pszemraj commited on
Commit
86d218d
·
verified ·
1 Parent(s): 1c188c7

Upload model

Browse files
README.md ADDED
@@ -0,0 +1,199 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: transformers
3
+ tags: []
4
+ ---
5
+
6
+ # Model Card for Model ID
7
+
8
+ <!-- Provide a quick summary of what the model is/does. -->
9
+
10
+
11
+
12
+ ## Model Details
13
+
14
+ ### Model Description
15
+
16
+ <!-- Provide a longer summary of what this model is. -->
17
+
18
+ This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
19
+
20
+ - **Developed by:** [More Information Needed]
21
+ - **Funded by [optional]:** [More Information Needed]
22
+ - **Shared by [optional]:** [More Information Needed]
23
+ - **Model type:** [More Information Needed]
24
+ - **Language(s) (NLP):** [More Information Needed]
25
+ - **License:** [More Information Needed]
26
+ - **Finetuned from model [optional]:** [More Information Needed]
27
+
28
+ ### Model Sources [optional]
29
+
30
+ <!-- Provide the basic links for the model. -->
31
+
32
+ - **Repository:** [More Information Needed]
33
+ - **Paper [optional]:** [More Information Needed]
34
+ - **Demo [optional]:** [More Information Needed]
35
+
36
+ ## Uses
37
+
38
+ <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
39
+
40
+ ### Direct Use
41
+
42
+ <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
43
+
44
+ [More Information Needed]
45
+
46
+ ### Downstream Use [optional]
47
+
48
+ <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
49
+
50
+ [More Information Needed]
51
+
52
+ ### Out-of-Scope Use
53
+
54
+ <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
55
+
56
+ [More Information Needed]
57
+
58
+ ## Bias, Risks, and Limitations
59
+
60
+ <!-- This section is meant to convey both technical and sociotechnical limitations. -->
61
+
62
+ [More Information Needed]
63
+
64
+ ### Recommendations
65
+
66
+ <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
67
+
68
+ Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
69
+
70
+ ## How to Get Started with the Model
71
+
72
+ Use the code below to get started with the model.
73
+
74
+ [More Information Needed]
75
+
76
+ ## Training Details
77
+
78
+ ### Training Data
79
+
80
+ <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
81
+
82
+ [More Information Needed]
83
+
84
+ ### Training Procedure
85
+
86
+ <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
87
+
88
+ #### Preprocessing [optional]
89
+
90
+ [More Information Needed]
91
+
92
+
93
+ #### Training Hyperparameters
94
+
95
+ - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
96
+
97
+ #### Speeds, Sizes, Times [optional]
98
+
99
+ <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
100
+
101
+ [More Information Needed]
102
+
103
+ ## Evaluation
104
+
105
+ <!-- This section describes the evaluation protocols and provides the results. -->
106
+
107
+ ### Testing Data, Factors & Metrics
108
+
109
+ #### Testing Data
110
+
111
+ <!-- This should link to a Dataset Card if possible. -->
112
+
113
+ [More Information Needed]
114
+
115
+ #### Factors
116
+
117
+ <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
118
+
119
+ [More Information Needed]
120
+
121
+ #### Metrics
122
+
123
+ <!-- These are the evaluation metrics being used, ideally with a description of why. -->
124
+
125
+ [More Information Needed]
126
+
127
+ ### Results
128
+
129
+ [More Information Needed]
130
+
131
+ #### Summary
132
+
133
+
134
+
135
+ ## Model Examination [optional]
136
+
137
+ <!-- Relevant interpretability work for the model goes here -->
138
+
139
+ [More Information Needed]
140
+
141
+ ## Environmental Impact
142
+
143
+ <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
144
+
145
+ Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
146
+
147
+ - **Hardware Type:** [More Information Needed]
148
+ - **Hours used:** [More Information Needed]
149
+ - **Cloud Provider:** [More Information Needed]
150
+ - **Compute Region:** [More Information Needed]
151
+ - **Carbon Emitted:** [More Information Needed]
152
+
153
+ ## Technical Specifications [optional]
154
+
155
+ ### Model Architecture and Objective
156
+
157
+ [More Information Needed]
158
+
159
+ ### Compute Infrastructure
160
+
161
+ [More Information Needed]
162
+
163
+ #### Hardware
164
+
165
+ [More Information Needed]
166
+
167
+ #### Software
168
+
169
+ [More Information Needed]
170
+
171
+ ## Citation [optional]
172
+
173
+ <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
174
+
175
+ **BibTeX:**
176
+
177
+ [More Information Needed]
178
+
179
+ **APA:**
180
+
181
+ [More Information Needed]
182
+
183
+ ## Glossary [optional]
184
+
185
+ <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
186
+
187
+ [More Information Needed]
188
+
189
+ ## More Information [optional]
190
+
191
+ [More Information Needed]
192
+
193
+ ## Model Card Authors [optional]
194
+
195
+ [More Information Needed]
196
+
197
+ ## Model Card Contact
198
+
199
+ [More Information Needed]
config.json ADDED
@@ -0,0 +1,195 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "architectures": [
3
+ "EncoderDecoderModel"
4
+ ],
5
+ "bos_token_id": 50279,
6
+ "decoder": {
7
+ "_attn_implementation_autoset": true,
8
+ "_name_or_path": "allenai/OLMo-1B-hf",
9
+ "add_cross_attention": true,
10
+ "architectures": [
11
+ "OlmoForCausalLM"
12
+ ],
13
+ "attention_bias": false,
14
+ "attention_dropout": 0.0,
15
+ "bad_words_ids": null,
16
+ "begin_suppress_tokens": null,
17
+ "bos_token_id": 50279,
18
+ "chunk_size_feed_forward": 0,
19
+ "clip_qkv": null,
20
+ "cross_attention_hidden_size": null,
21
+ "decoder_start_token_id": 50279,
22
+ "diversity_penalty": 0.0,
23
+ "do_sample": false,
24
+ "early_stopping": false,
25
+ "encoder_no_repeat_ngram_size": 0,
26
+ "eos_token_id": 50279,
27
+ "exponential_decay_length_penalty": null,
28
+ "finetuning_task": null,
29
+ "forced_bos_token_id": null,
30
+ "forced_eos_token_id": null,
31
+ "hidden_act": "silu",
32
+ "hidden_size": 2048,
33
+ "id2label": {
34
+ "0": "LABEL_0",
35
+ "1": "LABEL_1"
36
+ },
37
+ "initializer_range": 0.02,
38
+ "intermediate_size": 8192,
39
+ "is_decoder": true,
40
+ "is_encoder_decoder": false,
41
+ "label2id": {
42
+ "LABEL_0": 0,
43
+ "LABEL_1": 1
44
+ },
45
+ "length_penalty": 1.0,
46
+ "max_length": 20,
47
+ "max_position_embeddings": 2048,
48
+ "min_length": 0,
49
+ "model_type": "olmo",
50
+ "no_repeat_ngram_size": 0,
51
+ "num_attention_heads": 16,
52
+ "num_beam_groups": 1,
53
+ "num_beams": 1,
54
+ "num_hidden_layers": 16,
55
+ "num_key_value_heads": 16,
56
+ "num_return_sequences": 1,
57
+ "output_attentions": false,
58
+ "output_hidden_states": false,
59
+ "output_scores": false,
60
+ "pad_token_id": 1,
61
+ "prefix": null,
62
+ "pretraining_tp": 1,
63
+ "problem_type": null,
64
+ "pruned_heads": {},
65
+ "remove_invalid_values": false,
66
+ "repetition_penalty": 1.0,
67
+ "return_dict": true,
68
+ "return_dict_in_generate": false,
69
+ "rope_scaling": null,
70
+ "rope_theta": 10000.0,
71
+ "sep_token_id": null,
72
+ "suppress_tokens": null,
73
+ "task_specific_params": null,
74
+ "temperature": 1.0,
75
+ "tf_legacy_loss": false,
76
+ "tie_encoder_decoder": false,
77
+ "tie_word_embeddings": true,
78
+ "tokenizer_class": null,
79
+ "top_k": 50,
80
+ "top_p": 1.0,
81
+ "torch_dtype": "float32",
82
+ "torchscript": false,
83
+ "typical_p": 1.0,
84
+ "use_bfloat16": false,
85
+ "use_cache": true,
86
+ "vocab_size": 50304
87
+ },
88
+ "decoder_start_token_id": 50279,
89
+ "encoder": {
90
+ "_attn_implementation_autoset": true,
91
+ "_name_or_path": "answerdotai/ModernBERT-large",
92
+ "add_cross_attention": false,
93
+ "architectures": [
94
+ "ModernBertForMaskedLM"
95
+ ],
96
+ "attention_bias": false,
97
+ "attention_dropout": 0.0,
98
+ "bad_words_ids": null,
99
+ "begin_suppress_tokens": null,
100
+ "bos_token_id": 50281,
101
+ "chunk_size_feed_forward": 0,
102
+ "classifier_activation": "gelu",
103
+ "classifier_bias": false,
104
+ "classifier_dropout": 0.0,
105
+ "classifier_pooling": "mean",
106
+ "cls_token_id": 50281,
107
+ "cross_attention_hidden_size": null,
108
+ "decoder_bias": true,
109
+ "decoder_start_token_id": null,
110
+ "deterministic_flash_attn": false,
111
+ "diversity_penalty": 0.0,
112
+ "do_sample": false,
113
+ "early_stopping": false,
114
+ "embedding_dropout": 0.0,
115
+ "encoder_no_repeat_ngram_size": 0,
116
+ "eos_token_id": 50282,
117
+ "exponential_decay_length_penalty": null,
118
+ "finetuning_task": null,
119
+ "forced_bos_token_id": null,
120
+ "forced_eos_token_id": null,
121
+ "global_attn_every_n_layers": 3,
122
+ "global_rope_theta": 160000.0,
123
+ "gradient_checkpointing": false,
124
+ "hidden_activation": "gelu",
125
+ "hidden_size": 1024,
126
+ "id2label": {
127
+ "0": "LABEL_0",
128
+ "1": "LABEL_1"
129
+ },
130
+ "initializer_cutoff_factor": 2.0,
131
+ "initializer_range": 0.02,
132
+ "intermediate_size": 2624,
133
+ "is_decoder": false,
134
+ "is_encoder_decoder": false,
135
+ "label2id": {
136
+ "LABEL_0": 0,
137
+ "LABEL_1": 1
138
+ },
139
+ "layer_norm_eps": 1e-05,
140
+ "length_penalty": 1.0,
141
+ "local_attention": 128,
142
+ "local_rope_theta": 10000.0,
143
+ "max_length": 20,
144
+ "max_position_embeddings": 8192,
145
+ "min_length": 0,
146
+ "mlp_bias": false,
147
+ "mlp_dropout": 0.0,
148
+ "model_type": "modernbert",
149
+ "no_repeat_ngram_size": 0,
150
+ "norm_bias": false,
151
+ "norm_eps": 1e-05,
152
+ "num_attention_heads": 16,
153
+ "num_beam_groups": 1,
154
+ "num_beams": 1,
155
+ "num_hidden_layers": 28,
156
+ "num_return_sequences": 1,
157
+ "output_attentions": false,
158
+ "output_hidden_states": false,
159
+ "output_scores": false,
160
+ "pad_token_id": 50283,
161
+ "position_embedding_type": "absolute",
162
+ "prefix": null,
163
+ "problem_type": null,
164
+ "pruned_heads": {},
165
+ "reference_compile": false,
166
+ "remove_invalid_values": false,
167
+ "repad_logits_with_grad": false,
168
+ "repetition_penalty": 1.0,
169
+ "return_dict": true,
170
+ "return_dict_in_generate": false,
171
+ "sep_token_id": 50282,
172
+ "sparse_pred_ignore_index": -100,
173
+ "sparse_prediction": false,
174
+ "suppress_tokens": null,
175
+ "task_specific_params": null,
176
+ "temperature": 1.0,
177
+ "tf_legacy_loss": false,
178
+ "tie_encoder_decoder": false,
179
+ "tie_word_embeddings": true,
180
+ "tokenizer_class": null,
181
+ "top_k": 50,
182
+ "top_p": 1.0,
183
+ "torch_dtype": "float32",
184
+ "torchscript": false,
185
+ "typical_p": 1.0,
186
+ "use_bfloat16": false,
187
+ "vocab_size": 50368
188
+ },
189
+ "eos_token_id": 50279,
190
+ "is_encoder_decoder": true,
191
+ "model_type": "encoder-decoder",
192
+ "pad_token_id": 1,
193
+ "torch_dtype": "float32",
194
+ "transformers_version": "4.49.0.dev0"
195
+ }
generation_config.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_from_model_config": true,
3
+ "bos_token_id": 50279,
4
+ "decoder_start_token_id": 50279,
5
+ "eos_token_id": 50279,
6
+ "pad_token_id": 1,
7
+ "transformers_version": "4.49.0.dev0"
8
+ }
model-00001-of-00002.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f09f92efe40177c6d1cbb473bdaafc99f31974c5d214dc1f883bd9eb90f297d2
3
+ size 4944112864
model-00002-of-00002.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c6ef1ebfc8319bb7b0a269ae8378b73111eaa2c963115923de3e3c319d4be893
3
+ size 2424384120
model.safetensors.index.json ADDED
@@ -0,0 +1,372 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "metadata": {
3
+ "total_size": 7368454144
4
+ },
5
+ "weight_map": {
6
+ "decoder.model.embed_tokens.weight": "model-00001-of-00002.safetensors",
7
+ "decoder.model.layers.0.cross_attention.k_proj.weight": "model-00001-of-00002.safetensors",
8
+ "decoder.model.layers.0.cross_attention.o_proj.weight": "model-00001-of-00002.safetensors",
9
+ "decoder.model.layers.0.cross_attention.q_proj.weight": "model-00001-of-00002.safetensors",
10
+ "decoder.model.layers.0.cross_attention.v_proj.weight": "model-00001-of-00002.safetensors",
11
+ "decoder.model.layers.0.cross_attention_layernorm.weight": "model-00001-of-00002.safetensors",
12
+ "decoder.model.layers.0.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
13
+ "decoder.model.layers.0.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
14
+ "decoder.model.layers.0.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
15
+ "decoder.model.layers.0.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
16
+ "decoder.model.layers.0.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
17
+ "decoder.model.layers.0.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
18
+ "decoder.model.layers.0.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
19
+ "decoder.model.layers.1.cross_attention.k_proj.weight": "model-00001-of-00002.safetensors",
20
+ "decoder.model.layers.1.cross_attention.o_proj.weight": "model-00001-of-00002.safetensors",
21
+ "decoder.model.layers.1.cross_attention.q_proj.weight": "model-00001-of-00002.safetensors",
22
+ "decoder.model.layers.1.cross_attention.v_proj.weight": "model-00001-of-00002.safetensors",
23
+ "decoder.model.layers.1.cross_attention_layernorm.weight": "model-00001-of-00002.safetensors",
24
+ "decoder.model.layers.1.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
25
+ "decoder.model.layers.1.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
26
+ "decoder.model.layers.1.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
27
+ "decoder.model.layers.1.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
28
+ "decoder.model.layers.1.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
29
+ "decoder.model.layers.1.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
30
+ "decoder.model.layers.1.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
31
+ "decoder.model.layers.10.cross_attention.k_proj.weight": "model-00002-of-00002.safetensors",
32
+ "decoder.model.layers.10.cross_attention.o_proj.weight": "model-00002-of-00002.safetensors",
33
+ "decoder.model.layers.10.cross_attention.q_proj.weight": "model-00002-of-00002.safetensors",
34
+ "decoder.model.layers.10.cross_attention.v_proj.weight": "model-00002-of-00002.safetensors",
35
+ "decoder.model.layers.10.cross_attention_layernorm.weight": "model-00002-of-00002.safetensors",
36
+ "decoder.model.layers.10.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
37
+ "decoder.model.layers.10.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
38
+ "decoder.model.layers.10.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
39
+ "decoder.model.layers.10.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
40
+ "decoder.model.layers.10.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
41
+ "decoder.model.layers.10.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
42
+ "decoder.model.layers.10.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
43
+ "decoder.model.layers.11.cross_attention.k_proj.weight": "model-00002-of-00002.safetensors",
44
+ "decoder.model.layers.11.cross_attention.o_proj.weight": "model-00002-of-00002.safetensors",
45
+ "decoder.model.layers.11.cross_attention.q_proj.weight": "model-00002-of-00002.safetensors",
46
+ "decoder.model.layers.11.cross_attention.v_proj.weight": "model-00002-of-00002.safetensors",
47
+ "decoder.model.layers.11.cross_attention_layernorm.weight": "model-00002-of-00002.safetensors",
48
+ "decoder.model.layers.11.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
49
+ "decoder.model.layers.11.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
50
+ "decoder.model.layers.11.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
51
+ "decoder.model.layers.11.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
52
+ "decoder.model.layers.11.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
53
+ "decoder.model.layers.11.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
54
+ "decoder.model.layers.11.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
55
+ "decoder.model.layers.12.cross_attention.k_proj.weight": "model-00002-of-00002.safetensors",
56
+ "decoder.model.layers.12.cross_attention.o_proj.weight": "model-00002-of-00002.safetensors",
57
+ "decoder.model.layers.12.cross_attention.q_proj.weight": "model-00002-of-00002.safetensors",
58
+ "decoder.model.layers.12.cross_attention.v_proj.weight": "model-00002-of-00002.safetensors",
59
+ "decoder.model.layers.12.cross_attention_layernorm.weight": "model-00002-of-00002.safetensors",
60
+ "decoder.model.layers.12.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
61
+ "decoder.model.layers.12.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
62
+ "decoder.model.layers.12.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
63
+ "decoder.model.layers.12.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
64
+ "decoder.model.layers.12.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
65
+ "decoder.model.layers.12.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
66
+ "decoder.model.layers.12.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
67
+ "decoder.model.layers.13.cross_attention.k_proj.weight": "model-00002-of-00002.safetensors",
68
+ "decoder.model.layers.13.cross_attention.o_proj.weight": "model-00002-of-00002.safetensors",
69
+ "decoder.model.layers.13.cross_attention.q_proj.weight": "model-00002-of-00002.safetensors",
70
+ "decoder.model.layers.13.cross_attention.v_proj.weight": "model-00002-of-00002.safetensors",
71
+ "decoder.model.layers.13.cross_attention_layernorm.weight": "model-00002-of-00002.safetensors",
72
+ "decoder.model.layers.13.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
73
+ "decoder.model.layers.13.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
74
+ "decoder.model.layers.13.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
75
+ "decoder.model.layers.13.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
76
+ "decoder.model.layers.13.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
77
+ "decoder.model.layers.13.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
78
+ "decoder.model.layers.13.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
79
+ "decoder.model.layers.14.cross_attention.k_proj.weight": "model-00002-of-00002.safetensors",
80
+ "decoder.model.layers.14.cross_attention.o_proj.weight": "model-00002-of-00002.safetensors",
81
+ "decoder.model.layers.14.cross_attention.q_proj.weight": "model-00002-of-00002.safetensors",
82
+ "decoder.model.layers.14.cross_attention.v_proj.weight": "model-00002-of-00002.safetensors",
83
+ "decoder.model.layers.14.cross_attention_layernorm.weight": "model-00002-of-00002.safetensors",
84
+ "decoder.model.layers.14.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
85
+ "decoder.model.layers.14.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
86
+ "decoder.model.layers.14.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
87
+ "decoder.model.layers.14.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
88
+ "decoder.model.layers.14.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
89
+ "decoder.model.layers.14.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
90
+ "decoder.model.layers.14.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
91
+ "decoder.model.layers.15.cross_attention.k_proj.weight": "model-00002-of-00002.safetensors",
92
+ "decoder.model.layers.15.cross_attention.o_proj.weight": "model-00002-of-00002.safetensors",
93
+ "decoder.model.layers.15.cross_attention.q_proj.weight": "model-00002-of-00002.safetensors",
94
+ "decoder.model.layers.15.cross_attention.v_proj.weight": "model-00002-of-00002.safetensors",
95
+ "decoder.model.layers.15.cross_attention_layernorm.weight": "model-00002-of-00002.safetensors",
96
+ "decoder.model.layers.15.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
97
+ "decoder.model.layers.15.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
98
+ "decoder.model.layers.15.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
99
+ "decoder.model.layers.15.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
100
+ "decoder.model.layers.15.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
101
+ "decoder.model.layers.15.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
102
+ "decoder.model.layers.15.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
103
+ "decoder.model.layers.2.cross_attention.k_proj.weight": "model-00001-of-00002.safetensors",
104
+ "decoder.model.layers.2.cross_attention.o_proj.weight": "model-00001-of-00002.safetensors",
105
+ "decoder.model.layers.2.cross_attention.q_proj.weight": "model-00001-of-00002.safetensors",
106
+ "decoder.model.layers.2.cross_attention.v_proj.weight": "model-00001-of-00002.safetensors",
107
+ "decoder.model.layers.2.cross_attention_layernorm.weight": "model-00001-of-00002.safetensors",
108
+ "decoder.model.layers.2.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
109
+ "decoder.model.layers.2.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
110
+ "decoder.model.layers.2.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
111
+ "decoder.model.layers.2.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
112
+ "decoder.model.layers.2.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
113
+ "decoder.model.layers.2.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
114
+ "decoder.model.layers.2.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
115
+ "decoder.model.layers.3.cross_attention.k_proj.weight": "model-00001-of-00002.safetensors",
116
+ "decoder.model.layers.3.cross_attention.o_proj.weight": "model-00001-of-00002.safetensors",
117
+ "decoder.model.layers.3.cross_attention.q_proj.weight": "model-00001-of-00002.safetensors",
118
+ "decoder.model.layers.3.cross_attention.v_proj.weight": "model-00001-of-00002.safetensors",
119
+ "decoder.model.layers.3.cross_attention_layernorm.weight": "model-00001-of-00002.safetensors",
120
+ "decoder.model.layers.3.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
121
+ "decoder.model.layers.3.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
122
+ "decoder.model.layers.3.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
123
+ "decoder.model.layers.3.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
124
+ "decoder.model.layers.3.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
125
+ "decoder.model.layers.3.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
126
+ "decoder.model.layers.3.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
127
+ "decoder.model.layers.4.cross_attention.k_proj.weight": "model-00001-of-00002.safetensors",
128
+ "decoder.model.layers.4.cross_attention.o_proj.weight": "model-00001-of-00002.safetensors",
129
+ "decoder.model.layers.4.cross_attention.q_proj.weight": "model-00001-of-00002.safetensors",
130
+ "decoder.model.layers.4.cross_attention.v_proj.weight": "model-00001-of-00002.safetensors",
131
+ "decoder.model.layers.4.cross_attention_layernorm.weight": "model-00001-of-00002.safetensors",
132
+ "decoder.model.layers.4.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
133
+ "decoder.model.layers.4.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
134
+ "decoder.model.layers.4.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
135
+ "decoder.model.layers.4.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
136
+ "decoder.model.layers.4.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
137
+ "decoder.model.layers.4.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
138
+ "decoder.model.layers.4.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
139
+ "decoder.model.layers.5.cross_attention.k_proj.weight": "model-00001-of-00002.safetensors",
140
+ "decoder.model.layers.5.cross_attention.o_proj.weight": "model-00001-of-00002.safetensors",
141
+ "decoder.model.layers.5.cross_attention.q_proj.weight": "model-00001-of-00002.safetensors",
142
+ "decoder.model.layers.5.cross_attention.v_proj.weight": "model-00001-of-00002.safetensors",
143
+ "decoder.model.layers.5.cross_attention_layernorm.weight": "model-00001-of-00002.safetensors",
144
+ "decoder.model.layers.5.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
145
+ "decoder.model.layers.5.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
146
+ "decoder.model.layers.5.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
147
+ "decoder.model.layers.5.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
148
+ "decoder.model.layers.5.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
149
+ "decoder.model.layers.5.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
150
+ "decoder.model.layers.5.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
151
+ "decoder.model.layers.6.cross_attention.k_proj.weight": "model-00001-of-00002.safetensors",
152
+ "decoder.model.layers.6.cross_attention.o_proj.weight": "model-00001-of-00002.safetensors",
153
+ "decoder.model.layers.6.cross_attention.q_proj.weight": "model-00001-of-00002.safetensors",
154
+ "decoder.model.layers.6.cross_attention.v_proj.weight": "model-00001-of-00002.safetensors",
155
+ "decoder.model.layers.6.cross_attention_layernorm.weight": "model-00001-of-00002.safetensors",
156
+ "decoder.model.layers.6.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
157
+ "decoder.model.layers.6.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
158
+ "decoder.model.layers.6.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
159
+ "decoder.model.layers.6.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
160
+ "decoder.model.layers.6.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
161
+ "decoder.model.layers.6.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
162
+ "decoder.model.layers.6.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
163
+ "decoder.model.layers.7.cross_attention.k_proj.weight": "model-00001-of-00002.safetensors",
164
+ "decoder.model.layers.7.cross_attention.o_proj.weight": "model-00001-of-00002.safetensors",
165
+ "decoder.model.layers.7.cross_attention.q_proj.weight": "model-00001-of-00002.safetensors",
166
+ "decoder.model.layers.7.cross_attention.v_proj.weight": "model-00001-of-00002.safetensors",
167
+ "decoder.model.layers.7.cross_attention_layernorm.weight": "model-00001-of-00002.safetensors",
168
+ "decoder.model.layers.7.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
169
+ "decoder.model.layers.7.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
170
+ "decoder.model.layers.7.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
171
+ "decoder.model.layers.7.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
172
+ "decoder.model.layers.7.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
173
+ "decoder.model.layers.7.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
174
+ "decoder.model.layers.7.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
175
+ "decoder.model.layers.8.cross_attention.k_proj.weight": "model-00001-of-00002.safetensors",
176
+ "decoder.model.layers.8.cross_attention.o_proj.weight": "model-00001-of-00002.safetensors",
177
+ "decoder.model.layers.8.cross_attention.q_proj.weight": "model-00001-of-00002.safetensors",
178
+ "decoder.model.layers.8.cross_attention.v_proj.weight": "model-00001-of-00002.safetensors",
179
+ "decoder.model.layers.8.cross_attention_layernorm.weight": "model-00001-of-00002.safetensors",
180
+ "decoder.model.layers.8.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
181
+ "decoder.model.layers.8.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
182
+ "decoder.model.layers.8.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
183
+ "decoder.model.layers.8.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
184
+ "decoder.model.layers.8.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
185
+ "decoder.model.layers.8.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
186
+ "decoder.model.layers.8.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
187
+ "decoder.model.layers.9.cross_attention.k_proj.weight": "model-00002-of-00002.safetensors",
188
+ "decoder.model.layers.9.cross_attention.o_proj.weight": "model-00002-of-00002.safetensors",
189
+ "decoder.model.layers.9.cross_attention.q_proj.weight": "model-00002-of-00002.safetensors",
190
+ "decoder.model.layers.9.cross_attention.v_proj.weight": "model-00002-of-00002.safetensors",
191
+ "decoder.model.layers.9.cross_attention_layernorm.weight": "model-00002-of-00002.safetensors",
192
+ "decoder.model.layers.9.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
193
+ "decoder.model.layers.9.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
194
+ "decoder.model.layers.9.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
195
+ "decoder.model.layers.9.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
196
+ "decoder.model.layers.9.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
197
+ "decoder.model.layers.9.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
198
+ "decoder.model.layers.9.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
199
+ "enc_to_dec_proj.bias": "model-00002-of-00002.safetensors",
200
+ "enc_to_dec_proj.weight": "model-00002-of-00002.safetensors",
201
+ "encoder.embeddings.norm.weight": "model-00001-of-00002.safetensors",
202
+ "encoder.embeddings.tok_embeddings.weight": "model-00001-of-00002.safetensors",
203
+ "encoder.final_norm.weight": "model-00001-of-00002.safetensors",
204
+ "encoder.layers.0.attn.Wo.weight": "model-00001-of-00002.safetensors",
205
+ "encoder.layers.0.attn.Wqkv.weight": "model-00001-of-00002.safetensors",
206
+ "encoder.layers.0.mlp.Wi.weight": "model-00001-of-00002.safetensors",
207
+ "encoder.layers.0.mlp.Wo.weight": "model-00001-of-00002.safetensors",
208
+ "encoder.layers.0.mlp_norm.weight": "model-00001-of-00002.safetensors",
209
+ "encoder.layers.1.attn.Wo.weight": "model-00001-of-00002.safetensors",
210
+ "encoder.layers.1.attn.Wqkv.weight": "model-00001-of-00002.safetensors",
211
+ "encoder.layers.1.attn_norm.weight": "model-00001-of-00002.safetensors",
212
+ "encoder.layers.1.mlp.Wi.weight": "model-00001-of-00002.safetensors",
213
+ "encoder.layers.1.mlp.Wo.weight": "model-00001-of-00002.safetensors",
214
+ "encoder.layers.1.mlp_norm.weight": "model-00001-of-00002.safetensors",
215
+ "encoder.layers.10.attn.Wo.weight": "model-00001-of-00002.safetensors",
216
+ "encoder.layers.10.attn.Wqkv.weight": "model-00001-of-00002.safetensors",
217
+ "encoder.layers.10.attn_norm.weight": "model-00001-of-00002.safetensors",
218
+ "encoder.layers.10.mlp.Wi.weight": "model-00001-of-00002.safetensors",
219
+ "encoder.layers.10.mlp.Wo.weight": "model-00001-of-00002.safetensors",
220
+ "encoder.layers.10.mlp_norm.weight": "model-00001-of-00002.safetensors",
221
+ "encoder.layers.11.attn.Wo.weight": "model-00001-of-00002.safetensors",
222
+ "encoder.layers.11.attn.Wqkv.weight": "model-00001-of-00002.safetensors",
223
+ "encoder.layers.11.attn_norm.weight": "model-00001-of-00002.safetensors",
224
+ "encoder.layers.11.mlp.Wi.weight": "model-00001-of-00002.safetensors",
225
+ "encoder.layers.11.mlp.Wo.weight": "model-00001-of-00002.safetensors",
226
+ "encoder.layers.11.mlp_norm.weight": "model-00001-of-00002.safetensors",
227
+ "encoder.layers.12.attn.Wo.weight": "model-00001-of-00002.safetensors",
228
+ "encoder.layers.12.attn.Wqkv.weight": "model-00001-of-00002.safetensors",
229
+ "encoder.layers.12.attn_norm.weight": "model-00001-of-00002.safetensors",
230
+ "encoder.layers.12.mlp.Wi.weight": "model-00001-of-00002.safetensors",
231
+ "encoder.layers.12.mlp.Wo.weight": "model-00001-of-00002.safetensors",
232
+ "encoder.layers.12.mlp_norm.weight": "model-00001-of-00002.safetensors",
233
+ "encoder.layers.13.attn.Wo.weight": "model-00001-of-00002.safetensors",
234
+ "encoder.layers.13.attn.Wqkv.weight": "model-00001-of-00002.safetensors",
235
+ "encoder.layers.13.attn_norm.weight": "model-00001-of-00002.safetensors",
236
+ "encoder.layers.13.mlp.Wi.weight": "model-00001-of-00002.safetensors",
237
+ "encoder.layers.13.mlp.Wo.weight": "model-00001-of-00002.safetensors",
238
+ "encoder.layers.13.mlp_norm.weight": "model-00001-of-00002.safetensors",
239
+ "encoder.layers.14.attn.Wo.weight": "model-00001-of-00002.safetensors",
240
+ "encoder.layers.14.attn.Wqkv.weight": "model-00001-of-00002.safetensors",
241
+ "encoder.layers.14.attn_norm.weight": "model-00001-of-00002.safetensors",
242
+ "encoder.layers.14.mlp.Wi.weight": "model-00001-of-00002.safetensors",
243
+ "encoder.layers.14.mlp.Wo.weight": "model-00001-of-00002.safetensors",
244
+ "encoder.layers.14.mlp_norm.weight": "model-00001-of-00002.safetensors",
245
+ "encoder.layers.15.attn.Wo.weight": "model-00001-of-00002.safetensors",
246
+ "encoder.layers.15.attn.Wqkv.weight": "model-00001-of-00002.safetensors",
247
+ "encoder.layers.15.attn_norm.weight": "model-00001-of-00002.safetensors",
248
+ "encoder.layers.15.mlp.Wi.weight": "model-00001-of-00002.safetensors",
249
+ "encoder.layers.15.mlp.Wo.weight": "model-00001-of-00002.safetensors",
250
+ "encoder.layers.15.mlp_norm.weight": "model-00001-of-00002.safetensors",
251
+ "encoder.layers.16.attn.Wo.weight": "model-00001-of-00002.safetensors",
252
+ "encoder.layers.16.attn.Wqkv.weight": "model-00001-of-00002.safetensors",
253
+ "encoder.layers.16.attn_norm.weight": "model-00001-of-00002.safetensors",
254
+ "encoder.layers.16.mlp.Wi.weight": "model-00001-of-00002.safetensors",
255
+ "encoder.layers.16.mlp.Wo.weight": "model-00001-of-00002.safetensors",
256
+ "encoder.layers.16.mlp_norm.weight": "model-00001-of-00002.safetensors",
257
+ "encoder.layers.17.attn.Wo.weight": "model-00001-of-00002.safetensors",
258
+ "encoder.layers.17.attn.Wqkv.weight": "model-00001-of-00002.safetensors",
259
+ "encoder.layers.17.attn_norm.weight": "model-00001-of-00002.safetensors",
260
+ "encoder.layers.17.mlp.Wi.weight": "model-00001-of-00002.safetensors",
261
+ "encoder.layers.17.mlp.Wo.weight": "model-00001-of-00002.safetensors",
262
+ "encoder.layers.17.mlp_norm.weight": "model-00001-of-00002.safetensors",
263
+ "encoder.layers.18.attn.Wo.weight": "model-00001-of-00002.safetensors",
264
+ "encoder.layers.18.attn.Wqkv.weight": "model-00001-of-00002.safetensors",
265
+ "encoder.layers.18.attn_norm.weight": "model-00001-of-00002.safetensors",
266
+ "encoder.layers.18.mlp.Wi.weight": "model-00001-of-00002.safetensors",
267
+ "encoder.layers.18.mlp.Wo.weight": "model-00001-of-00002.safetensors",
268
+ "encoder.layers.18.mlp_norm.weight": "model-00001-of-00002.safetensors",
269
+ "encoder.layers.19.attn.Wo.weight": "model-00001-of-00002.safetensors",
270
+ "encoder.layers.19.attn.Wqkv.weight": "model-00001-of-00002.safetensors",
271
+ "encoder.layers.19.attn_norm.weight": "model-00001-of-00002.safetensors",
272
+ "encoder.layers.19.mlp.Wi.weight": "model-00001-of-00002.safetensors",
273
+ "encoder.layers.19.mlp.Wo.weight": "model-00001-of-00002.safetensors",
274
+ "encoder.layers.19.mlp_norm.weight": "model-00001-of-00002.safetensors",
275
+ "encoder.layers.2.attn.Wo.weight": "model-00001-of-00002.safetensors",
276
+ "encoder.layers.2.attn.Wqkv.weight": "model-00001-of-00002.safetensors",
277
+ "encoder.layers.2.attn_norm.weight": "model-00001-of-00002.safetensors",
278
+ "encoder.layers.2.mlp.Wi.weight": "model-00001-of-00002.safetensors",
279
+ "encoder.layers.2.mlp.Wo.weight": "model-00001-of-00002.safetensors",
280
+ "encoder.layers.2.mlp_norm.weight": "model-00001-of-00002.safetensors",
281
+ "encoder.layers.20.attn.Wo.weight": "model-00001-of-00002.safetensors",
282
+ "encoder.layers.20.attn.Wqkv.weight": "model-00001-of-00002.safetensors",
283
+ "encoder.layers.20.attn_norm.weight": "model-00001-of-00002.safetensors",
284
+ "encoder.layers.20.mlp.Wi.weight": "model-00001-of-00002.safetensors",
285
+ "encoder.layers.20.mlp.Wo.weight": "model-00001-of-00002.safetensors",
286
+ "encoder.layers.20.mlp_norm.weight": "model-00001-of-00002.safetensors",
287
+ "encoder.layers.21.attn.Wo.weight": "model-00001-of-00002.safetensors",
288
+ "encoder.layers.21.attn.Wqkv.weight": "model-00001-of-00002.safetensors",
289
+ "encoder.layers.21.attn_norm.weight": "model-00001-of-00002.safetensors",
290
+ "encoder.layers.21.mlp.Wi.weight": "model-00001-of-00002.safetensors",
291
+ "encoder.layers.21.mlp.Wo.weight": "model-00001-of-00002.safetensors",
292
+ "encoder.layers.21.mlp_norm.weight": "model-00001-of-00002.safetensors",
293
+ "encoder.layers.22.attn.Wo.weight": "model-00001-of-00002.safetensors",
294
+ "encoder.layers.22.attn.Wqkv.weight": "model-00001-of-00002.safetensors",
295
+ "encoder.layers.22.attn_norm.weight": "model-00001-of-00002.safetensors",
296
+ "encoder.layers.22.mlp.Wi.weight": "model-00001-of-00002.safetensors",
297
+ "encoder.layers.22.mlp.Wo.weight": "model-00001-of-00002.safetensors",
298
+ "encoder.layers.22.mlp_norm.weight": "model-00001-of-00002.safetensors",
299
+ "encoder.layers.23.attn.Wo.weight": "model-00001-of-00002.safetensors",
300
+ "encoder.layers.23.attn.Wqkv.weight": "model-00001-of-00002.safetensors",
301
+ "encoder.layers.23.attn_norm.weight": "model-00001-of-00002.safetensors",
302
+ "encoder.layers.23.mlp.Wi.weight": "model-00001-of-00002.safetensors",
303
+ "encoder.layers.23.mlp.Wo.weight": "model-00001-of-00002.safetensors",
304
+ "encoder.layers.23.mlp_norm.weight": "model-00001-of-00002.safetensors",
305
+ "encoder.layers.24.attn.Wo.weight": "model-00001-of-00002.safetensors",
306
+ "encoder.layers.24.attn.Wqkv.weight": "model-00001-of-00002.safetensors",
307
+ "encoder.layers.24.attn_norm.weight": "model-00001-of-00002.safetensors",
308
+ "encoder.layers.24.mlp.Wi.weight": "model-00001-of-00002.safetensors",
309
+ "encoder.layers.24.mlp.Wo.weight": "model-00001-of-00002.safetensors",
310
+ "encoder.layers.24.mlp_norm.weight": "model-00001-of-00002.safetensors",
311
+ "encoder.layers.25.attn.Wo.weight": "model-00001-of-00002.safetensors",
312
+ "encoder.layers.25.attn.Wqkv.weight": "model-00001-of-00002.safetensors",
313
+ "encoder.layers.25.attn_norm.weight": "model-00001-of-00002.safetensors",
314
+ "encoder.layers.25.mlp.Wi.weight": "model-00001-of-00002.safetensors",
315
+ "encoder.layers.25.mlp.Wo.weight": "model-00001-of-00002.safetensors",
316
+ "encoder.layers.25.mlp_norm.weight": "model-00001-of-00002.safetensors",
317
+ "encoder.layers.26.attn.Wo.weight": "model-00001-of-00002.safetensors",
318
+ "encoder.layers.26.attn.Wqkv.weight": "model-00001-of-00002.safetensors",
319
+ "encoder.layers.26.attn_norm.weight": "model-00001-of-00002.safetensors",
320
+ "encoder.layers.26.mlp.Wi.weight": "model-00001-of-00002.safetensors",
321
+ "encoder.layers.26.mlp.Wo.weight": "model-00001-of-00002.safetensors",
322
+ "encoder.layers.26.mlp_norm.weight": "model-00001-of-00002.safetensors",
323
+ "encoder.layers.27.attn.Wo.weight": "model-00001-of-00002.safetensors",
324
+ "encoder.layers.27.attn.Wqkv.weight": "model-00001-of-00002.safetensors",
325
+ "encoder.layers.27.attn_norm.weight": "model-00001-of-00002.safetensors",
326
+ "encoder.layers.27.mlp.Wi.weight": "model-00001-of-00002.safetensors",
327
+ "encoder.layers.27.mlp.Wo.weight": "model-00001-of-00002.safetensors",
328
+ "encoder.layers.27.mlp_norm.weight": "model-00001-of-00002.safetensors",
329
+ "encoder.layers.3.attn.Wo.weight": "model-00001-of-00002.safetensors",
330
+ "encoder.layers.3.attn.Wqkv.weight": "model-00001-of-00002.safetensors",
331
+ "encoder.layers.3.attn_norm.weight": "model-00001-of-00002.safetensors",
332
+ "encoder.layers.3.mlp.Wi.weight": "model-00001-of-00002.safetensors",
333
+ "encoder.layers.3.mlp.Wo.weight": "model-00001-of-00002.safetensors",
334
+ "encoder.layers.3.mlp_norm.weight": "model-00001-of-00002.safetensors",
335
+ "encoder.layers.4.attn.Wo.weight": "model-00001-of-00002.safetensors",
336
+ "encoder.layers.4.attn.Wqkv.weight": "model-00001-of-00002.safetensors",
337
+ "encoder.layers.4.attn_norm.weight": "model-00001-of-00002.safetensors",
338
+ "encoder.layers.4.mlp.Wi.weight": "model-00001-of-00002.safetensors",
339
+ "encoder.layers.4.mlp.Wo.weight": "model-00001-of-00002.safetensors",
340
+ "encoder.layers.4.mlp_norm.weight": "model-00001-of-00002.safetensors",
341
+ "encoder.layers.5.attn.Wo.weight": "model-00001-of-00002.safetensors",
342
+ "encoder.layers.5.attn.Wqkv.weight": "model-00001-of-00002.safetensors",
343
+ "encoder.layers.5.attn_norm.weight": "model-00001-of-00002.safetensors",
344
+ "encoder.layers.5.mlp.Wi.weight": "model-00001-of-00002.safetensors",
345
+ "encoder.layers.5.mlp.Wo.weight": "model-00001-of-00002.safetensors",
346
+ "encoder.layers.5.mlp_norm.weight": "model-00001-of-00002.safetensors",
347
+ "encoder.layers.6.attn.Wo.weight": "model-00001-of-00002.safetensors",
348
+ "encoder.layers.6.attn.Wqkv.weight": "model-00001-of-00002.safetensors",
349
+ "encoder.layers.6.attn_norm.weight": "model-00001-of-00002.safetensors",
350
+ "encoder.layers.6.mlp.Wi.weight": "model-00001-of-00002.safetensors",
351
+ "encoder.layers.6.mlp.Wo.weight": "model-00001-of-00002.safetensors",
352
+ "encoder.layers.6.mlp_norm.weight": "model-00001-of-00002.safetensors",
353
+ "encoder.layers.7.attn.Wo.weight": "model-00001-of-00002.safetensors",
354
+ "encoder.layers.7.attn.Wqkv.weight": "model-00001-of-00002.safetensors",
355
+ "encoder.layers.7.attn_norm.weight": "model-00001-of-00002.safetensors",
356
+ "encoder.layers.7.mlp.Wi.weight": "model-00001-of-00002.safetensors",
357
+ "encoder.layers.7.mlp.Wo.weight": "model-00001-of-00002.safetensors",
358
+ "encoder.layers.7.mlp_norm.weight": "model-00001-of-00002.safetensors",
359
+ "encoder.layers.8.attn.Wo.weight": "model-00001-of-00002.safetensors",
360
+ "encoder.layers.8.attn.Wqkv.weight": "model-00001-of-00002.safetensors",
361
+ "encoder.layers.8.attn_norm.weight": "model-00001-of-00002.safetensors",
362
+ "encoder.layers.8.mlp.Wi.weight": "model-00001-of-00002.safetensors",
363
+ "encoder.layers.8.mlp.Wo.weight": "model-00001-of-00002.safetensors",
364
+ "encoder.layers.8.mlp_norm.weight": "model-00001-of-00002.safetensors",
365
+ "encoder.layers.9.attn.Wo.weight": "model-00001-of-00002.safetensors",
366
+ "encoder.layers.9.attn.Wqkv.weight": "model-00001-of-00002.safetensors",
367
+ "encoder.layers.9.attn_norm.weight": "model-00001-of-00002.safetensors",
368
+ "encoder.layers.9.mlp.Wi.weight": "model-00001-of-00002.safetensors",
369
+ "encoder.layers.9.mlp.Wo.weight": "model-00001-of-00002.safetensors",
370
+ "encoder.layers.9.mlp_norm.weight": "model-00001-of-00002.safetensors"
371
+ }
372
+ }