thesven commited on
Commit
38b4f21
1 Parent(s): e9e3b2a

Upload FalconForCausalLM

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 +1,42 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "tiiuae/falcon-11B",
3
+ "activation": "gelu",
4
+ "alibi": false,
5
+ "architectures": [
6
+ "FalconForCausalLM"
7
+ ],
8
+ "attention_dropout": 0.0,
9
+ "auto_map": {
10
+ "AutoConfig": "tiiuae/falcon-11B--configuration_falcon.FalconConfig",
11
+ "AutoModel": "tiiuae/falcon-11B--modeling_falcon.FalconModel",
12
+ "AutoModelForCausalLM": "tiiuae/falcon-11B--modeling_falcon.FalconForCausalLM",
13
+ "AutoModelForQuestionAnswering": "tiiuae/falcon-11B--modeling_falcon.FalconForQuestionAnswering",
14
+ "AutoModelForSequenceClassification": "tiiuae/falcon-11B--modeling_falcon.FalconForSequenceClassification",
15
+ "AutoModelForTokenClassification": "tiiuae/falcon-11B--modeling_falcon.FalconForTokenClassification"
16
+ },
17
+ "bias": false,
18
+ "bos_token_id": 11,
19
+ "eos_token_id": 11,
20
+ "ff_factor": 4,
21
+ "ffn_hidden_size": 16384,
22
+ "hidden_dropout": 0.0,
23
+ "hidden_size": 4096,
24
+ "initializer_range": 0.02,
25
+ "layer_norm_epsilon": 1e-05,
26
+ "max_position_embeddings": 8192,
27
+ "model_type": "falcon",
28
+ "multi_query": true,
29
+ "new_decoder_architecture": true,
30
+ "num_attention_heads": 32,
31
+ "num_hidden_layers": 60,
32
+ "num_kv_heads": 8,
33
+ "num_ln_in_parallel_attn": 1,
34
+ "parallel_attn": true,
35
+ "rope_scaling": null,
36
+ "rope_theta": 500042.0,
37
+ "tie_word_embeddings": false,
38
+ "torch_dtype": "bfloat16",
39
+ "transformers_version": "4.40.2",
40
+ "use_cache": true,
41
+ "vocab_size": 65024
42
+ }
generation_config.json ADDED
@@ -0,0 +1,6 @@
 
 
 
 
 
 
 
1
+ {
2
+ "_from_model_config": true,
3
+ "bos_token_id": 11,
4
+ "eos_token_id": 11,
5
+ "transformers_version": "4.40.2"
6
+ }
model-00001-of-00005.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2c777a92d2316f434c1453648c891a643d819269982083c5615d6694056f6d74
3
+ size 4979043376
model-00002-of-00005.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7f84472901d776e4d1c5a9345cf3147701cc0c7615cb2984f4e30536141e0330
3
+ size 4932972976
model-00003-of-00005.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f04f13436f58c33b0414361d83fbb94de329d4cecb25c624b03cc6616964106f
3
+ size 4932972976
model-00004-of-00005.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4e6c8b57dd52640a4c4cf1cfe9a8e1c29ccfe0dfaac192c9949dbed8c2c43348
3
+ size 4932972976
model-00005-of-00005.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:dde287a42be5d445a308f5b43c45802db631cb0d075d3bfbce34f659d68fe927
3
+ size 2428720400
model.safetensors.index.json ADDED
@@ -0,0 +1,491 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "metadata": {
3
+ "total_size": 22206627840
4
+ },
5
+ "weight_map": {
6
+ "lm_head.weight": "model-00005-of-00005.safetensors",
7
+ "transformer.h.0.ln_attn.bias": "model-00001-of-00005.safetensors",
8
+ "transformer.h.0.ln_attn.weight": "model-00001-of-00005.safetensors",
9
+ "transformer.h.0.ln_mlp.bias": "model-00001-of-00005.safetensors",
10
+ "transformer.h.0.ln_mlp.weight": "model-00001-of-00005.safetensors",
11
+ "transformer.h.0.mlp.dense_4h_to_h.weight": "model-00001-of-00005.safetensors",
12
+ "transformer.h.0.mlp.dense_h_to_4h.weight": "model-00001-of-00005.safetensors",
13
+ "transformer.h.0.self_attention.dense.weight": "model-00001-of-00005.safetensors",
14
+ "transformer.h.0.self_attention.query_key_value.weight": "model-00001-of-00005.safetensors",
15
+ "transformer.h.1.ln_attn.bias": "model-00001-of-00005.safetensors",
16
+ "transformer.h.1.ln_attn.weight": "model-00001-of-00005.safetensors",
17
+ "transformer.h.1.ln_mlp.bias": "model-00001-of-00005.safetensors",
18
+ "transformer.h.1.ln_mlp.weight": "model-00001-of-00005.safetensors",
19
+ "transformer.h.1.mlp.dense_4h_to_h.weight": "model-00001-of-00005.safetensors",
20
+ "transformer.h.1.mlp.dense_h_to_4h.weight": "model-00001-of-00005.safetensors",
21
+ "transformer.h.1.self_attention.dense.weight": "model-00001-of-00005.safetensors",
22
+ "transformer.h.1.self_attention.query_key_value.weight": "model-00001-of-00005.safetensors",
23
+ "transformer.h.10.ln_attn.bias": "model-00001-of-00005.safetensors",
24
+ "transformer.h.10.ln_attn.weight": "model-00001-of-00005.safetensors",
25
+ "transformer.h.10.ln_mlp.bias": "model-00001-of-00005.safetensors",
26
+ "transformer.h.10.ln_mlp.weight": "model-00001-of-00005.safetensors",
27
+ "transformer.h.10.mlp.dense_4h_to_h.weight": "model-00001-of-00005.safetensors",
28
+ "transformer.h.10.mlp.dense_h_to_4h.weight": "model-00001-of-00005.safetensors",
29
+ "transformer.h.10.self_attention.dense.weight": "model-00001-of-00005.safetensors",
30
+ "transformer.h.10.self_attention.query_key_value.weight": "model-00001-of-00005.safetensors",
31
+ "transformer.h.11.ln_attn.bias": "model-00001-of-00005.safetensors",
32
+ "transformer.h.11.ln_attn.weight": "model-00001-of-00005.safetensors",
33
+ "transformer.h.11.ln_mlp.bias": "model-00001-of-00005.safetensors",
34
+ "transformer.h.11.ln_mlp.weight": "model-00001-of-00005.safetensors",
35
+ "transformer.h.11.mlp.dense_4h_to_h.weight": "model-00001-of-00005.safetensors",
36
+ "transformer.h.11.mlp.dense_h_to_4h.weight": "model-00001-of-00005.safetensors",
37
+ "transformer.h.11.self_attention.dense.weight": "model-00001-of-00005.safetensors",
38
+ "transformer.h.11.self_attention.query_key_value.weight": "model-00001-of-00005.safetensors",
39
+ "transformer.h.12.ln_attn.bias": "model-00002-of-00005.safetensors",
40
+ "transformer.h.12.ln_attn.weight": "model-00002-of-00005.safetensors",
41
+ "transformer.h.12.ln_mlp.bias": "model-00002-of-00005.safetensors",
42
+ "transformer.h.12.ln_mlp.weight": "model-00002-of-00005.safetensors",
43
+ "transformer.h.12.mlp.dense_4h_to_h.weight": "model-00002-of-00005.safetensors",
44
+ "transformer.h.12.mlp.dense_h_to_4h.weight": "model-00001-of-00005.safetensors",
45
+ "transformer.h.12.self_attention.dense.weight": "model-00001-of-00005.safetensors",
46
+ "transformer.h.12.self_attention.query_key_value.weight": "model-00001-of-00005.safetensors",
47
+ "transformer.h.13.ln_attn.bias": "model-00002-of-00005.safetensors",
48
+ "transformer.h.13.ln_attn.weight": "model-00002-of-00005.safetensors",
49
+ "transformer.h.13.ln_mlp.bias": "model-00002-of-00005.safetensors",
50
+ "transformer.h.13.ln_mlp.weight": "model-00002-of-00005.safetensors",
51
+ "transformer.h.13.mlp.dense_4h_to_h.weight": "model-00002-of-00005.safetensors",
52
+ "transformer.h.13.mlp.dense_h_to_4h.weight": "model-00002-of-00005.safetensors",
53
+ "transformer.h.13.self_attention.dense.weight": "model-00002-of-00005.safetensors",
54
+ "transformer.h.13.self_attention.query_key_value.weight": "model-00002-of-00005.safetensors",
55
+ "transformer.h.14.ln_attn.bias": "model-00002-of-00005.safetensors",
56
+ "transformer.h.14.ln_attn.weight": "model-00002-of-00005.safetensors",
57
+ "transformer.h.14.ln_mlp.bias": "model-00002-of-00005.safetensors",
58
+ "transformer.h.14.ln_mlp.weight": "model-00002-of-00005.safetensors",
59
+ "transformer.h.14.mlp.dense_4h_to_h.weight": "model-00002-of-00005.safetensors",
60
+ "transformer.h.14.mlp.dense_h_to_4h.weight": "model-00002-of-00005.safetensors",
61
+ "transformer.h.14.self_attention.dense.weight": "model-00002-of-00005.safetensors",
62
+ "transformer.h.14.self_attention.query_key_value.weight": "model-00002-of-00005.safetensors",
63
+ "transformer.h.15.ln_attn.bias": "model-00002-of-00005.safetensors",
64
+ "transformer.h.15.ln_attn.weight": "model-00002-of-00005.safetensors",
65
+ "transformer.h.15.ln_mlp.bias": "model-00002-of-00005.safetensors",
66
+ "transformer.h.15.ln_mlp.weight": "model-00002-of-00005.safetensors",
67
+ "transformer.h.15.mlp.dense_4h_to_h.weight": "model-00002-of-00005.safetensors",
68
+ "transformer.h.15.mlp.dense_h_to_4h.weight": "model-00002-of-00005.safetensors",
69
+ "transformer.h.15.self_attention.dense.weight": "model-00002-of-00005.safetensors",
70
+ "transformer.h.15.self_attention.query_key_value.weight": "model-00002-of-00005.safetensors",
71
+ "transformer.h.16.ln_attn.bias": "model-00002-of-00005.safetensors",
72
+ "transformer.h.16.ln_attn.weight": "model-00002-of-00005.safetensors",
73
+ "transformer.h.16.ln_mlp.bias": "model-00002-of-00005.safetensors",
74
+ "transformer.h.16.ln_mlp.weight": "model-00002-of-00005.safetensors",
75
+ "transformer.h.16.mlp.dense_4h_to_h.weight": "model-00002-of-00005.safetensors",
76
+ "transformer.h.16.mlp.dense_h_to_4h.weight": "model-00002-of-00005.safetensors",
77
+ "transformer.h.16.self_attention.dense.weight": "model-00002-of-00005.safetensors",
78
+ "transformer.h.16.self_attention.query_key_value.weight": "model-00002-of-00005.safetensors",
79
+ "transformer.h.17.ln_attn.bias": "model-00002-of-00005.safetensors",
80
+ "transformer.h.17.ln_attn.weight": "model-00002-of-00005.safetensors",
81
+ "transformer.h.17.ln_mlp.bias": "model-00002-of-00005.safetensors",
82
+ "transformer.h.17.ln_mlp.weight": "model-00002-of-00005.safetensors",
83
+ "transformer.h.17.mlp.dense_4h_to_h.weight": "model-00002-of-00005.safetensors",
84
+ "transformer.h.17.mlp.dense_h_to_4h.weight": "model-00002-of-00005.safetensors",
85
+ "transformer.h.17.self_attention.dense.weight": "model-00002-of-00005.safetensors",
86
+ "transformer.h.17.self_attention.query_key_value.weight": "model-00002-of-00005.safetensors",
87
+ "transformer.h.18.ln_attn.bias": "model-00002-of-00005.safetensors",
88
+ "transformer.h.18.ln_attn.weight": "model-00002-of-00005.safetensors",
89
+ "transformer.h.18.ln_mlp.bias": "model-00002-of-00005.safetensors",
90
+ "transformer.h.18.ln_mlp.weight": "model-00002-of-00005.safetensors",
91
+ "transformer.h.18.mlp.dense_4h_to_h.weight": "model-00002-of-00005.safetensors",
92
+ "transformer.h.18.mlp.dense_h_to_4h.weight": "model-00002-of-00005.safetensors",
93
+ "transformer.h.18.self_attention.dense.weight": "model-00002-of-00005.safetensors",
94
+ "transformer.h.18.self_attention.query_key_value.weight": "model-00002-of-00005.safetensors",
95
+ "transformer.h.19.ln_attn.bias": "model-00002-of-00005.safetensors",
96
+ "transformer.h.19.ln_attn.weight": "model-00002-of-00005.safetensors",
97
+ "transformer.h.19.ln_mlp.bias": "model-00002-of-00005.safetensors",
98
+ "transformer.h.19.ln_mlp.weight": "model-00002-of-00005.safetensors",
99
+ "transformer.h.19.mlp.dense_4h_to_h.weight": "model-00002-of-00005.safetensors",
100
+ "transformer.h.19.mlp.dense_h_to_4h.weight": "model-00002-of-00005.safetensors",
101
+ "transformer.h.19.self_attention.dense.weight": "model-00002-of-00005.safetensors",
102
+ "transformer.h.19.self_attention.query_key_value.weight": "model-00002-of-00005.safetensors",
103
+ "transformer.h.2.ln_attn.bias": "model-00001-of-00005.safetensors",
104
+ "transformer.h.2.ln_attn.weight": "model-00001-of-00005.safetensors",
105
+ "transformer.h.2.ln_mlp.bias": "model-00001-of-00005.safetensors",
106
+ "transformer.h.2.ln_mlp.weight": "model-00001-of-00005.safetensors",
107
+ "transformer.h.2.mlp.dense_4h_to_h.weight": "model-00001-of-00005.safetensors",
108
+ "transformer.h.2.mlp.dense_h_to_4h.weight": "model-00001-of-00005.safetensors",
109
+ "transformer.h.2.self_attention.dense.weight": "model-00001-of-00005.safetensors",
110
+ "transformer.h.2.self_attention.query_key_value.weight": "model-00001-of-00005.safetensors",
111
+ "transformer.h.20.ln_attn.bias": "model-00002-of-00005.safetensors",
112
+ "transformer.h.20.ln_attn.weight": "model-00002-of-00005.safetensors",
113
+ "transformer.h.20.ln_mlp.bias": "model-00002-of-00005.safetensors",
114
+ "transformer.h.20.ln_mlp.weight": "model-00002-of-00005.safetensors",
115
+ "transformer.h.20.mlp.dense_4h_to_h.weight": "model-00002-of-00005.safetensors",
116
+ "transformer.h.20.mlp.dense_h_to_4h.weight": "model-00002-of-00005.safetensors",
117
+ "transformer.h.20.self_attention.dense.weight": "model-00002-of-00005.safetensors",
118
+ "transformer.h.20.self_attention.query_key_value.weight": "model-00002-of-00005.safetensors",
119
+ "transformer.h.21.ln_attn.bias": "model-00002-of-00005.safetensors",
120
+ "transformer.h.21.ln_attn.weight": "model-00002-of-00005.safetensors",
121
+ "transformer.h.21.ln_mlp.bias": "model-00002-of-00005.safetensors",
122
+ "transformer.h.21.ln_mlp.weight": "model-00002-of-00005.safetensors",
123
+ "transformer.h.21.mlp.dense_4h_to_h.weight": "model-00002-of-00005.safetensors",
124
+ "transformer.h.21.mlp.dense_h_to_4h.weight": "model-00002-of-00005.safetensors",
125
+ "transformer.h.21.self_attention.dense.weight": "model-00002-of-00005.safetensors",
126
+ "transformer.h.21.self_attention.query_key_value.weight": "model-00002-of-00005.safetensors",
127
+ "transformer.h.22.ln_attn.bias": "model-00002-of-00005.safetensors",
128
+ "transformer.h.22.ln_attn.weight": "model-00002-of-00005.safetensors",
129
+ "transformer.h.22.ln_mlp.bias": "model-00002-of-00005.safetensors",
130
+ "transformer.h.22.ln_mlp.weight": "model-00002-of-00005.safetensors",
131
+ "transformer.h.22.mlp.dense_4h_to_h.weight": "model-00002-of-00005.safetensors",
132
+ "transformer.h.22.mlp.dense_h_to_4h.weight": "model-00002-of-00005.safetensors",
133
+ "transformer.h.22.self_attention.dense.weight": "model-00002-of-00005.safetensors",
134
+ "transformer.h.22.self_attention.query_key_value.weight": "model-00002-of-00005.safetensors",
135
+ "transformer.h.23.ln_attn.bias": "model-00002-of-00005.safetensors",
136
+ "transformer.h.23.ln_attn.weight": "model-00002-of-00005.safetensors",
137
+ "transformer.h.23.ln_mlp.bias": "model-00002-of-00005.safetensors",
138
+ "transformer.h.23.ln_mlp.weight": "model-00002-of-00005.safetensors",
139
+ "transformer.h.23.mlp.dense_4h_to_h.weight": "model-00002-of-00005.safetensors",
140
+ "transformer.h.23.mlp.dense_h_to_4h.weight": "model-00002-of-00005.safetensors",
141
+ "transformer.h.23.self_attention.dense.weight": "model-00002-of-00005.safetensors",
142
+ "transformer.h.23.self_attention.query_key_value.weight": "model-00002-of-00005.safetensors",
143
+ "transformer.h.24.ln_attn.bias": "model-00002-of-00005.safetensors",
144
+ "transformer.h.24.ln_attn.weight": "model-00002-of-00005.safetensors",
145
+ "transformer.h.24.ln_mlp.bias": "model-00002-of-00005.safetensors",
146
+ "transformer.h.24.ln_mlp.weight": "model-00002-of-00005.safetensors",
147
+ "transformer.h.24.mlp.dense_4h_to_h.weight": "model-00002-of-00005.safetensors",
148
+ "transformer.h.24.mlp.dense_h_to_4h.weight": "model-00002-of-00005.safetensors",
149
+ "transformer.h.24.self_attention.dense.weight": "model-00002-of-00005.safetensors",
150
+ "transformer.h.24.self_attention.query_key_value.weight": "model-00002-of-00005.safetensors",
151
+ "transformer.h.25.ln_attn.bias": "model-00002-of-00005.safetensors",
152
+ "transformer.h.25.ln_attn.weight": "model-00002-of-00005.safetensors",
153
+ "transformer.h.25.ln_mlp.bias": "model-00002-of-00005.safetensors",
154
+ "transformer.h.25.ln_mlp.weight": "model-00002-of-00005.safetensors",
155
+ "transformer.h.25.mlp.dense_4h_to_h.weight": "model-00002-of-00005.safetensors",
156
+ "transformer.h.25.mlp.dense_h_to_4h.weight": "model-00002-of-00005.safetensors",
157
+ "transformer.h.25.self_attention.dense.weight": "model-00002-of-00005.safetensors",
158
+ "transformer.h.25.self_attention.query_key_value.weight": "model-00002-of-00005.safetensors",
159
+ "transformer.h.26.ln_attn.bias": "model-00003-of-00005.safetensors",
160
+ "transformer.h.26.ln_attn.weight": "model-00003-of-00005.safetensors",
161
+ "transformer.h.26.ln_mlp.bias": "model-00003-of-00005.safetensors",
162
+ "transformer.h.26.ln_mlp.weight": "model-00003-of-00005.safetensors",
163
+ "transformer.h.26.mlp.dense_4h_to_h.weight": "model-00003-of-00005.safetensors",
164
+ "transformer.h.26.mlp.dense_h_to_4h.weight": "model-00002-of-00005.safetensors",
165
+ "transformer.h.26.self_attention.dense.weight": "model-00002-of-00005.safetensors",
166
+ "transformer.h.26.self_attention.query_key_value.weight": "model-00002-of-00005.safetensors",
167
+ "transformer.h.27.ln_attn.bias": "model-00003-of-00005.safetensors",
168
+ "transformer.h.27.ln_attn.weight": "model-00003-of-00005.safetensors",
169
+ "transformer.h.27.ln_mlp.bias": "model-00003-of-00005.safetensors",
170
+ "transformer.h.27.ln_mlp.weight": "model-00003-of-00005.safetensors",
171
+ "transformer.h.27.mlp.dense_4h_to_h.weight": "model-00003-of-00005.safetensors",
172
+ "transformer.h.27.mlp.dense_h_to_4h.weight": "model-00003-of-00005.safetensors",
173
+ "transformer.h.27.self_attention.dense.weight": "model-00003-of-00005.safetensors",
174
+ "transformer.h.27.self_attention.query_key_value.weight": "model-00003-of-00005.safetensors",
175
+ "transformer.h.28.ln_attn.bias": "model-00003-of-00005.safetensors",
176
+ "transformer.h.28.ln_attn.weight": "model-00003-of-00005.safetensors",
177
+ "transformer.h.28.ln_mlp.bias": "model-00003-of-00005.safetensors",
178
+ "transformer.h.28.ln_mlp.weight": "model-00003-of-00005.safetensors",
179
+ "transformer.h.28.mlp.dense_4h_to_h.weight": "model-00003-of-00005.safetensors",
180
+ "transformer.h.28.mlp.dense_h_to_4h.weight": "model-00003-of-00005.safetensors",
181
+ "transformer.h.28.self_attention.dense.weight": "model-00003-of-00005.safetensors",
182
+ "transformer.h.28.self_attention.query_key_value.weight": "model-00003-of-00005.safetensors",
183
+ "transformer.h.29.ln_attn.bias": "model-00003-of-00005.safetensors",
184
+ "transformer.h.29.ln_attn.weight": "model-00003-of-00005.safetensors",
185
+ "transformer.h.29.ln_mlp.bias": "model-00003-of-00005.safetensors",
186
+ "transformer.h.29.ln_mlp.weight": "model-00003-of-00005.safetensors",
187
+ "transformer.h.29.mlp.dense_4h_to_h.weight": "model-00003-of-00005.safetensors",
188
+ "transformer.h.29.mlp.dense_h_to_4h.weight": "model-00003-of-00005.safetensors",
189
+ "transformer.h.29.self_attention.dense.weight": "model-00003-of-00005.safetensors",
190
+ "transformer.h.29.self_attention.query_key_value.weight": "model-00003-of-00005.safetensors",
191
+ "transformer.h.3.ln_attn.bias": "model-00001-of-00005.safetensors",
192
+ "transformer.h.3.ln_attn.weight": "model-00001-of-00005.safetensors",
193
+ "transformer.h.3.ln_mlp.bias": "model-00001-of-00005.safetensors",
194
+ "transformer.h.3.ln_mlp.weight": "model-00001-of-00005.safetensors",
195
+ "transformer.h.3.mlp.dense_4h_to_h.weight": "model-00001-of-00005.safetensors",
196
+ "transformer.h.3.mlp.dense_h_to_4h.weight": "model-00001-of-00005.safetensors",
197
+ "transformer.h.3.self_attention.dense.weight": "model-00001-of-00005.safetensors",
198
+ "transformer.h.3.self_attention.query_key_value.weight": "model-00001-of-00005.safetensors",
199
+ "transformer.h.30.ln_attn.bias": "model-00003-of-00005.safetensors",
200
+ "transformer.h.30.ln_attn.weight": "model-00003-of-00005.safetensors",
201
+ "transformer.h.30.ln_mlp.bias": "model-00003-of-00005.safetensors",
202
+ "transformer.h.30.ln_mlp.weight": "model-00003-of-00005.safetensors",
203
+ "transformer.h.30.mlp.dense_4h_to_h.weight": "model-00003-of-00005.safetensors",
204
+ "transformer.h.30.mlp.dense_h_to_4h.weight": "model-00003-of-00005.safetensors",
205
+ "transformer.h.30.self_attention.dense.weight": "model-00003-of-00005.safetensors",
206
+ "transformer.h.30.self_attention.query_key_value.weight": "model-00003-of-00005.safetensors",
207
+ "transformer.h.31.ln_attn.bias": "model-00003-of-00005.safetensors",
208
+ "transformer.h.31.ln_attn.weight": "model-00003-of-00005.safetensors",
209
+ "transformer.h.31.ln_mlp.bias": "model-00003-of-00005.safetensors",
210
+ "transformer.h.31.ln_mlp.weight": "model-00003-of-00005.safetensors",
211
+ "transformer.h.31.mlp.dense_4h_to_h.weight": "model-00003-of-00005.safetensors",
212
+ "transformer.h.31.mlp.dense_h_to_4h.weight": "model-00003-of-00005.safetensors",
213
+ "transformer.h.31.self_attention.dense.weight": "model-00003-of-00005.safetensors",
214
+ "transformer.h.31.self_attention.query_key_value.weight": "model-00003-of-00005.safetensors",
215
+ "transformer.h.32.ln_attn.bias": "model-00003-of-00005.safetensors",
216
+ "transformer.h.32.ln_attn.weight": "model-00003-of-00005.safetensors",
217
+ "transformer.h.32.ln_mlp.bias": "model-00003-of-00005.safetensors",
218
+ "transformer.h.32.ln_mlp.weight": "model-00003-of-00005.safetensors",
219
+ "transformer.h.32.mlp.dense_4h_to_h.weight": "model-00003-of-00005.safetensors",
220
+ "transformer.h.32.mlp.dense_h_to_4h.weight": "model-00003-of-00005.safetensors",
221
+ "transformer.h.32.self_attention.dense.weight": "model-00003-of-00005.safetensors",
222
+ "transformer.h.32.self_attention.query_key_value.weight": "model-00003-of-00005.safetensors",
223
+ "transformer.h.33.ln_attn.bias": "model-00003-of-00005.safetensors",
224
+ "transformer.h.33.ln_attn.weight": "model-00003-of-00005.safetensors",
225
+ "transformer.h.33.ln_mlp.bias": "model-00003-of-00005.safetensors",
226
+ "transformer.h.33.ln_mlp.weight": "model-00003-of-00005.safetensors",
227
+ "transformer.h.33.mlp.dense_4h_to_h.weight": "model-00003-of-00005.safetensors",
228
+ "transformer.h.33.mlp.dense_h_to_4h.weight": "model-00003-of-00005.safetensors",
229
+ "transformer.h.33.self_attention.dense.weight": "model-00003-of-00005.safetensors",
230
+ "transformer.h.33.self_attention.query_key_value.weight": "model-00003-of-00005.safetensors",
231
+ "transformer.h.34.ln_attn.bias": "model-00003-of-00005.safetensors",
232
+ "transformer.h.34.ln_attn.weight": "model-00003-of-00005.safetensors",
233
+ "transformer.h.34.ln_mlp.bias": "model-00003-of-00005.safetensors",
234
+ "transformer.h.34.ln_mlp.weight": "model-00003-of-00005.safetensors",
235
+ "transformer.h.34.mlp.dense_4h_to_h.weight": "model-00003-of-00005.safetensors",
236
+ "transformer.h.34.mlp.dense_h_to_4h.weight": "model-00003-of-00005.safetensors",
237
+ "transformer.h.34.self_attention.dense.weight": "model-00003-of-00005.safetensors",
238
+ "transformer.h.34.self_attention.query_key_value.weight": "model-00003-of-00005.safetensors",
239
+ "transformer.h.35.ln_attn.bias": "model-00003-of-00005.safetensors",
240
+ "transformer.h.35.ln_attn.weight": "model-00003-of-00005.safetensors",
241
+ "transformer.h.35.ln_mlp.bias": "model-00003-of-00005.safetensors",
242
+ "transformer.h.35.ln_mlp.weight": "model-00003-of-00005.safetensors",
243
+ "transformer.h.35.mlp.dense_4h_to_h.weight": "model-00003-of-00005.safetensors",
244
+ "transformer.h.35.mlp.dense_h_to_4h.weight": "model-00003-of-00005.safetensors",
245
+ "transformer.h.35.self_attention.dense.weight": "model-00003-of-00005.safetensors",
246
+ "transformer.h.35.self_attention.query_key_value.weight": "model-00003-of-00005.safetensors",
247
+ "transformer.h.36.ln_attn.bias": "model-00003-of-00005.safetensors",
248
+ "transformer.h.36.ln_attn.weight": "model-00003-of-00005.safetensors",
249
+ "transformer.h.36.ln_mlp.bias": "model-00003-of-00005.safetensors",
250
+ "transformer.h.36.ln_mlp.weight": "model-00003-of-00005.safetensors",
251
+ "transformer.h.36.mlp.dense_4h_to_h.weight": "model-00003-of-00005.safetensors",
252
+ "transformer.h.36.mlp.dense_h_to_4h.weight": "model-00003-of-00005.safetensors",
253
+ "transformer.h.36.self_attention.dense.weight": "model-00003-of-00005.safetensors",
254
+ "transformer.h.36.self_attention.query_key_value.weight": "model-00003-of-00005.safetensors",
255
+ "transformer.h.37.ln_attn.bias": "model-00003-of-00005.safetensors",
256
+ "transformer.h.37.ln_attn.weight": "model-00003-of-00005.safetensors",
257
+ "transformer.h.37.ln_mlp.bias": "model-00003-of-00005.safetensors",
258
+ "transformer.h.37.ln_mlp.weight": "model-00003-of-00005.safetensors",
259
+ "transformer.h.37.mlp.dense_4h_to_h.weight": "model-00003-of-00005.safetensors",
260
+ "transformer.h.37.mlp.dense_h_to_4h.weight": "model-00003-of-00005.safetensors",
261
+ "transformer.h.37.self_attention.dense.weight": "model-00003-of-00005.safetensors",
262
+ "transformer.h.37.self_attention.query_key_value.weight": "model-00003-of-00005.safetensors",
263
+ "transformer.h.38.ln_attn.bias": "model-00003-of-00005.safetensors",
264
+ "transformer.h.38.ln_attn.weight": "model-00003-of-00005.safetensors",
265
+ "transformer.h.38.ln_mlp.bias": "model-00003-of-00005.safetensors",
266
+ "transformer.h.38.ln_mlp.weight": "model-00003-of-00005.safetensors",
267
+ "transformer.h.38.mlp.dense_4h_to_h.weight": "model-00003-of-00005.safetensors",
268
+ "transformer.h.38.mlp.dense_h_to_4h.weight": "model-00003-of-00005.safetensors",
269
+ "transformer.h.38.self_attention.dense.weight": "model-00003-of-00005.safetensors",
270
+ "transformer.h.38.self_attention.query_key_value.weight": "model-00003-of-00005.safetensors",
271
+ "transformer.h.39.ln_attn.bias": "model-00003-of-00005.safetensors",
272
+ "transformer.h.39.ln_attn.weight": "model-00003-of-00005.safetensors",
273
+ "transformer.h.39.ln_mlp.bias": "model-00003-of-00005.safetensors",
274
+ "transformer.h.39.ln_mlp.weight": "model-00003-of-00005.safetensors",
275
+ "transformer.h.39.mlp.dense_4h_to_h.weight": "model-00003-of-00005.safetensors",
276
+ "transformer.h.39.mlp.dense_h_to_4h.weight": "model-00003-of-00005.safetensors",
277
+ "transformer.h.39.self_attention.dense.weight": "model-00003-of-00005.safetensors",
278
+ "transformer.h.39.self_attention.query_key_value.weight": "model-00003-of-00005.safetensors",
279
+ "transformer.h.4.ln_attn.bias": "model-00001-of-00005.safetensors",
280
+ "transformer.h.4.ln_attn.weight": "model-00001-of-00005.safetensors",
281
+ "transformer.h.4.ln_mlp.bias": "model-00001-of-00005.safetensors",
282
+ "transformer.h.4.ln_mlp.weight": "model-00001-of-00005.safetensors",
283
+ "transformer.h.4.mlp.dense_4h_to_h.weight": "model-00001-of-00005.safetensors",
284
+ "transformer.h.4.mlp.dense_h_to_4h.weight": "model-00001-of-00005.safetensors",
285
+ "transformer.h.4.self_attention.dense.weight": "model-00001-of-00005.safetensors",
286
+ "transformer.h.4.self_attention.query_key_value.weight": "model-00001-of-00005.safetensors",
287
+ "transformer.h.40.ln_attn.bias": "model-00004-of-00005.safetensors",
288
+ "transformer.h.40.ln_attn.weight": "model-00004-of-00005.safetensors",
289
+ "transformer.h.40.ln_mlp.bias": "model-00004-of-00005.safetensors",
290
+ "transformer.h.40.ln_mlp.weight": "model-00004-of-00005.safetensors",
291
+ "transformer.h.40.mlp.dense_4h_to_h.weight": "model-00004-of-00005.safetensors",
292
+ "transformer.h.40.mlp.dense_h_to_4h.weight": "model-00003-of-00005.safetensors",
293
+ "transformer.h.40.self_attention.dense.weight": "model-00003-of-00005.safetensors",
294
+ "transformer.h.40.self_attention.query_key_value.weight": "model-00003-of-00005.safetensors",
295
+ "transformer.h.41.ln_attn.bias": "model-00004-of-00005.safetensors",
296
+ "transformer.h.41.ln_attn.weight": "model-00004-of-00005.safetensors",
297
+ "transformer.h.41.ln_mlp.bias": "model-00004-of-00005.safetensors",
298
+ "transformer.h.41.ln_mlp.weight": "model-00004-of-00005.safetensors",
299
+ "transformer.h.41.mlp.dense_4h_to_h.weight": "model-00004-of-00005.safetensors",
300
+ "transformer.h.41.mlp.dense_h_to_4h.weight": "model-00004-of-00005.safetensors",
301
+ "transformer.h.41.self_attention.dense.weight": "model-00004-of-00005.safetensors",
302
+ "transformer.h.41.self_attention.query_key_value.weight": "model-00004-of-00005.safetensors",
303
+ "transformer.h.42.ln_attn.bias": "model-00004-of-00005.safetensors",
304
+ "transformer.h.42.ln_attn.weight": "model-00004-of-00005.safetensors",
305
+ "transformer.h.42.ln_mlp.bias": "model-00004-of-00005.safetensors",
306
+ "transformer.h.42.ln_mlp.weight": "model-00004-of-00005.safetensors",
307
+ "transformer.h.42.mlp.dense_4h_to_h.weight": "model-00004-of-00005.safetensors",
308
+ "transformer.h.42.mlp.dense_h_to_4h.weight": "model-00004-of-00005.safetensors",
309
+ "transformer.h.42.self_attention.dense.weight": "model-00004-of-00005.safetensors",
310
+ "transformer.h.42.self_attention.query_key_value.weight": "model-00004-of-00005.safetensors",
311
+ "transformer.h.43.ln_attn.bias": "model-00004-of-00005.safetensors",
312
+ "transformer.h.43.ln_attn.weight": "model-00004-of-00005.safetensors",
313
+ "transformer.h.43.ln_mlp.bias": "model-00004-of-00005.safetensors",
314
+ "transformer.h.43.ln_mlp.weight": "model-00004-of-00005.safetensors",
315
+ "transformer.h.43.mlp.dense_4h_to_h.weight": "model-00004-of-00005.safetensors",
316
+ "transformer.h.43.mlp.dense_h_to_4h.weight": "model-00004-of-00005.safetensors",
317
+ "transformer.h.43.self_attention.dense.weight": "model-00004-of-00005.safetensors",
318
+ "transformer.h.43.self_attention.query_key_value.weight": "model-00004-of-00005.safetensors",
319
+ "transformer.h.44.ln_attn.bias": "model-00004-of-00005.safetensors",
320
+ "transformer.h.44.ln_attn.weight": "model-00004-of-00005.safetensors",
321
+ "transformer.h.44.ln_mlp.bias": "model-00004-of-00005.safetensors",
322
+ "transformer.h.44.ln_mlp.weight": "model-00004-of-00005.safetensors",
323
+ "transformer.h.44.mlp.dense_4h_to_h.weight": "model-00004-of-00005.safetensors",
324
+ "transformer.h.44.mlp.dense_h_to_4h.weight": "model-00004-of-00005.safetensors",
325
+ "transformer.h.44.self_attention.dense.weight": "model-00004-of-00005.safetensors",
326
+ "transformer.h.44.self_attention.query_key_value.weight": "model-00004-of-00005.safetensors",
327
+ "transformer.h.45.ln_attn.bias": "model-00004-of-00005.safetensors",
328
+ "transformer.h.45.ln_attn.weight": "model-00004-of-00005.safetensors",
329
+ "transformer.h.45.ln_mlp.bias": "model-00004-of-00005.safetensors",
330
+ "transformer.h.45.ln_mlp.weight": "model-00004-of-00005.safetensors",
331
+ "transformer.h.45.mlp.dense_4h_to_h.weight": "model-00004-of-00005.safetensors",
332
+ "transformer.h.45.mlp.dense_h_to_4h.weight": "model-00004-of-00005.safetensors",
333
+ "transformer.h.45.self_attention.dense.weight": "model-00004-of-00005.safetensors",
334
+ "transformer.h.45.self_attention.query_key_value.weight": "model-00004-of-00005.safetensors",
335
+ "transformer.h.46.ln_attn.bias": "model-00004-of-00005.safetensors",
336
+ "transformer.h.46.ln_attn.weight": "model-00004-of-00005.safetensors",
337
+ "transformer.h.46.ln_mlp.bias": "model-00004-of-00005.safetensors",
338
+ "transformer.h.46.ln_mlp.weight": "model-00004-of-00005.safetensors",
339
+ "transformer.h.46.mlp.dense_4h_to_h.weight": "model-00004-of-00005.safetensors",
340
+ "transformer.h.46.mlp.dense_h_to_4h.weight": "model-00004-of-00005.safetensors",
341
+ "transformer.h.46.self_attention.dense.weight": "model-00004-of-00005.safetensors",
342
+ "transformer.h.46.self_attention.query_key_value.weight": "model-00004-of-00005.safetensors",
343
+ "transformer.h.47.ln_attn.bias": "model-00004-of-00005.safetensors",
344
+ "transformer.h.47.ln_attn.weight": "model-00004-of-00005.safetensors",
345
+ "transformer.h.47.ln_mlp.bias": "model-00004-of-00005.safetensors",
346
+ "transformer.h.47.ln_mlp.weight": "model-00004-of-00005.safetensors",
347
+ "transformer.h.47.mlp.dense_4h_to_h.weight": "model-00004-of-00005.safetensors",
348
+ "transformer.h.47.mlp.dense_h_to_4h.weight": "model-00004-of-00005.safetensors",
349
+ "transformer.h.47.self_attention.dense.weight": "model-00004-of-00005.safetensors",
350
+ "transformer.h.47.self_attention.query_key_value.weight": "model-00004-of-00005.safetensors",
351
+ "transformer.h.48.ln_attn.bias": "model-00004-of-00005.safetensors",
352
+ "transformer.h.48.ln_attn.weight": "model-00004-of-00005.safetensors",
353
+ "transformer.h.48.ln_mlp.bias": "model-00004-of-00005.safetensors",
354
+ "transformer.h.48.ln_mlp.weight": "model-00004-of-00005.safetensors",
355
+ "transformer.h.48.mlp.dense_4h_to_h.weight": "model-00004-of-00005.safetensors",
356
+ "transformer.h.48.mlp.dense_h_to_4h.weight": "model-00004-of-00005.safetensors",
357
+ "transformer.h.48.self_attention.dense.weight": "model-00004-of-00005.safetensors",
358
+ "transformer.h.48.self_attention.query_key_value.weight": "model-00004-of-00005.safetensors",
359
+ "transformer.h.49.ln_attn.bias": "model-00004-of-00005.safetensors",
360
+ "transformer.h.49.ln_attn.weight": "model-00004-of-00005.safetensors",
361
+ "transformer.h.49.ln_mlp.bias": "model-00004-of-00005.safetensors",
362
+ "transformer.h.49.ln_mlp.weight": "model-00004-of-00005.safetensors",
363
+ "transformer.h.49.mlp.dense_4h_to_h.weight": "model-00004-of-00005.safetensors",
364
+ "transformer.h.49.mlp.dense_h_to_4h.weight": "model-00004-of-00005.safetensors",
365
+ "transformer.h.49.self_attention.dense.weight": "model-00004-of-00005.safetensors",
366
+ "transformer.h.49.self_attention.query_key_value.weight": "model-00004-of-00005.safetensors",
367
+ "transformer.h.5.ln_attn.bias": "model-00001-of-00005.safetensors",
368
+ "transformer.h.5.ln_attn.weight": "model-00001-of-00005.safetensors",
369
+ "transformer.h.5.ln_mlp.bias": "model-00001-of-00005.safetensors",
370
+ "transformer.h.5.ln_mlp.weight": "model-00001-of-00005.safetensors",
371
+ "transformer.h.5.mlp.dense_4h_to_h.weight": "model-00001-of-00005.safetensors",
372
+ "transformer.h.5.mlp.dense_h_to_4h.weight": "model-00001-of-00005.safetensors",
373
+ "transformer.h.5.self_attention.dense.weight": "model-00001-of-00005.safetensors",
374
+ "transformer.h.5.self_attention.query_key_value.weight": "model-00001-of-00005.safetensors",
375
+ "transformer.h.50.ln_attn.bias": "model-00004-of-00005.safetensors",
376
+ "transformer.h.50.ln_attn.weight": "model-00004-of-00005.safetensors",
377
+ "transformer.h.50.ln_mlp.bias": "model-00004-of-00005.safetensors",
378
+ "transformer.h.50.ln_mlp.weight": "model-00004-of-00005.safetensors",
379
+ "transformer.h.50.mlp.dense_4h_to_h.weight": "model-00004-of-00005.safetensors",
380
+ "transformer.h.50.mlp.dense_h_to_4h.weight": "model-00004-of-00005.safetensors",
381
+ "transformer.h.50.self_attention.dense.weight": "model-00004-of-00005.safetensors",
382
+ "transformer.h.50.self_attention.query_key_value.weight": "model-00004-of-00005.safetensors",
383
+ "transformer.h.51.ln_attn.bias": "model-00004-of-00005.safetensors",
384
+ "transformer.h.51.ln_attn.weight": "model-00004-of-00005.safetensors",
385
+ "transformer.h.51.ln_mlp.bias": "model-00004-of-00005.safetensors",
386
+ "transformer.h.51.ln_mlp.weight": "model-00004-of-00005.safetensors",
387
+ "transformer.h.51.mlp.dense_4h_to_h.weight": "model-00004-of-00005.safetensors",
388
+ "transformer.h.51.mlp.dense_h_to_4h.weight": "model-00004-of-00005.safetensors",
389
+ "transformer.h.51.self_attention.dense.weight": "model-00004-of-00005.safetensors",
390
+ "transformer.h.51.self_attention.query_key_value.weight": "model-00004-of-00005.safetensors",
391
+ "transformer.h.52.ln_attn.bias": "model-00004-of-00005.safetensors",
392
+ "transformer.h.52.ln_attn.weight": "model-00004-of-00005.safetensors",
393
+ "transformer.h.52.ln_mlp.bias": "model-00004-of-00005.safetensors",
394
+ "transformer.h.52.ln_mlp.weight": "model-00004-of-00005.safetensors",
395
+ "transformer.h.52.mlp.dense_4h_to_h.weight": "model-00004-of-00005.safetensors",
396
+ "transformer.h.52.mlp.dense_h_to_4h.weight": "model-00004-of-00005.safetensors",
397
+ "transformer.h.52.self_attention.dense.weight": "model-00004-of-00005.safetensors",
398
+ "transformer.h.52.self_attention.query_key_value.weight": "model-00004-of-00005.safetensors",
399
+ "transformer.h.53.ln_attn.bias": "model-00004-of-00005.safetensors",
400
+ "transformer.h.53.ln_attn.weight": "model-00004-of-00005.safetensors",
401
+ "transformer.h.53.ln_mlp.bias": "model-00004-of-00005.safetensors",
402
+ "transformer.h.53.ln_mlp.weight": "model-00004-of-00005.safetensors",
403
+ "transformer.h.53.mlp.dense_4h_to_h.weight": "model-00004-of-00005.safetensors",
404
+ "transformer.h.53.mlp.dense_h_to_4h.weight": "model-00004-of-00005.safetensors",
405
+ "transformer.h.53.self_attention.dense.weight": "model-00004-of-00005.safetensors",
406
+ "transformer.h.53.self_attention.query_key_value.weight": "model-00004-of-00005.safetensors",
407
+ "transformer.h.54.ln_attn.bias": "model-00005-of-00005.safetensors",
408
+ "transformer.h.54.ln_attn.weight": "model-00005-of-00005.safetensors",
409
+ "transformer.h.54.ln_mlp.bias": "model-00005-of-00005.safetensors",
410
+ "transformer.h.54.ln_mlp.weight": "model-00005-of-00005.safetensors",
411
+ "transformer.h.54.mlp.dense_4h_to_h.weight": "model-00005-of-00005.safetensors",
412
+ "transformer.h.54.mlp.dense_h_to_4h.weight": "model-00004-of-00005.safetensors",
413
+ "transformer.h.54.self_attention.dense.weight": "model-00004-of-00005.safetensors",
414
+ "transformer.h.54.self_attention.query_key_value.weight": "model-00004-of-00005.safetensors",
415
+ "transformer.h.55.ln_attn.bias": "model-00005-of-00005.safetensors",
416
+ "transformer.h.55.ln_attn.weight": "model-00005-of-00005.safetensors",
417
+ "transformer.h.55.ln_mlp.bias": "model-00005-of-00005.safetensors",
418
+ "transformer.h.55.ln_mlp.weight": "model-00005-of-00005.safetensors",
419
+ "transformer.h.55.mlp.dense_4h_to_h.weight": "model-00005-of-00005.safetensors",
420
+ "transformer.h.55.mlp.dense_h_to_4h.weight": "model-00005-of-00005.safetensors",
421
+ "transformer.h.55.self_attention.dense.weight": "model-00005-of-00005.safetensors",
422
+ "transformer.h.55.self_attention.query_key_value.weight": "model-00005-of-00005.safetensors",
423
+ "transformer.h.56.ln_attn.bias": "model-00005-of-00005.safetensors",
424
+ "transformer.h.56.ln_attn.weight": "model-00005-of-00005.safetensors",
425
+ "transformer.h.56.ln_mlp.bias": "model-00005-of-00005.safetensors",
426
+ "transformer.h.56.ln_mlp.weight": "model-00005-of-00005.safetensors",
427
+ "transformer.h.56.mlp.dense_4h_to_h.weight": "model-00005-of-00005.safetensors",
428
+ "transformer.h.56.mlp.dense_h_to_4h.weight": "model-00005-of-00005.safetensors",
429
+ "transformer.h.56.self_attention.dense.weight": "model-00005-of-00005.safetensors",
430
+ "transformer.h.56.self_attention.query_key_value.weight": "model-00005-of-00005.safetensors",
431
+ "transformer.h.57.ln_attn.bias": "model-00005-of-00005.safetensors",
432
+ "transformer.h.57.ln_attn.weight": "model-00005-of-00005.safetensors",
433
+ "transformer.h.57.ln_mlp.bias": "model-00005-of-00005.safetensors",
434
+ "transformer.h.57.ln_mlp.weight": "model-00005-of-00005.safetensors",
435
+ "transformer.h.57.mlp.dense_4h_to_h.weight": "model-00005-of-00005.safetensors",
436
+ "transformer.h.57.mlp.dense_h_to_4h.weight": "model-00005-of-00005.safetensors",
437
+ "transformer.h.57.self_attention.dense.weight": "model-00005-of-00005.safetensors",
438
+ "transformer.h.57.self_attention.query_key_value.weight": "model-00005-of-00005.safetensors",
439
+ "transformer.h.58.ln_attn.bias": "model-00005-of-00005.safetensors",
440
+ "transformer.h.58.ln_attn.weight": "model-00005-of-00005.safetensors",
441
+ "transformer.h.58.ln_mlp.bias": "model-00005-of-00005.safetensors",
442
+ "transformer.h.58.ln_mlp.weight": "model-00005-of-00005.safetensors",
443
+ "transformer.h.58.mlp.dense_4h_to_h.weight": "model-00005-of-00005.safetensors",
444
+ "transformer.h.58.mlp.dense_h_to_4h.weight": "model-00005-of-00005.safetensors",
445
+ "transformer.h.58.self_attention.dense.weight": "model-00005-of-00005.safetensors",
446
+ "transformer.h.58.self_attention.query_key_value.weight": "model-00005-of-00005.safetensors",
447
+ "transformer.h.59.ln_attn.bias": "model-00005-of-00005.safetensors",
448
+ "transformer.h.59.ln_attn.weight": "model-00005-of-00005.safetensors",
449
+ "transformer.h.59.ln_mlp.bias": "model-00005-of-00005.safetensors",
450
+ "transformer.h.59.ln_mlp.weight": "model-00005-of-00005.safetensors",
451
+ "transformer.h.59.mlp.dense_4h_to_h.weight": "model-00005-of-00005.safetensors",
452
+ "transformer.h.59.mlp.dense_h_to_4h.weight": "model-00005-of-00005.safetensors",
453
+ "transformer.h.59.self_attention.dense.weight": "model-00005-of-00005.safetensors",
454
+ "transformer.h.59.self_attention.query_key_value.weight": "model-00005-of-00005.safetensors",
455
+ "transformer.h.6.ln_attn.bias": "model-00001-of-00005.safetensors",
456
+ "transformer.h.6.ln_attn.weight": "model-00001-of-00005.safetensors",
457
+ "transformer.h.6.ln_mlp.bias": "model-00001-of-00005.safetensors",
458
+ "transformer.h.6.ln_mlp.weight": "model-00001-of-00005.safetensors",
459
+ "transformer.h.6.mlp.dense_4h_to_h.weight": "model-00001-of-00005.safetensors",
460
+ "transformer.h.6.mlp.dense_h_to_4h.weight": "model-00001-of-00005.safetensors",
461
+ "transformer.h.6.self_attention.dense.weight": "model-00001-of-00005.safetensors",
462
+ "transformer.h.6.self_attention.query_key_value.weight": "model-00001-of-00005.safetensors",
463
+ "transformer.h.7.ln_attn.bias": "model-00001-of-00005.safetensors",
464
+ "transformer.h.7.ln_attn.weight": "model-00001-of-00005.safetensors",
465
+ "transformer.h.7.ln_mlp.bias": "model-00001-of-00005.safetensors",
466
+ "transformer.h.7.ln_mlp.weight": "model-00001-of-00005.safetensors",
467
+ "transformer.h.7.mlp.dense_4h_to_h.weight": "model-00001-of-00005.safetensors",
468
+ "transformer.h.7.mlp.dense_h_to_4h.weight": "model-00001-of-00005.safetensors",
469
+ "transformer.h.7.self_attention.dense.weight": "model-00001-of-00005.safetensors",
470
+ "transformer.h.7.self_attention.query_key_value.weight": "model-00001-of-00005.safetensors",
471
+ "transformer.h.8.ln_attn.bias": "model-00001-of-00005.safetensors",
472
+ "transformer.h.8.ln_attn.weight": "model-00001-of-00005.safetensors",
473
+ "transformer.h.8.ln_mlp.bias": "model-00001-of-00005.safetensors",
474
+ "transformer.h.8.ln_mlp.weight": "model-00001-of-00005.safetensors",
475
+ "transformer.h.8.mlp.dense_4h_to_h.weight": "model-00001-of-00005.safetensors",
476
+ "transformer.h.8.mlp.dense_h_to_4h.weight": "model-00001-of-00005.safetensors",
477
+ "transformer.h.8.self_attention.dense.weight": "model-00001-of-00005.safetensors",
478
+ "transformer.h.8.self_attention.query_key_value.weight": "model-00001-of-00005.safetensors",
479
+ "transformer.h.9.ln_attn.bias": "model-00001-of-00005.safetensors",
480
+ "transformer.h.9.ln_attn.weight": "model-00001-of-00005.safetensors",
481
+ "transformer.h.9.ln_mlp.bias": "model-00001-of-00005.safetensors",
482
+ "transformer.h.9.ln_mlp.weight": "model-00001-of-00005.safetensors",
483
+ "transformer.h.9.mlp.dense_4h_to_h.weight": "model-00001-of-00005.safetensors",
484
+ "transformer.h.9.mlp.dense_h_to_4h.weight": "model-00001-of-00005.safetensors",
485
+ "transformer.h.9.self_attention.dense.weight": "model-00001-of-00005.safetensors",
486
+ "transformer.h.9.self_attention.query_key_value.weight": "model-00001-of-00005.safetensors",
487
+ "transformer.ln_f.bias": "model-00005-of-00005.safetensors",
488
+ "transformer.ln_f.weight": "model-00005-of-00005.safetensors",
489
+ "transformer.word_embeddings.weight": "model-00001-of-00005.safetensors"
490
+ }
491
+ }