401
+ "normalized": false,
402
+ "rstrip": false,
403
+ "single_word": false,
404
+ "special": true
405
+ },
406
+ "58": {
407
+ "content": "</table>",
408
+ "lstrip": false,
409
+ "normalized": false,
410
+ "rstrip": false,
411
+ "single_word": false,
412
+ "special": true
413
+ },
414
+ "59": {
415
+ "content": "<li>",
416
+ "lstrip": false,
417
+ "normalized": false,
418
+ "rstrip": false,
419
+ "single_word": false,
420
+ "special": true
421
+ },
422
+ "60": {
423
+ "content": "<li/>",
424
+ "lstrip": false,
425
+ "normalized": false,
426
+ "rstrip": false,
427
+ "single_word": false,
428
+ "special": true
429
+ },
430
+ "61": {
431
+ "content": "</li>",
432
+ "lstrip": false,
433
+ "normalized": false,
434
+ "rstrip": false,
435
+ "single_word": false,
436
+ "special": true
437
+ },
438
+ "62": {
439
+ "content": "<tr>",
440
+ "lstrip": false,
441
+ "normalized": false,
442
+ "rstrip": false,
443
+ "single_word": false,
444
+ "special": true
445
+ },
446
+ "63": {
447
+ "content": "<tr/>",
448
+ "lstrip": false,
449
+ "normalized": false,
450
+ "rstrip": false,
451
+ "single_word": false,
452
+ "special": true
453
+ },
454
+ "64": {
455
+ "content": "</tr>",
456
+ "lstrip": false,
457
+ "normalized": false,
458
+ "rstrip": false,
459
+ "single_word": false,
460
+ "special": true
461
+ },
462
+ "65": {
463
+ "content": "<tbody>",
464
+ "lstrip": false,
465
+ "normalized": false,
466
+ "rstrip": false,
467
+ "single_word": false,
468
+ "special": true
469
+ },
470
+ "66": {
471
+ "content": "<tbody/>",
472
+ "lstrip": false,
473
+ "normalized": false,
474
+ "rstrip": false,
475
+ "single_word": false,
476
+ "special": true
477
+ },
478
+ "67": {
479
+ "content": "</tbody>",
480
+ "lstrip": false,
481
+ "normalized": false,
482
+ "rstrip": false,
483
+ "single_word": false,
484
+ "special": true
485
+ },
486
+ "68": {
487
+ "content": "<img>",
488
+ "lstrip": false,
489
+ "normalized": false,
490
+ "rstrip": false,
491
+ "single_word": false,
492
+ "special": true
493
+ },
494
+ "69": {
495
+ "content": "<img/>",
496
+ "lstrip": false,
497
+ "normalized": false,
498
+ "rstrip": false,
499
+ "single_word": false,
500
+ "special": true
501
+ },
502
+ "70": {
503
+ "content": "</img>",
504
+ "lstrip": false,
505
+ "normalized": false,
506
+ "rstrip": false,
507
+ "single_word": false,
508
+ "special": true
509
+ },
510
+ "71": {
511
+ "content": "<b>",
512
+ "lstrip": false,
513
+ "normalized": false,
514
+ "rstrip": false,
515
+ "single_word": false,
516
+ "special": true
517
+ },
518
+ "72": {
519
+ "content": "<b/>",
520
+ "lstrip": false,
521
+ "normalized": false,
522
+ "rstrip": false,
523
+ "single_word": false,
524
+ "special": true
525
+ },
526
+ "73": {
527
+ "content": "</b>",
528
+ "lstrip": false,
529
+ "normalized": false,
530
+ "rstrip": false,
531
+ "single_word": false,
532
+ "special": true
533
+ },
534
+ "74": {
535
+ "content": "<td>",
536
+ "lstrip": false,
537
+ "normalized": false,
538
+ "rstrip": false,
539
+ "single_word": false,
540
+ "special": true
541
+ },
542
+ "75": {
543
+ "content": "<td/>",
544
+ "lstrip": false,
545
+ "normalized": false,
546
+ "rstrip": false,
547
+ "single_word": false,
548
+ "special": true
549
+ },
550
+ "76": {
551
+ "content": "</td>",
552
+ "lstrip": false,
553
+ "normalized": false,
554
+ "rstrip": false,
555
+ "single_word": false,
556
+ "special": true
557
+ },
558
+ "115": {
559
+ "content": "<!--",
560
+ "lstrip": false,
561
+ "normalized": false,
562
+ "rstrip": false,
563
+ "single_word": false,
564
+ "special": true
565
+ },
566
+ "118": {
567
+ "content": "<!DOCTYPE>",
568
+ "lstrip": false,
569
+ "normalized": false,
570
+ "rstrip": false,
571
+ "single_word": false,
572
+ "special": true
573
+ },
574
+ "145": {
575
+ "content": "<|unused000|>",
576
+ "lstrip": false,
577
+ "normalized": false,
578
+ "rstrip": false,
579
+ "single_word": false,
580
+ "special": true
581
+ },
582
+ "146": {
583
+ "content": "<|unused001|>",
584
+ "lstrip": false,
585
+ "normalized": false,
586
+ "rstrip": false,
587
+ "single_word": false,
588
+ "special": true
589
+ },
590
+ "147": {
591
+ "content": "<|unused002|>",
592
+ "lstrip": false,
593
+ "normalized": false,
594
+ "rstrip": false,
595
+ "single_word": false,
596
+ "special": true
597
+ },
598
+ "148": {
599
+ "content": "<|unused003|>",
600
+ "lstrip": false,
601
+ "normalized": false,
602
+ "rstrip": false,
603
+ "single_word": false,
604
+ "special": true
605
+ },
606
+ "149": {
607
+ "content": "<|unused004|>",
608
+ "lstrip": false,
609
+ "normalized": false,
610
+ "rstrip": false,
611
+ "single_word": false,
612
+ "special": true
613
+ },
614
+ "150": {
615
+ "content": "<|unused005|>",
616
+ "lstrip": false,
617
+ "normalized": false,
618
+ "rstrip": false,
619
+ "single_word": false,
620
+ "special": true
621
+ },
622
+ "151": {
623
+ "content": "<|unused006|>",
624
+ "lstrip": false,
625
+ "normalized": false,
626
+ "rstrip": false,
627
+ "single_word": false,
628
+ "special": true
629
+ },
630
+ "152": {
631
+ "content": "<|unused007|>",
632
+ "lstrip": false,
633
+ "normalized": false,
634
+ "rstrip": false,
635
+ "single_word": false,
636
+ "special": true
637
+ },
638
+ "153": {
639
+ "content": "<|unused008|>",
640
+ "lstrip": false,
641
+ "normalized": false,
642
+ "rstrip": false,
643
+ "single_word": false,
644
+ "special": true
645
+ },
646
+ "154": {
647
+ "content": "<|unused009|>",
648
+ "lstrip": false,
649
+ "normalized": false,
650
+ "rstrip": false,
651
+ "single_word": false,
652
+ "special": true
653
+ },
654
+ "155": {
655
+ "content": "<|unused010|>",
656
+ "lstrip": false,
657
+ "normalized": false,
658
+ "rstrip": false,
659
+ "single_word": false,
660
+ "special": true
661
+ },
662
+ "156": {
663
+ "content": "<|unused011|>",
664
+ "lstrip": false,
665
+ "normalized": false,
666
+ "rstrip": false,
667
+ "single_word": false,
668
+ "special": true
669
+ },
670
+ "157": {
671
+ "content": "<|unused012|>",
672
+ "lstrip": false,
673
+ "normalized": false,
674
+ "rstrip": false,
675
+ "single_word": false,
676
+ "special": true
677
+ },
678
+ "158": {
679
+ "content": "<|unused013|>",
680
+ "lstrip": false,
681
+ "normalized": false,
682
+ "rstrip": false,
683
+ "single_word": false,
684
+ "special": true
685
+ },
686
+ "159": {
687
+ "content": "<|unused014|>",
688
+ "lstrip": false,
689
+ "normalized": false,
690
+ "rstrip": false,
691
+ "single_word": false,
692
+ "special": true
693
+ },
694
+ "160": {
695
+ "content": "<|unused015|>",
696
+ "lstrip": false,
697
+ "normalized": false,
698
+ "rstrip": false,
699
+ "single_word": false,
700
+ "special": true
701
+ },
702
+ "161": {
703
+ "content": "<|unused016|>",
704
+ "lstrip": false,
705
+ "normalized": false,
706
+ "rstrip": false,
707
+ "single_word": false,
708
+ "special": true
709
+ },
710
+ "162": {
711
+ "content": "<|unused017|>",
712
+ "lstrip": false,
713
+ "normalized": false,
714
+ "rstrip": false,
715
+ "single_word": false,
716
+ "special": true
717
+ },
718
+ "163": {
719
+ "content": "<|unused018|>",
720
+ "lstrip": false,
721
+ "normalized": false,
722
+ "rstrip": false,
723
+ "single_word": false,
724
+ "special": true
725
+ },
726
+ "164": {
727
+ "content": "<|unused019|>",
728
+ "lstrip": false,
729
+ "normalized": false,
730
+ "rstrip": false,
731
+ "single_word": false,
732
+ "special": true
733
+ },
734
+ "165": {
735
+ "content": "<|unused020|>",
736
+ "lstrip": false,
737
+ "normalized": false,
738
+ "rstrip": false,
739
+ "single_word": false,
740
+ "special": true
741
+ },
742
+ "166": {
743
+ "content": "<|unused021|>",
744
+ "lstrip": false,
745
+ "normalized": false,
746
+ "rstrip": false,
747
+ "single_word": false,
748
+ "special": true
749
+ },
750
+ "167": {
751
+ "content": "<|unused022|>",
752
+ "lstrip": false,
753
+ "normalized": false,
754
+ "rstrip": false,
755
+ "single_word": false,
756
+ "special": true
757
+ },
758
+ "168": {
759
+ "content": "<|unused023|>",
760
+ "lstrip": false,
761
+ "normalized": false,
762
+ "rstrip": false,
763
+ "single_word": false,
764
+ "special": true
765
+ },
766
+ "169": {
767
+ "content": "<|unused024|>",
768
+ "lstrip": false,
769
+ "normalized": false,
770
+ "rstrip": false,
771
+ "single_word": false,
772
+ "special": true
773
+ },
774
+ "170": {
775
+ "content": "<|unused025|>",
776
+ "lstrip": false,
777
+ "normalized": false,
778
+ "rstrip": false,
779
+ "single_word": false,
780
+ "special": true
781
+ },
782
+ "171": {
783
+ "content": "<|unused026|>",
784
+ "lstrip": false,
785
+ "normalized": false,
786
+ "rstrip": false,
787
+ "single_word": false,
788
+ "special": true
789
+ },
790
+ "172": {
791
+ "content": "<|unused027|>",
792
+ "lstrip": false,
793
+ "normalized": false,
794
+ "rstrip": false,
795
+ "single_word": false,
796
+ "special": true
797
+ },
798
+ "173": {
799
+ "content": "<|unused028|>",
800
+ "lstrip": false,
801
+ "normalized": false,
802
+ "rstrip": false,
803
+ "single_word": false,
804
+ "special": true
805
+ },
806
+ "174": {
807
+ "content": "<|unused029|>",
808
+ "lstrip": false,
809
+ "normalized": false,
810
+ "rstrip": false,
811
+ "single_word": false,
812
+ "special": true
813
+ },
814
+ "175": {
815
+ "content": "<|unused030|>",
816
+ "lstrip": false,
817
+ "normalized": false,
818
+ "rstrip": false,
819
+ "single_word": false,
820
+ "special": true
821
+ },
822
+ "176": {
823
+ "content": "<|unused031|>",
824
+ "lstrip": false,
825
+ "normalized": false,
826
+ "rstrip": false,
827
+ "single_word": false,
828
+ "special": true
829
+ },
830
+ "177": {
831
+ "content": "<|unused032|>",
832
+ "lstrip": false,
833
+ "normalized": false,
834
+ "rstrip": false,
835
+ "single_word": false,
836
+ "special": true
837
+ },
838
+ "178": {
839
+ "content": "<|unused033|>",
840
+ "lstrip": false,
841
+ "normalized": false,
842
+ "rstrip": false,
843
+ "single_word": false,
844
+ "special": true
845
+ },
846
+ "179": {
847
+ "content": "<|unused034|>",
848
+ "lstrip": false,
849
+ "normalized": false,
850
+ "rstrip": false,
851
+ "single_word": false,
852
+ "special": true
853
+ },
854
+ "180": {
855
+ "content": "<|unused035|>",
856
+ "lstrip": false,
857
+ "normalized": false,
858
+ "rstrip": false,
859
+ "single_word": false,
860
+ "special": true
861
+ },
862
+ "181": {
863
+ "content": "<|unused036|>",
864
+ "lstrip": false,
865
+ "normalized": false,
866
+ "rstrip": false,
867
+ "single_word": false,
868
+ "special": true
869
+ },
870
+ "182": {
871
+ "content": "<|unused037|>",
872
+ "lstrip": false,
873
+ "normalized": false,
874
+ "rstrip": false,
875
+ "single_word": false,
876
+ "special": true
877
+ },
878
+ "183": {
879
+ "content": "<|unused038|>",
880
+ "lstrip": false,
881
+ "normalized": false,
882
+ "rstrip": false,
883
+ "single_word": false,
884
+ "special": true
885
+ },
886
+ "184": {
887
+ "content": "<|unused039|>",
888
+ "lstrip": false,
889
+ "normalized": false,
890
+ "rstrip": false,
891
+ "single_word": false,
892
+ "special": true
893
+ },
894
+ "185": {
895
+ "content": "<|unused040|>",
896
+ "lstrip": false,
897
+ "normalized": false,
898
+ "rstrip": false,
899
+ "single_word": false,
900
+ "special": true
901
+ },
902
+ "186": {
903
+ "content": "<|unused041|>",
904
+ "lstrip": false,
905
+ "normalized": false,
906
+ "rstrip": false,
907
+ "single_word": false,
908
+ "special": true
909
+ },
910
+ "187": {
911
+ "content": "<|unused042|>",
912
+ "lstrip": false,
913
+ "normalized": false,
914
+ "rstrip": false,
915
+ "single_word": false,
916
+ "special": true
917
+ },
918
+ "188": {
919
+ "content": "<|unused043|>",
920
+ "lstrip": false,
921
+ "normalized": false,
922
+ "rstrip": false,
923
+ "single_word": false,
924
+ "special": true
925
+ },
926
+ "189": {
927
+ "content": "<|unused044|>",
928
+ "lstrip": false,
929
+ "normalized": false,
930
+ "rstrip": false,
931
+ "single_word": false,
932
+ "special": true
933
+ },
934
+ "190": {
935
+ "content": "<|unused045|>",
936
+ "lstrip": false,
937
+ "normalized": false,
938
+ "rstrip": false,
939
+ "single_word": false,
940
+ "special": true
941
+ },
942
+ "191": {
943
+ "content": "<|unused046|>",
944
+ "lstrip": false,
945
+ "normalized": false,
946
+ "rstrip": false,
947
+ "single_word": false,
948
+ "special": true
949
+ },
950
+ "192": {
951
+ "content": "<|unused047|>",
952
+ "lstrip": false,
953
+ "normalized": false,
954
+ "rstrip": false,
955
+ "single_word": false,
956
+ "special": true
957
+ },
958
+ "193": {
959
+ "content": "<|unused048|>",
960
+ "lstrip": false,
961
+ "normalized": false,
962
+ "rstrip": false,
963
+ "single_word": false,
964
+ "special": true
965
+ },
966
+ "194": {
967
+ "content": "<|unused049|>",
968
+ "lstrip": false,
969
+ "normalized": false,
970
+ "rstrip": false,
971
+ "single_word": false,
972
+ "special": true
973
+ },
974
+ "195": {
975
+ "content": "<|unused050|>",
976
+ "lstrip": false,
977
+ "normalized": false,
978
+ "rstrip": false,
979
+ "single_word": false,
980
+ "special": true
981
+ },
982
+ "196": {
983
+ "content": "<|unused051|>",
984
+ "lstrip": false,
985
+ "normalized": false,
986
+ "rstrip": false,
987
+ "single_word": false,
988
+ "special": true
989
+ },
990
+ "197": {
991
+ "content": "<|unused052|>",
992
+ "lstrip": false,
993
+ "normalized": false,
994
+ "rstrip": false,
995
+ "single_word": false,
996
+ "special": true
997
+ },
998
+ "198": {
999
+ "content": "<|unused053|>",
1000
+ "lstrip": false,
1001
+ "normalized": false,
1002
+ "rstrip": false,
1003
+ "single_word": false,
1004
+ "special": true
1005
+ },
1006
+ "199": {
1007
+ "content": "<|unused054|>",
1008
+ "lstrip": false,
1009
+ "normalized": false,
1010
+ "rstrip": false,
1011
+ "single_word": false,
1012
+ "special": true
1013
+ },
1014
+ "200": {
1015
+ "content": "<|unused055|>",
1016
+ "lstrip": false,
1017
+ "normalized": false,
1018
+ "rstrip": false,
1019
+ "single_word": false,
1020
+ "special": true
1021
+ },
1022
+ "201": {
1023
+ "content": "<|unused056|>",
1024
+ "lstrip": false,
1025
+ "normalized": false,
1026
+ "rstrip": false,
1027
+ "single_word": false,
1028
+ "special": true
1029
+ },
1030
+ "202": {
1031
+ "content": "<|unused057|>",
1032
+ "lstrip": false,
1033
+ "normalized": false,
1034
+ "rstrip": false,
1035
+ "single_word": false,
1036
+ "special": true
1037
+ },
1038
+ "203": {
1039
+ "content": "<|unused058|>",
1040
+ "lstrip": false,
1041
+ "normalized": false,
1042
+ "rstrip": false,
1043
+ "single_word": false,
1044
+ "special": true
1045
+ },
1046
+ "204": {
1047
+ "content": "<|unused059|>",
1048
+ "lstrip": false,
1049
+ "normalized": false,
1050
+ "rstrip": false,
1051
+ "single_word": false,
1052
+ "special": true
1053
+ },
1054
+ "205": {
1055
+ "content": "<|unused060|>",
1056
+ "lstrip": false,
1057
+ "normalized": false,
1058
+ "rstrip": false,
1059
+ "single_word": false,
1060
+ "special": true
1061
+ },
1062
+ "206": {
1063
+ "content": "<|unused061|>",
1064
+ "lstrip": false,
1065
+ "normalized": false,
1066
+ "rstrip": false,
1067
+ "single_word": false,
1068
+ "special": true
1069
+ },
1070
+ "207": {
1071
+ "content": "<|unused062|>",
1072
+ "lstrip": false,
1073
+ "normalized": false,
1074
+ "rstrip": false,
1075
+ "single_word": false,
1076
+ "special": true
1077
+ },
1078
+ "208": {
1079
+ "content": "<|unused063|>",
1080
+ "lstrip": false,
1081
+ "normalized": false,
1082
+ "rstrip": false,
1083
+ "single_word": false,
1084
+ "special": true
1085
+ },
1086
+ "209": {
1087
+ "content": "<|unused064|>",
1088
+ "lstrip": false,
1089
+ "normalized": false,
1090
+ "rstrip": false,
1091
+ "single_word": false,
1092
+ "special": true
1093
+ },
1094
+ "210": {
1095
+ "content": "<|unused065|>",
1096
+ "lstrip": false,
1097
+ "normalized": false,
1098
+ "rstrip": false,
1099
+ "single_word": false,
1100
+ "special": true
1101
+ },
1102
+ "211": {
1103
+ "content": "<|unused066|>",
1104
+ "lstrip": false,
1105
+ "normalized": false,
1106
+ "rstrip": false,
1107
+ "single_word": false,
1108
+ "special": true
1109
+ },
1110
+ "212": {
1111
+ "content": "<|unused067|>",
1112
+ "lstrip": false,
1113
+ "normalized": false,
1114
+ "rstrip": false,
1115
+ "single_word": false,
1116
+ "special": true
1117
+ },
1118
+ "213": {
1119
+ "content": "<|unused068|>",
1120
+ "lstrip": false,
1121
+ "normalized": false,
1122
+ "rstrip": false,
1123
+ "single_word": false,
1124
+ "special": true
1125
+ },
1126
+ "214": {
1127
+ "content": "<|unused069|>",
1128
+ "lstrip": false,
1129
+ "normalized": false,
1130
+ "rstrip": false,
1131
+ "single_word": false,
1132
+ "special": true
1133
+ },
1134
+ "215": {
1135
+ "content": "<|unused070|>",
1136
+ "lstrip": false,
1137
+ "normalized": false,
1138
+ "rstrip": false,
1139
+ "single_word": false,
1140
+ "special": true
1141
+ },
1142
+ "216": {
1143
+ "content": "<|unused071|>",
1144
+ "lstrip": false,
1145
+ "normalized": false,
1146
+ "rstrip": false,
1147
+ "single_word": false,
1148
+ "special": true
1149
+ },
1150
+ "217": {
1151
+ "content": "<|unused072|>",
1152
+ "lstrip": false,
1153
+ "normalized": false,
1154
+ "rstrip": false,
1155
+ "single_word": false,
1156
+ "special": true
1157
+ },
1158
+ "218": {
1159
+ "content": "<|unused073|>",
1160
+ "lstrip": false,
1161
+ "normalized": false,
1162
+ "rstrip": false,
1163
+ "single_word": false,
1164
+ "special": true
1165
+ },
1166
+ "219": {
1167
+ "content": "<|unused074|>",
1168
+ "lstrip": false,
1169
+ "normalized": false,
1170
+ "rstrip": false,
1171
+ "single_word": false,
1172
+ "special": true
1173
+ },
1174
+ "220": {
1175
+ "content": "<|unused075|>",
1176
+ "lstrip": false,
1177
+ "normalized": false,
1178
+ "rstrip": false,
1179
+ "single_word": false,
1180
+ "special": true
1181
+ },
1182
+ "221": {
1183
+ "content": "<|unused076|>",
1184
+ "lstrip": false,
1185
+ "normalized": false,
1186
+ "rstrip": false,
1187
+ "single_word": false,
1188
+ "special": true
1189
+ },
1190
+ "222": {
1191
+ "content": "<|unused077|>",
1192
+ "lstrip": false,
1193
+ "normalized": false,
1194
+ "rstrip": false,
1195
+ "single_word": false,
1196
+ "special": true
1197
+ },
1198
+ "223": {
1199
+ "content": "<|unused078|>",
1200
+ "lstrip": false,
1201
+ "normalized": false,
1202
+ "rstrip": false,
1203
+ "single_word": false,
1204
+ "special": true
1205
+ },
1206
+ "224": {
1207
+ "content": "<|unused079|>",
1208
+ "lstrip": false,
1209
+ "normalized": false,
1210
+ "rstrip": false,
1211
+ "single_word": false,
1212
+ "special": true
1213
+ },
1214
+ "225": {
1215
+ "content": "<|unused080|>",
1216
+ "lstrip": false,
1217
+ "normalized": false,
1218
+ "rstrip": false,
1219
+ "single_word": false,
1220
+ "special": true
1221
+ },
1222
+ "226": {
1223
+ "content": "<|unused081|>",
1224
+ "lstrip": false,
1225
+ "normalized": false,
1226
+ "rstrip": false,
1227
+ "single_word": false,
1228
+ "special": true
1229
+ },
1230
+ "227": {
1231
+ "content": "<|unused082|>",
1232
+ "lstrip": false,
1233
+ "normalized": false,
1234
+ "rstrip": false,
1235
+ "single_word": false,
1236
+ "special": true
1237
+ },
1238
+ "228": {
1239
+ "content": "<|unused083|>",
1240
+ "lstrip": false,
1241
+ "normalized": false,
1242
+ "rstrip": false,
1243
+ "single_word": false,
1244
+ "special": true
1245
+ },
1246
+ "229": {
1247
+ "content": "<|unused084|>",
1248
+ "lstrip": false,
1249
+ "normalized": false,
1250
+ "rstrip": false,
1251
+ "single_word": false,
1252
+ "special": true
1253
+ },
1254
+ "230": {
1255
+ "content": "<|unused085|>",
1256
+ "lstrip": false,
1257
+ "normalized": false,
1258
+ "rstrip": false,
1259
+ "single_word": false,
1260
+ "special": true
1261
+ },
1262
+ "231": {
1263
+ "content": "<|unused086|>",
1264
+ "lstrip": false,
1265
+ "normalized": false,
1266
+ "rstrip": false,
1267
+ "single_word": false,
1268
+ "special": true
1269
+ },
1270
+ "232": {
1271
+ "content": "<|unused087|>",
1272
+ "lstrip": false,
1273
+ "normalized": false,
1274
+ "rstrip": false,
1275
+ "single_word": false,
1276
+ "special": true
1277
+ },
1278
+ "233": {
1279
+ "content": "<|unused088|>",
1280
+ "lstrip": false,
1281
+ "normalized": false,
1282
+ "rstrip": false,
1283
+ "single_word": false,
1284
+ "special": true
1285
+ },
1286
+ "234": {
1287
+ "content": "<|unused089|>",
1288
+ "lstrip": false,
1289
+ "normalized": false,
1290
+ "rstrip": false,
1291
+ "single_word": false,
1292
+ "special": true
1293
+ },
1294
+ "235": {
1295
+ "content": "<|unused090|>",
1296
+ "lstrip": false,
1297
+ "normalized": false,
1298
+ "rstrip": false,
1299
+ "single_word": false,
1300
+ "special": true
1301
+ },
1302
+ "236": {
1303
+ "content": "<|unused091|>",
1304
+ "lstrip": false,
1305
+ "normalized": false,
1306
+ "rstrip": false,
1307
+ "single_word": false,
1308
+ "special": true
1309
+ },
1310
+ "237": {
1311
+ "content": "<|unused092|>",
1312
+ "lstrip": false,
1313
+ "normalized": false,
1314
+ "rstrip": false,
1315
+ "single_word": false,
1316
+ "special": true
1317
+ },
1318
+ "238": {
1319
+ "content": "<|unused093|>",
1320
+ "lstrip": false,
1321
+ "normalized": false,
1322
+ "rstrip": false,
1323
+ "single_word": false,
1324
+ "special": true
1325
+ },
1326
+ "239": {
1327
+ "content": "<|unused094|>",
1328
+ "lstrip": false,
1329
+ "normalized": false,
1330
+ "rstrip": false,
1331
+ "single_word": false,
1332
+ "special": true
1333
+ },
1334
+ "240": {
1335
+ "content": "<|unused095|>",
1336
+ "lstrip": false,
1337
+ "normalized": false,
1338
+ "rstrip": false,
1339
+ "single_word": false,
1340
+ "special": true
1341
+ },
1342
+ "241": {
1343
+ "content": "<|unused096|>",
1344
+ "lstrip": false,
1345
+ "normalized": false,
1346
+ "rstrip": false,
1347
+ "single_word": false,
1348
+ "special": true
1349
+ },
1350
+ "242": {
1351
+ "content": "<|unused097|>",
1352
+ "lstrip": false,
1353
+ "normalized": false,
1354
+ "rstrip": false,
1355
+ "single_word": false,
1356
+ "special": true
1357
+ },
1358
+ "243": {
1359
+ "content": "<|unused098|>",
1360
+ "lstrip": false,
1361
+ "normalized": false,
1362
+ "rstrip": false,
1363
+ "single_word": false,
1364
+ "special": true
1365
+ },
1366
+ "244": {
1367
+ "content": "<|unused099|>",
1368
+ "lstrip": false,
1369
+ "normalized": false,
1370
+ "rstrip": false,
1371
+ "single_word": false,
1372
+ "special": true
1373
+ },
1374
+ "245": {
1375
+ "content": "<|unused100|>",
1376
+ "lstrip": false,
1377
+ "normalized": false,
1378
+ "rstrip": false,
1379
+ "single_word": false,
1380
+ "special": true
1381
+ },
1382
+ "246": {
1383
+ "content": "<|unused101|>",
1384
+ "lstrip": false,
1385
+ "normalized": false,
1386
+ "rstrip": false,
1387
+ "single_word": false,
1388
+ "special": true
1389
+ },
1390
+ "247": {
1391
+ "content": "<|unused102|>",
1392
+ "lstrip": false,
1393
+ "normalized": false,
1394
+ "rstrip": false,
1395
+ "single_word": false,
1396
+ "special": true
1397
+ },
1398
+ "248": {
1399
+ "content": "<|unused103|>",
1400
+ "lstrip": false,
1401
+ "normalized": false,
1402
+ "rstrip": false,
1403
+ "single_word": false,
1404
+ "special": true
1405
+ },
1406
+ "249": {
1407
+ "content": "<|unused104|>",
1408
+ "lstrip": false,
1409
+ "normalized": false,
1410
+ "rstrip": false,
1411
+ "single_word": false,
1412
+ "special": true
1413
+ },
1414
+ "250": {
1415
+ "content": "<|unused105|>",
1416
+ "lstrip": false,
1417
+ "normalized": false,
1418
+ "rstrip": false,
1419
+ "single_word": false,
1420
+ "special": true
1421
+ },
1422
+ "251": {
1423
+ "content": "<|unused106|>",
1424
+ "lstrip": false,
1425
+ "normalized": false,
1426
+ "rstrip": false,
1427
+ "single_word": false,
1428
+ "special": true
1429
+ },
1430
+ "252": {
1431
+ "content": "<|unused107|>",
1432
+ "lstrip": false,
1433
+ "normalized": false,
1434
+ "rstrip": false,
1435
+ "single_word": false,
1436
+ "special": true
1437
+ },
1438
+ "253": {
1439
+ "content": "<|unused108|>",
1440
+ "lstrip": false,
1441
+ "normalized": false,
1442
+ "rstrip": false,
1443
+ "single_word": false,
1444
+ "special": true
1445
+ },
1446
+ "254": {
1447
+ "content": "<|unused109|>",
1448
+ "lstrip": false,
1449
+ "normalized": false,
1450
+ "rstrip": false,
1451
+ "single_word": false,
1452
+ "special": true
1453
+ },
1454
+ "255": {
1455
+ "content": "<|unused110|>",
1456
+ "lstrip": false,
1457
+ "normalized": false,
1458
+ "rstrip": false,
1459
+ "single_word": false,
1460
+ "special": true
1461
+ },
1462
+ "256": {
1463
+ "content": "<|unused111|>",
1464
+ "lstrip": false,
1465
+ "normalized": false,
1466
+ "rstrip": false,
1467
+ "single_word": false,
1468
+ "special": true
1469
+ },
1470
+ "257": {
1471
+ "content": "<|unused112|>",
1472
+ "lstrip": false,
1473
+ "normalized": false,
1474
+ "rstrip": false,
1475
+ "single_word": false,
1476
+ "special": true
1477
+ },
1478
+ "258": {
1479
+ "content": "<|unused113|>",
1480
+ "lstrip": false,
1481
+ "normalized": false,
1482
+ "rstrip": false,
1483
+ "single_word": false,
1484
+ "special": true
1485
+ },
1486
+ "259": {
1487
+ "content": "<|unused114|>",
1488
+ "lstrip": false,
1489
+ "normalized": false,
1490
+ "rstrip": false,
1491
+ "single_word": false,
1492
+ "special": true
1493
+ },
1494
+ "260": {
1495
+ "content": "<|unused115|>",
1496
+ "lstrip": false,
1497
+ "normalized": false,
1498
+ "rstrip": false,
1499
+ "single_word": false,
1500
+ "special": true
1501
+ },
1502
+ "261": {
1503
+ "content": "<|unused116|>",
1504
+ "lstrip": false,
1505
+ "normalized": false,
1506
+ "rstrip": false,
1507
+ "single_word": false,
1508
+ "special": true
1509
+ },
1510
+ "262": {
1511
+ "content": "<|unused117|>",
1512
+ "lstrip": false,
1513
+ "normalized": false,
1514
+ "rstrip": false,
1515
+ "single_word": false,
1516
+ "special": true
1517
+ },
1518
+ "263": {
1519
+ "content": "<|unused118|>",
1520
+ "lstrip": false,
1521
+ "normalized": false,
1522
+ "rstrip": false,
1523
+ "single_word": false,
1524
+ "special": true
1525
+ },
1526
+ "264": {
1527
+ "content": "<|unused119|>",
1528
+ "lstrip": false,
1529
+ "normalized": false,
1530
+ "rstrip": false,
1531
+ "single_word": false,
1532
+ "special": true
1533
+ },
1534
+ "265": {
1535
+ "content": "<|unused120|>",
1536
+ "lstrip": false,
1537
+ "normalized": false,
1538
+ "rstrip": false,
1539
+ "single_word": false,
1540
+ "special": true
1541
+ },
1542
+ "266": {
1543
+ "content": "<|unused121|>",
1544
+ "lstrip": false,
1545
+ "normalized": false,
1546
+ "rstrip": false,
1547
+ "single_word": false,
1548
+ "special": true
1549
+ },
1550
+ "267": {
1551
+ "content": "<|unused122|>",
1552
+ "lstrip": false,
1553
+ "normalized": false,
1554
+ "rstrip": false,
1555
+ "single_word": false,
1556
+ "special": true
1557
+ },
1558
+ "268": {
1559
+ "content": "<|unused123|>",
1560
+ "lstrip": false,
1561
+ "normalized": false,
1562
+ "rstrip": false,
1563
+ "single_word": false,
1564
+ "special": true
1565
+ },
1566
+ "269": {
1567
+ "content": "<|unused124|>",
1568
+ "lstrip": false,
1569
+ "normalized": false,
1570
+ "rstrip": false,
1571
+ "single_word": false,
1572
+ "special": true
1573
+ },
1574
+ "270": {
1575
+ "content": "<|unused125|>",
1576
+ "lstrip": false,
1577
+ "normalized": false,
1578
+ "rstrip": false,
1579
+ "single_word": false,
1580
+ "special": true
1581
+ },
1582
+ "271": {
1583
+ "content": "<|unused126|>",
1584
+ "lstrip": false,
1585
+ "normalized": false,
1586
+ "rstrip": false,
1587
+ "single_word": false,
1588
+ "special": true
1589
+ },
1590
+ "272": {
1591
+ "content": "<|unused127|>",
1592
+ "lstrip": false,
1593
+ "normalized": false,
1594
+ "rstrip": false,
1595
+ "single_word": false,
1596
+ "special": true
1597
+ },
1598
+ "273": {
1599
+ "content": "<|unused128|>",
1600
+ "lstrip": false,
1601
+ "normalized": false,
1602
+ "rstrip": false,
1603
+ "single_word": false,
1604
+ "special": true
1605
+ },
1606
+ "274": {
1607
+ "content": "<|unused129|>",
1608
+ "lstrip": false,
1609
+ "normalized": false,
1610
+ "rstrip": false,
1611
+ "single_word": false,
1612
+ "special": true
1613
+ },
1614
+ "275": {
1615
+ "content": "<|unused130|>",
1616
+ "lstrip": false,
1617
+ "normalized": false,
1618
+ "rstrip": false,
1619
+ "single_word": false,
1620
+ "special": true
1621
+ },
1622
+ "276": {
1623
+ "content": "<|unused131|>",
1624
+ "lstrip": false,
1625
+ "normalized": false,
1626
+ "rstrip": false,
1627
+ "single_word": false,
1628
+ "special": true
1629
+ },
1630
+ "277": {
1631
+ "content": "<|unused132|>",
1632
+ "lstrip": false,
1633
+ "normalized": false,
1634
+ "rstrip": false,
1635
+ "single_word": false,
1636
+ "special": true
1637
+ },
1638
+ "278": {
1639
+ "content": "<|unused133|>",
1640
+ "lstrip": false,
1641
+ "normalized": false,
1642
+ "rstrip": false,
1643
+ "single_word": false,
1644
+ "special": true
1645
+ },
1646
+ "279": {
1647
+ "content": "<|unused134|>",
1648
+ "lstrip": false,
1649
+ "normalized": false,
1650
+ "rstrip": false,
1651
+ "single_word": false,
1652
+ "special": true
1653
+ },
1654
+ "280": {
1655
+ "content": "<|unused135|>",
1656
+ "lstrip": false,
1657
+ "normalized": false,
1658
+ "rstrip": false,
1659
+ "single_word": false,
1660
+ "special": true
1661
+ },
1662
+ "281": {
1663
+ "content": "<|unused136|>",
1664
+ "lstrip": false,
1665
+ "normalized": false,
1666
+ "rstrip": false,
1667
+ "single_word": false,
1668
+ "special": true
1669
+ },
1670
+ "282": {
1671
+ "content": "<|unused137|>",
1672
+ "lstrip": false,
1673
+ "normalized": false,
1674
+ "rstrip": false,
1675
+ "single_word": false,
1676
+ "special": true
1677
+ },
1678
+ "283": {
1679
+ "content": "<|unused138|>",
1680
+ "lstrip": false,
1681
+ "normalized": false,
1682
+ "rstrip": false,
1683
+ "single_word": false,
1684
+ "special": true
1685
+ },
1686
+ "284": {
1687
+ "content": "<|unused139|>",
1688
+ "lstrip": false,
1689
+ "normalized": false,
1690
+ "rstrip": false,
1691
+ "single_word": false,
1692
+ "special": true
1693
+ },
1694
+ "285": {
1695
+ "content": "<|unused140|>",
1696
+ "lstrip": false,
1697
+ "normalized": false,
1698
+ "rstrip": false,
1699
+ "single_word": false,
1700
+ "special": true
1701
+ },
1702
+ "286": {
1703
+ "content": "<|unused141|>",
1704
+ "lstrip": false,
1705
+ "normalized": false,
1706
+ "rstrip": false,
1707
+ "single_word": false,
1708
+ "special": true
1709
+ },
1710
+ "287": {
1711
+ "content": "<|unused142|>",
1712
+ "lstrip": false,
1713
+ "normalized": false,
1714
+ "rstrip": false,
1715
+ "single_word": false,
1716
+ "special": true
1717
+ },
1718
+ "288": {
1719
+ "content": "<|unused143|>",
1720
+ "lstrip": false,
1721
+ "normalized": false,
1722
+ "rstrip": false,
1723
+ "single_word": false,
1724
+ "special": true
1725
+ },
1726
+ "289": {
1727
+ "content": "<|unused144|>",
1728
+ "lstrip": false,
1729
+ "normalized": false,
1730
+ "rstrip": false,
1731
+ "single_word": false,
1732
+ "special": true
1733
+ },
1734
+ "290": {
1735
+ "content": "<|unused145|>",
1736
+ "lstrip": false,
1737
+ "normalized": false,
1738
+ "rstrip": false,
1739
+ "single_word": false,
1740
+ "special": true
1741
+ },
1742
+ "291": {
1743
+ "content": "<|unused146|>",
1744
+ "lstrip": false,
1745
+ "normalized": false,
1746
+ "rstrip": false,
1747
+ "single_word": false,
1748
+ "special": true
1749
+ },
1750
+ "292": {
1751
+ "content": "<|unused147|>",
1752
+ "lstrip": false,
1753
+ "normalized": false,
1754
+ "rstrip": false,
1755
+ "single_word": false,
1756
+ "special": true
1757
+ },
1758
+ "293": {
1759
+ "content": "<|unused148|>",
1760
+ "lstrip": false,
1761
+ "normalized": false,
1762
+ "rstrip": false,
1763
+ "single_word": false,
1764
+ "special": true
1765
+ },
1766
+ "294": {
1767
+ "content": "<|unused149|>",
1768
+ "lstrip": false,
1769
+ "normalized": false,
1770
+ "rstrip": false,
1771
+ "single_word": false,
1772
+ "special": true
1773
+ },
1774
+ "295": {
1775
+ "content": "<|unused150|>",
1776
+ "lstrip": false,
1777
+ "normalized": false,
1778
+ "rstrip": false,
1779
+ "single_word": false,
1780
+ "special": true
1781
+ },
1782
+ "296": {
1783
+ "content": "<|unused151|>",
1784
+ "lstrip": false,
1785
+ "normalized": false,
1786
+ "rstrip": false,
1787
+ "single_word": false,
1788
+ "special": true
1789
+ },
1790
+ "297": {
1791
+ "content": "<|unused152|>",
1792
+ "lstrip": false,
1793
+ "normalized": false,
1794
+ "rstrip": false,
1795
+ "single_word": false,
1796
+ "special": true
1797
+ },
1798
+ "298": {
1799
+ "content": "<|unused153|>",
1800
+ "lstrip": false,
1801
+ "normalized": false,
1802
+ "rstrip": false,
1803
+ "single_word": false,
1804
+ "special": true
1805
+ },
1806
+ "299": {
1807
+ "content": "<|unused154|>",
1808
+ "lstrip": false,
1809
+ "normalized": false,
1810
+ "rstrip": false,
1811
+ "single_word": false,
1812
+ "special": true
1813
+ },
1814
+ "300": {
1815
+ "content": "<|unused155|>",
1816
+ "lstrip": false,
1817
+ "normalized": false,
1818
+ "rstrip": false,
1819
+ "single_word": false,
1820
+ "special": true
1821
+ },
1822
+ "301": {
1823
+ "content": "<|unused156|>",
1824
+ "lstrip": false,
1825
+ "normalized": false,
1826
+ "rstrip": false,
1827
+ "single_word": false,
1828
+ "special": true
1829
+ },
1830
+ "302": {
1831
+ "content": "<|unused157|>",
1832
+ "lstrip": false,
1833
+ "normalized": false,
1834
+ "rstrip": false,
1835
+ "single_word": false,
1836
+ "special": true
1837
+ },
1838
+ "303": {
1839
+ "content": "<|unused158|>",
1840
+ "lstrip": false,
1841
+ "normalized": false,
1842
+ "rstrip": false,
1843
+ "single_word": false,
1844
+ "special": true
1845
+ },
1846
+ "304": {
1847
+ "content": "<|unused159|>",
1848
+ "lstrip": false,
1849
+ "normalized": false,
1850
+ "rstrip": false,
1851
+ "single_word": false,
1852
+ "special": true
1853
+ }
1854
+ },
1855
+ "additional_special_tokens": [
1856
+ "<|im_start|>",
1857
+ "<|im_end|>",
1858
+ "<|im_sep|>"
1859
+ ],
1860
+ "bos_token": "<|startoftext|>",
1861
+ "chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% for message in messages %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}",
1862
+ "clean_up_tokenization_spaces": false,
1863
+ "eos_token": "<|endoftext|>",
1864
+ "legacy": true,
1865
+ "model_max_length": 4096,
1866
+ "pad_token": "<unk>",
1867
+ "padding_side": "right",
1868
+ "sp_model_kwargs": {},
1869
+ "spaces_between_special_tokens": false,
1870
+ "tokenizer_class": "LlamaTokenizer",
1871
+ "unk_token": "<unk>",
1872
+ "use_default_system_prompt": true
1873
+ }