Upload folder using huggingface_hub
Browse files- README.md +182 -0
- added_tokens.json +7 -0
- config.json +29 -0
- mergekit_config.yml +136 -0
- model-00001-of-00001.safetensors +3 -0
- model-00001-of-00003.safetensors +3 -0
- model-00002-of-00003.safetensors +3 -0
- model-00003-of-00003.safetensors +3 -0
- model.safetensors.index.json +1 -0
- special_tokens_map.json +37 -0
- tokenizer.model +3 -0
- tokenizer_config.json +95 -0
README.md
ADDED
@@ -0,0 +1,182 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
base_model:
|
3 |
+
- DewEfresh/neo_7b
|
4 |
+
- m-a-p/neo_7b
|
5 |
+
tags:
|
6 |
+
- merge
|
7 |
+
- mergekit
|
8 |
+
- lazymergekit
|
9 |
+
- DewEfresh/neo_7b
|
10 |
+
- m-a-p/neo_7b
|
11 |
+
---
|
12 |
+
|
13 |
+
# Neo_7b-merge19
|
14 |
+
|
15 |
+
Neo_7b-merge19 is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
|
16 |
+
* [DewEfresh/neo_7b](https://huggingface.co/DewEfresh/neo_7b)
|
17 |
+
* [m-a-p/neo_7b](https://huggingface.co/m-a-p/neo_7b)
|
18 |
+
|
19 |
+
## 🧩 Configuration
|
20 |
+
|
21 |
+
```yaml
|
22 |
+
# Define the slices for the model merging process
|
23 |
+
slices:
|
24 |
+
- sources:
|
25 |
+
# First part: merge layer 0 with layer 3
|
26 |
+
- model: DewEfresh/neo_7b
|
27 |
+
layer_range: [0, 1]
|
28 |
+
- model: m-a-p/neo_7b
|
29 |
+
layer_range: [3, 4]
|
30 |
+
- sources:
|
31 |
+
# Second part: merge layer 1 with layer 3
|
32 |
+
- model: DewEfresh/neo_7b
|
33 |
+
layer_range: [1, 2]
|
34 |
+
- model: m-a-p/neo_7b
|
35 |
+
layer_range: [3, 4]
|
36 |
+
- sources:
|
37 |
+
# Third part: merge layer 2 with layer 3
|
38 |
+
- model: DewEfresh/neo_7b
|
39 |
+
layer_range: [2, 3]
|
40 |
+
- model: m-a-p/neo_7b
|
41 |
+
layer_range: [3, 4]
|
42 |
+
- sources:
|
43 |
+
# Fourth part: merge layer 4 with layer 7
|
44 |
+
- model: DewEfresh/neo_7b
|
45 |
+
layer_range: [4, 5]
|
46 |
+
- model: m-a-p/neo_7b
|
47 |
+
layer_range: [7, 8]
|
48 |
+
- sources:
|
49 |
+
# Fifth part: merge layer 5 with layer 7
|
50 |
+
- model: DewEfresh/neo_7b
|
51 |
+
layer_range: [5, 6]
|
52 |
+
- model: m-a-p/neo_7b
|
53 |
+
layer_range: [7, 8]
|
54 |
+
- sources:
|
55 |
+
# Sixth part: merge layer 6 with layer 7
|
56 |
+
- model: DewEfresh/neo_7b
|
57 |
+
layer_range: [6, 7]
|
58 |
+
- model: m-a-p/neo_7b
|
59 |
+
layer_range: [7, 8]
|
60 |
+
- sources:
|
61 |
+
# Seventh part: merge layer 8 with layer 11
|
62 |
+
- model: DewEfresh/neo_7b
|
63 |
+
layer_range: [8, 9]
|
64 |
+
- model: m-a-p/neo_7b
|
65 |
+
layer_range: [11, 12]
|
66 |
+
- sources:
|
67 |
+
# Eighth part: merge layer 9 with layer 11
|
68 |
+
- model: DewEfresh/neo_7b
|
69 |
+
layer_range: [9, 10]
|
70 |
+
- model: m-a-p/neo_7b
|
71 |
+
layer_range: [11, 12]
|
72 |
+
- sources:
|
73 |
+
# Ninth part: merge layer 10 with layer 11
|
74 |
+
- model: DewEfresh/neo_7b
|
75 |
+
layer_range: [10, 11]
|
76 |
+
- model: m-a-p/neo_7b
|
77 |
+
layer_range: [11, 12]
|
78 |
+
- sources:
|
79 |
+
# Tenth part: merge layer 12 with layer 15
|
80 |
+
- model: DewEfresh/neo_7b
|
81 |
+
layer_range: [12, 13]
|
82 |
+
- model: m-a-p/neo_7b
|
83 |
+
layer_range: [15, 16]
|
84 |
+
- sources:
|
85 |
+
# Eleventh part: merge layer 13 with layer 15
|
86 |
+
- model: DewEfresh/neo_7b
|
87 |
+
layer_range: [13, 14]
|
88 |
+
- model: m-a-p/neo_7b
|
89 |
+
layer_range: [15, 16]
|
90 |
+
- sources:
|
91 |
+
# Twelfth part: merge layer 14 with layer 15
|
92 |
+
- model: DewEfresh/neo_7b
|
93 |
+
layer_range: [14, 15]
|
94 |
+
- model: m-a-p/neo_7b
|
95 |
+
layer_range: [15, 16]
|
96 |
+
- sources:
|
97 |
+
# Thirteenth part: merge layer 16 with layer 19
|
98 |
+
- model: DewEfresh/neo_7b
|
99 |
+
layer_range: [16, 17]
|
100 |
+
- model: m-a-p/neo_7b
|
101 |
+
layer_range: [19, 20]
|
102 |
+
- sources:
|
103 |
+
# Fourteenth part: merge layer 17 with layer 19
|
104 |
+
- model: DewEfresh/neo_7b
|
105 |
+
layer_range: [17, 18]
|
106 |
+
- model: m-a-p/neo_7b
|
107 |
+
layer_range: [19, 20]
|
108 |
+
- sources:
|
109 |
+
# Fifteenth part: merge layer 18 with layer 19
|
110 |
+
- model: DewEfresh/neo_7b
|
111 |
+
layer_range: [18, 19]
|
112 |
+
- model: m-a-p/neo_7b
|
113 |
+
layer_range: [19, 20]
|
114 |
+
- sources:
|
115 |
+
# Sixteenth part: merge layer 20 with layer 23
|
116 |
+
- model: DewEfresh/neo_7b
|
117 |
+
layer_range: [20, 21]
|
118 |
+
- model: m-a-p/neo_7b
|
119 |
+
layer_range: [23, 24]
|
120 |
+
- sources:
|
121 |
+
# Seventeenth part: merge layer 21 with layer 23
|
122 |
+
- model: DewEfresh/neo_7b
|
123 |
+
layer_range: [21, 22]
|
124 |
+
- model: m-a-p/neo_7b
|
125 |
+
layer_range: [23, 24]
|
126 |
+
- sources:
|
127 |
+
# Eighteenth part: merge layer 22 with layer 23
|
128 |
+
- model: DewEfresh/neo_7b
|
129 |
+
layer_range: [22, 23]
|
130 |
+
- model: m-a-p/neo_7b
|
131 |
+
layer_range: [23, 24]
|
132 |
+
- sources:
|
133 |
+
# Nineteenth part: merge layer 24 with layer 27
|
134 |
+
- model: DewEfresh/neo_7b
|
135 |
+
layer_range: [24, 25]
|
136 |
+
- model: m-a-p/neo_7b
|
137 |
+
layer_range: [26, 27]
|
138 |
+
- sources:
|
139 |
+
# Twentieth part: merge layer 25 with layer 27
|
140 |
+
- model: DewEfresh/neo_7b
|
141 |
+
layer_range: [25, 26]
|
142 |
+
- model: m-a-p/neo_7b
|
143 |
+
layer_range: [26, 27]
|
144 |
+
- sources:
|
145 |
+
# Twenty-first part: merge layer 26 with layer 27
|
146 |
+
- model: DewEfresh/neo_7b
|
147 |
+
layer_range: [26, 27]
|
148 |
+
- model: m-a-p/neo_7b
|
149 |
+
layer_range: [26, 27]
|
150 |
+
# Specify the merging method for the slices
|
151 |
+
merge_method: slerp
|
152 |
+
base_model: DewEfresh/neo_7b
|
153 |
+
parameters:
|
154 |
+
t: 1 # Set global interpolation value to 33.33%
|
155 |
+
dtype: bfloat16
|
156 |
+
|
157 |
+
```
|
158 |
+
|
159 |
+
## 💻 Usage
|
160 |
+
|
161 |
+
```python
|
162 |
+
!pip install -qU transformers accelerate
|
163 |
+
|
164 |
+
from transformers import AutoTokenizer
|
165 |
+
import transformers
|
166 |
+
import torch
|
167 |
+
|
168 |
+
model = "DewEfresh/Neo_7b-merge19"
|
169 |
+
messages = [{"role": "user", "content": "What is a large language model?"}]
|
170 |
+
|
171 |
+
tokenizer = AutoTokenizer.from_pretrained(model)
|
172 |
+
prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
|
173 |
+
pipeline = transformers.pipeline(
|
174 |
+
"text-generation",
|
175 |
+
model=model,
|
176 |
+
torch_dtype=torch.float16,
|
177 |
+
device_map="auto",
|
178 |
+
)
|
179 |
+
|
180 |
+
outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
|
181 |
+
print(outputs[0]["generated_text"])
|
182 |
+
```
|
added_tokens.json
ADDED
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"<|CLS|>": 64000,
|
3 |
+
"<|EOD|>": 64002,
|
4 |
+
"<|MASK|>": 64003,
|
5 |
+
"<|PAD|>": 64004,
|
6 |
+
"<|SEP|>": 64001
|
7 |
+
}
|
config.json
ADDED
@@ -0,0 +1,29 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "DewEfresh/neo_7b",
|
3 |
+
"architectures": [
|
4 |
+
"LlamaForCausalLM"
|
5 |
+
],
|
6 |
+
"attention_bias": false,
|
7 |
+
"attention_dropout": 0.0,
|
8 |
+
"bos_token_id": 1,
|
9 |
+
"eos_token_id": 2,
|
10 |
+
"hidden_act": "silu",
|
11 |
+
"hidden_size": 3072,
|
12 |
+
"initializer_range": 0.02,
|
13 |
+
"intermediate_size": 24576,
|
14 |
+
"max_position_embeddings": 8192,
|
15 |
+
"mlp_bias": false,
|
16 |
+
"model_type": "llama",
|
17 |
+
"num_attention_heads": 16,
|
18 |
+
"num_hidden_layers": 21,
|
19 |
+
"num_key_value_heads": 16,
|
20 |
+
"pretraining_tp": 1,
|
21 |
+
"rms_norm_eps": 1e-05,
|
22 |
+
"rope_scaling": null,
|
23 |
+
"rope_theta": 10000.0,
|
24 |
+
"tie_word_embeddings": false,
|
25 |
+
"torch_dtype": "bfloat16",
|
26 |
+
"transformers_version": "4.42.3",
|
27 |
+
"use_cache": true,
|
28 |
+
"vocab_size": 64256
|
29 |
+
}
|
mergekit_config.yml
ADDED
@@ -0,0 +1,136 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
|
2 |
+
# Define the slices for the model merging process
|
3 |
+
slices:
|
4 |
+
- sources:
|
5 |
+
# First part: merge layer 0 with layer 3
|
6 |
+
- model: DewEfresh/neo_7b
|
7 |
+
layer_range: [0, 1]
|
8 |
+
- model: m-a-p/neo_7b
|
9 |
+
layer_range: [3, 4]
|
10 |
+
- sources:
|
11 |
+
# Second part: merge layer 1 with layer 3
|
12 |
+
- model: DewEfresh/neo_7b
|
13 |
+
layer_range: [1, 2]
|
14 |
+
- model: m-a-p/neo_7b
|
15 |
+
layer_range: [3, 4]
|
16 |
+
- sources:
|
17 |
+
# Third part: merge layer 2 with layer 3
|
18 |
+
- model: DewEfresh/neo_7b
|
19 |
+
layer_range: [2, 3]
|
20 |
+
- model: m-a-p/neo_7b
|
21 |
+
layer_range: [3, 4]
|
22 |
+
- sources:
|
23 |
+
# Fourth part: merge layer 4 with layer 7
|
24 |
+
- model: DewEfresh/neo_7b
|
25 |
+
layer_range: [4, 5]
|
26 |
+
- model: m-a-p/neo_7b
|
27 |
+
layer_range: [7, 8]
|
28 |
+
- sources:
|
29 |
+
# Fifth part: merge layer 5 with layer 7
|
30 |
+
- model: DewEfresh/neo_7b
|
31 |
+
layer_range: [5, 6]
|
32 |
+
- model: m-a-p/neo_7b
|
33 |
+
layer_range: [7, 8]
|
34 |
+
- sources:
|
35 |
+
# Sixth part: merge layer 6 with layer 7
|
36 |
+
- model: DewEfresh/neo_7b
|
37 |
+
layer_range: [6, 7]
|
38 |
+
- model: m-a-p/neo_7b
|
39 |
+
layer_range: [7, 8]
|
40 |
+
- sources:
|
41 |
+
# Seventh part: merge layer 8 with layer 11
|
42 |
+
- model: DewEfresh/neo_7b
|
43 |
+
layer_range: [8, 9]
|
44 |
+
- model: m-a-p/neo_7b
|
45 |
+
layer_range: [11, 12]
|
46 |
+
- sources:
|
47 |
+
# Eighth part: merge layer 9 with layer 11
|
48 |
+
- model: DewEfresh/neo_7b
|
49 |
+
layer_range: [9, 10]
|
50 |
+
- model: m-a-p/neo_7b
|
51 |
+
layer_range: [11, 12]
|
52 |
+
- sources:
|
53 |
+
# Ninth part: merge layer 10 with layer 11
|
54 |
+
- model: DewEfresh/neo_7b
|
55 |
+
layer_range: [10, 11]
|
56 |
+
- model: m-a-p/neo_7b
|
57 |
+
layer_range: [11, 12]
|
58 |
+
- sources:
|
59 |
+
# Tenth part: merge layer 12 with layer 15
|
60 |
+
- model: DewEfresh/neo_7b
|
61 |
+
layer_range: [12, 13]
|
62 |
+
- model: m-a-p/neo_7b
|
63 |
+
layer_range: [15, 16]
|
64 |
+
- sources:
|
65 |
+
# Eleventh part: merge layer 13 with layer 15
|
66 |
+
- model: DewEfresh/neo_7b
|
67 |
+
layer_range: [13, 14]
|
68 |
+
- model: m-a-p/neo_7b
|
69 |
+
layer_range: [15, 16]
|
70 |
+
- sources:
|
71 |
+
# Twelfth part: merge layer 14 with layer 15
|
72 |
+
- model: DewEfresh/neo_7b
|
73 |
+
layer_range: [14, 15]
|
74 |
+
- model: m-a-p/neo_7b
|
75 |
+
layer_range: [15, 16]
|
76 |
+
- sources:
|
77 |
+
# Thirteenth part: merge layer 16 with layer 19
|
78 |
+
- model: DewEfresh/neo_7b
|
79 |
+
layer_range: [16, 17]
|
80 |
+
- model: m-a-p/neo_7b
|
81 |
+
layer_range: [19, 20]
|
82 |
+
- sources:
|
83 |
+
# Fourteenth part: merge layer 17 with layer 19
|
84 |
+
- model: DewEfresh/neo_7b
|
85 |
+
layer_range: [17, 18]
|
86 |
+
- model: m-a-p/neo_7b
|
87 |
+
layer_range: [19, 20]
|
88 |
+
- sources:
|
89 |
+
# Fifteenth part: merge layer 18 with layer 19
|
90 |
+
- model: DewEfresh/neo_7b
|
91 |
+
layer_range: [18, 19]
|
92 |
+
- model: m-a-p/neo_7b
|
93 |
+
layer_range: [19, 20]
|
94 |
+
- sources:
|
95 |
+
# Sixteenth part: merge layer 20 with layer 23
|
96 |
+
- model: DewEfresh/neo_7b
|
97 |
+
layer_range: [20, 21]
|
98 |
+
- model: m-a-p/neo_7b
|
99 |
+
layer_range: [23, 24]
|
100 |
+
- sources:
|
101 |
+
# Seventeenth part: merge layer 21 with layer 23
|
102 |
+
- model: DewEfresh/neo_7b
|
103 |
+
layer_range: [21, 22]
|
104 |
+
- model: m-a-p/neo_7b
|
105 |
+
layer_range: [23, 24]
|
106 |
+
- sources:
|
107 |
+
# Eighteenth part: merge layer 22 with layer 23
|
108 |
+
- model: DewEfresh/neo_7b
|
109 |
+
layer_range: [22, 23]
|
110 |
+
- model: m-a-p/neo_7b
|
111 |
+
layer_range: [23, 24]
|
112 |
+
- sources:
|
113 |
+
# Nineteenth part: merge layer 24 with layer 27
|
114 |
+
- model: DewEfresh/neo_7b
|
115 |
+
layer_range: [24, 25]
|
116 |
+
- model: m-a-p/neo_7b
|
117 |
+
layer_range: [26, 27]
|
118 |
+
- sources:
|
119 |
+
# Twentieth part: merge layer 25 with layer 27
|
120 |
+
- model: DewEfresh/neo_7b
|
121 |
+
layer_range: [25, 26]
|
122 |
+
- model: m-a-p/neo_7b
|
123 |
+
layer_range: [26, 27]
|
124 |
+
- sources:
|
125 |
+
# Twenty-first part: merge layer 26 with layer 27
|
126 |
+
- model: DewEfresh/neo_7b
|
127 |
+
layer_range: [26, 27]
|
128 |
+
- model: m-a-p/neo_7b
|
129 |
+
layer_range: [26, 27]
|
130 |
+
# Specify the merging method for the slices
|
131 |
+
merge_method: slerp
|
132 |
+
base_model: DewEfresh/neo_7b
|
133 |
+
parameters:
|
134 |
+
t: 1 # Set global interpolation value to 33.33%
|
135 |
+
dtype: bfloat16
|
136 |
+
|
model-00001-of-00001.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:41209159383a6438fa1e73146df470aae582c40bf510ec2495a3f8780477ce87
|
3 |
+
size 789584192
|
model-00001-of-00003.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:0d7a1ac607613be7b4ef45813de5362bb5a3c34f71754c35162f913f9054da04
|
3 |
+
size 4942051384
|
model-00002-of-00003.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:918c7f6f75b2eec39ec4ba94fb36dfb9143e9ace27845123b5496357414fd711
|
3 |
+
size 4907455808
|
model-00003-of-00003.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:9c9d5e2c94135e69b3f82a97c16e7011be1fab886dc86a4f9155654da2784809
|
3 |
+
size 2038485400
|
model.safetensors.index.json
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
{"metadata": {"mergekit_version": "0.0.4.4", "total_size": 11887970304}, "weight_map": {"lm_head.weight": "model-00001-of-00003.safetensors", "model.embed_tokens.weight": "model-00001-of-00003.safetensors", "model.layers.8.input_layernorm.weight": "model-00001-of-00003.safetensors", "model.layers.8.mlp.down_proj.weight": "model-00001-of-00003.safetensors", "model.layers.8.mlp.gate_proj.weight": "model-00001-of-00003.safetensors", "model.layers.8.mlp.up_proj.weight": "model-00001-of-00003.safetensors", "model.layers.8.post_attention_layernorm.weight": "model-00001-of-00003.safetensors", "model.layers.8.self_attn.k_proj.weight": "model-00001-of-00003.safetensors", "model.layers.8.self_attn.o_proj.weight": "model-00001-of-00003.safetensors", "model.layers.8.self_attn.q_proj.weight": "model-00001-of-00003.safetensors", "model.layers.8.self_attn.v_proj.weight": "model-00001-of-00003.safetensors", "model.layers.11.input_layernorm.weight": "model-00001-of-00003.safetensors", "model.layers.10.input_layernorm.weight": "model-00001-of-00003.safetensors", "model.layers.9.input_layernorm.weight": "model-00001-of-00003.safetensors", "model.layers.11.mlp.down_proj.weight": "model-00001-of-00003.safetensors", "model.layers.10.mlp.down_proj.weight": "model-00001-of-00003.safetensors", "model.layers.9.mlp.down_proj.weight": "model-00001-of-00003.safetensors", "model.layers.11.mlp.gate_proj.weight": "model-00001-of-00003.safetensors", "model.layers.10.mlp.gate_proj.weight": "model-00001-of-00003.safetensors", "model.layers.9.mlp.gate_proj.weight": "model-00001-of-00003.safetensors", "model.layers.11.mlp.up_proj.weight": "model-00001-of-00003.safetensors", "model.layers.10.mlp.up_proj.weight": "model-00001-of-00003.safetensors", "model.layers.9.mlp.up_proj.weight": "model-00001-of-00003.safetensors", "model.layers.11.post_attention_layernorm.weight": "model-00001-of-00003.safetensors", "model.layers.10.post_attention_layernorm.weight": "model-00001-of-00003.safetensors", "model.layers.9.post_attention_layernorm.weight": "model-00001-of-00003.safetensors", "model.layers.11.self_attn.k_proj.weight": "model-00001-of-00003.safetensors", "model.layers.10.self_attn.k_proj.weight": "model-00001-of-00003.safetensors", "model.layers.9.self_attn.k_proj.weight": "model-00001-of-00003.safetensors", "model.layers.11.self_attn.o_proj.weight": "model-00001-of-00003.safetensors", "model.layers.10.self_attn.o_proj.weight": "model-00001-of-00003.safetensors", "model.layers.9.self_attn.o_proj.weight": "model-00001-of-00003.safetensors", "model.layers.11.self_attn.q_proj.weight": "model-00001-of-00003.safetensors", "model.layers.10.self_attn.q_proj.weight": "model-00001-of-00003.safetensors", "model.layers.9.self_attn.q_proj.weight": "model-00001-of-00003.safetensors", "model.layers.11.self_attn.v_proj.weight": "model-00001-of-00003.safetensors", "model.layers.10.self_attn.v_proj.weight": "model-00001-of-00003.safetensors", "model.layers.9.self_attn.v_proj.weight": "model-00001-of-00003.safetensors", "model.layers.14.input_layernorm.weight": "model-00001-of-00003.safetensors", "model.layers.13.input_layernorm.weight": "model-00001-of-00003.safetensors", "model.layers.12.input_layernorm.weight": "model-00001-of-00003.safetensors", "model.layers.14.mlp.down_proj.weight": "model-00001-of-00003.safetensors", "model.layers.13.mlp.down_proj.weight": "model-00001-of-00003.safetensors", "model.layers.12.mlp.down_proj.weight": "model-00001-of-00003.safetensors", "model.layers.14.mlp.gate_proj.weight": "model-00001-of-00003.safetensors", "model.layers.13.mlp.gate_proj.weight": "model-00001-of-00003.safetensors", "model.layers.12.mlp.gate_proj.weight": "model-00001-of-00003.safetensors", "model.layers.14.mlp.up_proj.weight": "model-00001-of-00003.safetensors", "model.layers.13.mlp.up_proj.weight": "model-00001-of-00003.safetensors", "model.layers.12.mlp.up_proj.weight": "model-00001-of-00003.safetensors", "model.layers.14.post_attention_layernorm.weight": "model-00001-of-00003.safetensors", "model.layers.13.post_attention_layernorm.weight": "model-00001-of-00003.safetensors", "model.layers.12.post_attention_layernorm.weight": "model-00001-of-00003.safetensors", "model.layers.14.self_attn.k_proj.weight": "model-00001-of-00003.safetensors", "model.layers.13.self_attn.k_proj.weight": "model-00001-of-00003.safetensors", "model.layers.12.self_attn.k_proj.weight": "model-00001-of-00003.safetensors", "model.layers.14.self_attn.o_proj.weight": "model-00001-of-00003.safetensors", "model.layers.13.self_attn.o_proj.weight": "model-00001-of-00003.safetensors", "model.layers.12.self_attn.o_proj.weight": "model-00001-of-00003.safetensors", "model.layers.14.self_attn.q_proj.weight": "model-00001-of-00003.safetensors", "model.layers.13.self_attn.q_proj.weight": "model-00001-of-00003.safetensors", "model.layers.12.self_attn.q_proj.weight": "model-00001-of-00003.safetensors", "model.layers.14.self_attn.v_proj.weight": "model-00001-of-00003.safetensors", "model.layers.13.self_attn.v_proj.weight": "model-00001-of-00003.safetensors", "model.layers.12.self_attn.v_proj.weight": "model-00001-of-00003.safetensors", "model.layers.17.input_layernorm.weight": "model-00001-of-00003.safetensors", "model.layers.16.input_layernorm.weight": "model-00001-of-00003.safetensors", "model.layers.15.input_layernorm.weight": "model-00001-of-00003.safetensors", "model.layers.17.mlp.down_proj.weight": "model-00001-of-00003.safetensors", "model.layers.16.mlp.down_proj.weight": "model-00001-of-00003.safetensors", "model.layers.15.mlp.down_proj.weight": "model-00001-of-00003.safetensors", "model.layers.17.mlp.gate_proj.weight": "model-00002-of-00003.safetensors", "model.layers.16.mlp.gate_proj.weight": "model-00002-of-00003.safetensors", "model.layers.15.mlp.gate_proj.weight": "model-00002-of-00003.safetensors", "model.layers.17.mlp.up_proj.weight": "model-00002-of-00003.safetensors", "model.layers.16.mlp.up_proj.weight": "model-00002-of-00003.safetensors", "model.layers.15.mlp.up_proj.weight": "model-00002-of-00003.safetensors", "model.layers.17.post_attention_layernorm.weight": "model-00002-of-00003.safetensors", "model.layers.16.post_attention_layernorm.weight": "model-00002-of-00003.safetensors", "model.layers.15.post_attention_layernorm.weight": "model-00002-of-00003.safetensors", "model.layers.17.self_attn.k_proj.weight": "model-00002-of-00003.safetensors", "model.layers.16.self_attn.k_proj.weight": "model-00002-of-00003.safetensors", "model.layers.15.self_attn.k_proj.weight": "model-00002-of-00003.safetensors", "model.layers.17.self_attn.o_proj.weight": "model-00002-of-00003.safetensors", "model.layers.16.self_attn.o_proj.weight": "model-00002-of-00003.safetensors", "model.layers.15.self_attn.o_proj.weight": "model-00002-of-00003.safetensors", "model.layers.17.self_attn.q_proj.weight": "model-00002-of-00003.safetensors", "model.layers.16.self_attn.q_proj.weight": "model-00002-of-00003.safetensors", "model.layers.15.self_attn.q_proj.weight": "model-00002-of-00003.safetensors", "model.layers.17.self_attn.v_proj.weight": "model-00002-of-00003.safetensors", "model.layers.16.self_attn.v_proj.weight": "model-00002-of-00003.safetensors", "model.layers.15.self_attn.v_proj.weight": "model-00002-of-00003.safetensors", "model.layers.20.input_layernorm.weight": "model-00002-of-00003.safetensors", "model.layers.19.input_layernorm.weight": "model-00002-of-00003.safetensors", "model.layers.18.input_layernorm.weight": "model-00002-of-00003.safetensors", "model.layers.19.mlp.down_proj.weight": "model-00002-of-00003.safetensors", "model.layers.18.mlp.down_proj.weight": "model-00002-of-00003.safetensors", "model.layers.20.mlp.down_proj.weight": "model-00002-of-00003.safetensors", "model.layers.20.mlp.gate_proj.weight": "model-00002-of-00003.safetensors", "model.layers.19.mlp.gate_proj.weight": "model-00002-of-00003.safetensors", "model.layers.18.mlp.gate_proj.weight": "model-00002-of-00003.safetensors", "model.layers.20.mlp.up_proj.weight": "model-00002-of-00003.safetensors", "model.layers.19.mlp.up_proj.weight": "model-00002-of-00003.safetensors", "model.layers.18.mlp.up_proj.weight": "model-00002-of-00003.safetensors", "model.layers.20.post_attention_layernorm.weight": "model-00002-of-00003.safetensors", "model.layers.19.post_attention_layernorm.weight": "model-00002-of-00003.safetensors", "model.layers.18.post_attention_layernorm.weight": "model-00002-of-00003.safetensors", "model.layers.20.self_attn.k_proj.weight": "model-00002-of-00003.safetensors", "model.layers.19.self_attn.k_proj.weight": "model-00002-of-00003.safetensors", "model.layers.18.self_attn.k_proj.weight": "model-00002-of-00003.safetensors", "model.layers.20.self_attn.o_proj.weight": "model-00002-of-00003.safetensors", "model.layers.19.self_attn.o_proj.weight": "model-00002-of-00003.safetensors", "model.layers.18.self_attn.o_proj.weight": "model-00002-of-00003.safetensors", "model.layers.19.self_attn.q_proj.weight": "model-00002-of-00003.safetensors", "model.layers.18.self_attn.q_proj.weight": "model-00002-of-00003.safetensors", "model.layers.20.self_attn.q_proj.weight": "model-00002-of-00003.safetensors", "model.layers.20.self_attn.v_proj.weight": "model-00002-of-00003.safetensors", "model.layers.19.self_attn.v_proj.weight": "model-00002-of-00003.safetensors", "model.layers.18.self_attn.v_proj.weight": "model-00002-of-00003.safetensors", "model.layers.2.input_layernorm.weight": "model-00002-of-00003.safetensors", "model.layers.1.input_layernorm.weight": "model-00002-of-00003.safetensors", "model.layers.0.input_layernorm.weight": "model-00002-of-00003.safetensors", "model.layers.2.mlp.down_proj.weight": "model-00002-of-00003.safetensors", "model.layers.1.mlp.down_proj.weight": "model-00002-of-00003.safetensors", "model.layers.0.mlp.down_proj.weight": "model-00002-of-00003.safetensors", "model.layers.2.mlp.gate_proj.weight": "model-00002-of-00003.safetensors", "model.layers.1.mlp.gate_proj.weight": "model-00002-of-00003.safetensors", "model.layers.0.mlp.gate_proj.weight": "model-00002-of-00003.safetensors", "model.layers.2.mlp.up_proj.weight": "model-00002-of-00003.safetensors", "model.layers.1.mlp.up_proj.weight": "model-00002-of-00003.safetensors", "model.layers.0.mlp.up_proj.weight": "model-00002-of-00003.safetensors", "model.layers.2.post_attention_layernorm.weight": "model-00002-of-00003.safetensors", "model.layers.1.post_attention_layernorm.weight": "model-00002-of-00003.safetensors", "model.layers.0.post_attention_layernorm.weight": "model-00002-of-00003.safetensors", "model.layers.2.self_attn.k_proj.weight": "model-00002-of-00003.safetensors", "model.layers.1.self_attn.k_proj.weight": "model-00002-of-00003.safetensors", "model.layers.0.self_attn.k_proj.weight": "model-00002-of-00003.safetensors", "model.layers.2.self_attn.o_proj.weight": "model-00002-of-00003.safetensors", "model.layers.1.self_attn.o_proj.weight": "model-00002-of-00003.safetensors", "model.layers.0.self_attn.o_proj.weight": "model-00002-of-00003.safetensors", "model.layers.2.self_attn.q_proj.weight": "model-00002-of-00003.safetensors", "model.layers.1.self_attn.q_proj.weight": "model-00002-of-00003.safetensors", "model.layers.0.self_attn.q_proj.weight": "model-00002-of-00003.safetensors", "model.layers.2.self_attn.v_proj.weight": "model-00002-of-00003.safetensors", "model.layers.1.self_attn.v_proj.weight": "model-00002-of-00003.safetensors", "model.layers.0.self_attn.v_proj.weight": "model-00002-of-00003.safetensors", "model.layers.5.input_layernorm.weight": "model-00002-of-00003.safetensors", "model.layers.4.input_layernorm.weight": "model-00002-of-00003.safetensors", "model.layers.3.input_layernorm.weight": "model-00002-of-00003.safetensors", "model.layers.5.mlp.down_proj.weight": "model-00002-of-00003.safetensors", "model.layers.4.mlp.down_proj.weight": "model-00002-of-00003.safetensors", "model.layers.3.mlp.down_proj.weight": "model-00002-of-00003.safetensors", "model.layers.5.mlp.gate_proj.weight": "model-00002-of-00003.safetensors", "model.layers.4.mlp.gate_proj.weight": "model-00003-of-00003.safetensors", "model.layers.3.mlp.gate_proj.weight": "model-00003-of-00003.safetensors", "model.layers.5.mlp.up_proj.weight": "model-00003-of-00003.safetensors", "model.layers.4.mlp.up_proj.weight": "model-00003-of-00003.safetensors", "model.layers.3.mlp.up_proj.weight": "model-00003-of-00003.safetensors", "model.layers.5.post_attention_layernorm.weight": "model-00003-of-00003.safetensors", "model.layers.4.post_attention_layernorm.weight": "model-00003-of-00003.safetensors", "model.layers.3.post_attention_layernorm.weight": "model-00003-of-00003.safetensors", "model.layers.5.self_attn.k_proj.weight": "model-00003-of-00003.safetensors", "model.layers.4.self_attn.k_proj.weight": "model-00003-of-00003.safetensors", "model.layers.3.self_attn.k_proj.weight": "model-00003-of-00003.safetensors", "model.layers.5.self_attn.o_proj.weight": "model-00003-of-00003.safetensors", "model.layers.4.self_attn.o_proj.weight": "model-00003-of-00003.safetensors", "model.layers.3.self_attn.o_proj.weight": "model-00003-of-00003.safetensors", "model.layers.5.self_attn.q_proj.weight": "model-00003-of-00003.safetensors", "model.layers.4.self_attn.q_proj.weight": "model-00003-of-00003.safetensors", "model.layers.3.self_attn.q_proj.weight": "model-00003-of-00003.safetensors", "model.layers.5.self_attn.v_proj.weight": "model-00003-of-00003.safetensors", "model.layers.4.self_attn.v_proj.weight": "model-00003-of-00003.safetensors", "model.layers.3.self_attn.v_proj.weight": "model-00003-of-00003.safetensors", "model.layers.6.input_layernorm.weight": "model-00003-of-00003.safetensors", "model.layers.6.mlp.down_proj.weight": "model-00003-of-00003.safetensors", "model.layers.6.mlp.gate_proj.weight": "model-00003-of-00003.safetensors", "model.layers.6.mlp.up_proj.weight": "model-00003-of-00003.safetensors", "model.layers.6.post_attention_layernorm.weight": "model-00003-of-00003.safetensors", "model.layers.6.self_attn.k_proj.weight": "model-00003-of-00003.safetensors", "model.layers.6.self_attn.o_proj.weight": "model-00003-of-00003.safetensors", "model.layers.6.self_attn.q_proj.weight": "model-00003-of-00003.safetensors", "model.layers.6.self_attn.v_proj.weight": "model-00003-of-00003.safetensors", "model.layers.7.input_layernorm.weight": "model-00003-of-00003.safetensors", "model.layers.7.mlp.down_proj.weight": "model-00003-of-00003.safetensors", "model.layers.7.mlp.gate_proj.weight": "model-00003-of-00003.safetensors", "model.layers.7.mlp.up_proj.weight": "model-00003-of-00003.safetensors", "model.layers.7.post_attention_layernorm.weight": "model-00003-of-00003.safetensors", "model.layers.7.self_attn.k_proj.weight": "model-00003-of-00003.safetensors", "model.layers.7.self_attn.o_proj.weight": "model-00003-of-00003.safetensors", "model.layers.7.self_attn.q_proj.weight": "model-00003-of-00003.safetensors", "model.layers.7.self_attn.v_proj.weight": "model-00003-of-00003.safetensors", "model.norm.weight": "model-00003-of-00003.safetensors"}}
|
special_tokens_map.json
ADDED
@@ -0,0 +1,37 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"additional_special_tokens": [
|
3 |
+
"<|CLS|>",
|
4 |
+
"<|SEP|>",
|
5 |
+
"<|EOD|>",
|
6 |
+
"<|MASK|>",
|
7 |
+
"<|PAD|>"
|
8 |
+
],
|
9 |
+
"bos_token": {
|
10 |
+
"content": "<s>",
|
11 |
+
"lstrip": false,
|
12 |
+
"normalized": true,
|
13 |
+
"rstrip": false,
|
14 |
+
"single_word": false
|
15 |
+
},
|
16 |
+
"eos_token": {
|
17 |
+
"content": "</s>",
|
18 |
+
"lstrip": false,
|
19 |
+
"normalized": true,
|
20 |
+
"rstrip": false,
|
21 |
+
"single_word": true
|
22 |
+
},
|
23 |
+
"pad_token": {
|
24 |
+
"content": "<unk>",
|
25 |
+
"lstrip": false,
|
26 |
+
"normalized": true,
|
27 |
+
"rstrip": false,
|
28 |
+
"single_word": true
|
29 |
+
},
|
30 |
+
"unk_token": {
|
31 |
+
"content": "<unk>",
|
32 |
+
"lstrip": false,
|
33 |
+
"normalized": true,
|
34 |
+
"rstrip": false,
|
35 |
+
"single_word": true
|
36 |
+
}
|
37 |
+
}
|
tokenizer.model
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:f6a2447b0e5664cabb2481587597102d82f42f0ccb7ef22e1c2d95494a8b03c5
|
3 |
+
size 1002561
|
tokenizer_config.json
ADDED
@@ -0,0 +1,95 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"add_bos_token": false,
|
3 |
+
"add_eos_token": false,
|
4 |
+
"added_tokens_decoder": {
|
5 |
+
"0": {
|
6 |
+
"content": "<unk>",
|
7 |
+
"lstrip": false,
|
8 |
+
"normalized": true,
|
9 |
+
"rstrip": false,
|
10 |
+
"single_word": true,
|
11 |
+
"special": true
|
12 |
+
},
|
13 |
+
"1": {
|
14 |
+
"content": "<s>",
|
15 |
+
"lstrip": false,
|
16 |
+
"normalized": true,
|
17 |
+
"rstrip": false,
|
18 |
+
"single_word": false,
|
19 |
+
"special": true
|
20 |
+
},
|
21 |
+
"2": {
|
22 |
+
"content": "</s>",
|
23 |
+
"lstrip": false,
|
24 |
+
"normalized": true,
|
25 |
+
"rstrip": false,
|
26 |
+
"single_word": true,
|
27 |
+
"special": true
|
28 |
+
},
|
29 |
+
"64000": {
|
30 |
+
"content": "<|CLS|>",
|
31 |
+
"lstrip": false,
|
32 |
+
"normalized": false,
|
33 |
+
"rstrip": false,
|
34 |
+
"single_word": false,
|
35 |
+
"special": true
|
36 |
+
},
|
37 |
+
"64001": {
|
38 |
+
"content": "<|SEP|>",
|
39 |
+
"lstrip": false,
|
40 |
+
"normalized": false,
|
41 |
+
"rstrip": false,
|
42 |
+
"single_word": false,
|
43 |
+
"special": true
|
44 |
+
},
|
45 |
+
"64002": {
|
46 |
+
"content": "<|EOD|>",
|
47 |
+
"lstrip": false,
|
48 |
+
"normalized": false,
|
49 |
+
"rstrip": false,
|
50 |
+
"single_word": false,
|
51 |
+
"special": true
|
52 |
+
},
|
53 |
+
"64003": {
|
54 |
+
"content": "<|MASK|>",
|
55 |
+
"lstrip": false,
|
56 |
+
"normalized": false,
|
57 |
+
"rstrip": false,
|
58 |
+
"single_word": false,
|
59 |
+
"special": true
|
60 |
+
},
|
61 |
+
"64004": {
|
62 |
+
"content": "<|PAD|>",
|
63 |
+
"lstrip": false,
|
64 |
+
"normalized": false,
|
65 |
+
"rstrip": false,
|
66 |
+
"single_word": false,
|
67 |
+
"special": true
|
68 |
+
}
|
69 |
+
},
|
70 |
+
"additional_special_tokens": [
|
71 |
+
"<|CLS|>",
|
72 |
+
"<|SEP|>",
|
73 |
+
"<|EOD|>",
|
74 |
+
"<|MASK|>",
|
75 |
+
"<|PAD|>"
|
76 |
+
],
|
77 |
+
"auto_map": {
|
78 |
+
"AutoTokenizer": [
|
79 |
+
"DewEfresh/neo_7b--tokenization_neo.NEOTokenizer",
|
80 |
+
null
|
81 |
+
]
|
82 |
+
},
|
83 |
+
"bos_token": "<s>",
|
84 |
+
"chat_template": "{% set system_message = 'You are a helpful, respectful and honest assistant. Always answer as helpfully as possible, while being safe. Your answers should not include any harmful, unethical, racist, sexist, toxic, dangerous, or illegal content. Please ensure that your responses are socially unbiased and positive in nature.\\n\\nIf a question does not make any sense, or is not factually coherent, explain why instead of answering something not correct. If you don\\'t know the answer to a question, please don\\'t share false information.' %}{% if messages[0]['role'] == 'system' %}{% set system_message = messages[0]['content'] %}{% endif %}{% for message in messages %}{% set content = message['content'] %}{% if loop.index0 == 0 and system_message is defined %}{% set content = '<<SYS>>\\n' + system_message + '\\n<</SYS>>\\n\\n' + message['content'] %}{% endif %}{% if message['role'] == 'user' %}{{ '<s>' + '[INST] ' + content + ' [/INST]' }}{% elif message['role'] == 'assistant' %}{{ content + '</s>' }}{% endif %}{% endfor %}",
|
85 |
+
"clean_up_tokenization_spaces": false,
|
86 |
+
"eos_token": "</s>",
|
87 |
+
"model_max_length": 4096,
|
88 |
+
"pad_token": "<unk>",
|
89 |
+
"padding_side": "right",
|
90 |
+
"sp_model_kwargs": {},
|
91 |
+
"split_special_tokens": false,
|
92 |
+
"tokenizer_class": "NEOTokenizer",
|
93 |
+
"unk_token": "<unk>",
|
94 |
+
"use_fast": false
|
95 |
+
}
|