MahmoudIbrahim commited on
Commit
7fffacb
1 Parent(s): 757f7a8

Upload FalconForCausalLM

Browse files
README.md ADDED
@@ -0,0 +1,201 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: transformers
3
+ tags:
4
+ - trl
5
+ - sft
6
+ ---
7
+
8
+ # Model Card for Model ID
9
+
10
+ <!-- Provide a quick summary of what the model is/does. -->
11
+
12
+
13
+
14
+ ## Model Details
15
+
16
+ ### Model Description
17
+
18
+ <!-- Provide a longer summary of what this model is. -->
19
+
20
+ This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
21
+
22
+ - **Developed by:** [More Information Needed]
23
+ - **Funded by [optional]:** [More Information Needed]
24
+ - **Shared by [optional]:** [More Information Needed]
25
+ - **Model type:** [More Information Needed]
26
+ - **Language(s) (NLP):** [More Information Needed]
27
+ - **License:** [More Information Needed]
28
+ - **Finetuned from model [optional]:** [More Information Needed]
29
+
30
+ ### Model Sources [optional]
31
+
32
+ <!-- Provide the basic links for the model. -->
33
+
34
+ - **Repository:** [More Information Needed]
35
+ - **Paper [optional]:** [More Information Needed]
36
+ - **Demo [optional]:** [More Information Needed]
37
+
38
+ ## Uses
39
+
40
+ <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
41
+
42
+ ### Direct Use
43
+
44
+ <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
45
+
46
+ [More Information Needed]
47
+
48
+ ### Downstream Use [optional]
49
+
50
+ <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
51
+
52
+ [More Information Needed]
53
+
54
+ ### Out-of-Scope Use
55
+
56
+ <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
57
+
58
+ [More Information Needed]
59
+
60
+ ## Bias, Risks, and Limitations
61
+
62
+ <!-- This section is meant to convey both technical and sociotechnical limitations. -->
63
+
64
+ [More Information Needed]
65
+
66
+ ### Recommendations
67
+
68
+ <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
69
+
70
+ Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
71
+
72
+ ## How to Get Started with the Model
73
+
74
+ Use the code below to get started with the model.
75
+
76
+ [More Information Needed]
77
+
78
+ ## Training Details
79
+
80
+ ### Training Data
81
+
82
+ <!-- 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. -->
83
+
84
+ [More Information Needed]
85
+
86
+ ### Training Procedure
87
+
88
+ <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
89
+
90
+ #### Preprocessing [optional]
91
+
92
+ [More Information Needed]
93
+
94
+
95
+ #### Training Hyperparameters
96
+
97
+ - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
98
+
99
+ #### Speeds, Sizes, Times [optional]
100
+
101
+ <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
102
+
103
+ [More Information Needed]
104
+
105
+ ## Evaluation
106
+
107
+ <!-- This section describes the evaluation protocols and provides the results. -->
108
+
109
+ ### Testing Data, Factors & Metrics
110
+
111
+ #### Testing Data
112
+
113
+ <!-- This should link to a Dataset Card if possible. -->
114
+
115
+ [More Information Needed]
116
+
117
+ #### Factors
118
+
119
+ <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
120
+
121
+ [More Information Needed]
122
+
123
+ #### Metrics
124
+
125
+ <!-- These are the evaluation metrics being used, ideally with a description of why. -->
126
+
127
+ [More Information Needed]
128
+
129
+ ### Results
130
+
131
+ [More Information Needed]
132
+
133
+ #### Summary
134
+
135
+
136
+
137
+ ## Model Examination [optional]
138
+
139
+ <!-- Relevant interpretability work for the model goes here -->
140
+
141
+ [More Information Needed]
142
+
143
+ ## Environmental Impact
144
+
145
+ <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
146
+
147
+ 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).
148
+
149
+ - **Hardware Type:** [More Information Needed]
150
+ - **Hours used:** [More Information Needed]
151
+ - **Cloud Provider:** [More Information Needed]
152
+ - **Compute Region:** [More Information Needed]
153
+ - **Carbon Emitted:** [More Information Needed]
154
+
155
+ ## Technical Specifications [optional]
156
+
157
+ ### Model Architecture and Objective
158
+
159
+ [More Information Needed]
160
+
161
+ ### Compute Infrastructure
162
+
163
+ [More Information Needed]
164
+
165
+ #### Hardware
166
+
167
+ [More Information Needed]
168
+
169
+ #### Software
170
+
171
+ [More Information Needed]
172
+
173
+ ## Citation [optional]
174
+
175
+ <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
176
+
177
+ **BibTeX:**
178
+
179
+ [More Information Needed]
180
+
181
+ **APA:**
182
+
183
+ [More Information Needed]
184
+
185
+ ## Glossary [optional]
186
+
187
+ <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
188
+
189
+ [More Information Needed]
190
+
191
+ ## More Information [optional]
192
+
193
+ [More Information Needed]
194
+
195
+ ## Model Card Authors [optional]
196
+
197
+ [More Information Needed]
198
+
199
+ ## Model Card Contact
200
+
201
+ [More Information Needed]
config.json ADDED
@@ -0,0 +1,50 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "ybelkada/falcon-7b-sharded-bf16",
3
+ "activation": "gelu",
4
+ "alibi": false,
5
+ "apply_residual_connection_post_layernorm": false,
6
+ "architectures": [
7
+ "FalconForCausalLM"
8
+ ],
9
+ "attention_dropout": 0.0,
10
+ "bias": false,
11
+ "bos_token_id": 11,
12
+ "eos_token_id": 11,
13
+ "ffn_hidden_size": 18176,
14
+ "hidden_dropout": 0.0,
15
+ "hidden_size": 4544,
16
+ "initializer_range": 0.02,
17
+ "layer_norm_epsilon": 1e-05,
18
+ "max_position_embeddings": 2048,
19
+ "model_type": "falcon",
20
+ "multi_query": true,
21
+ "n_head": 71,
22
+ "n_layer": 32,
23
+ "new_decoder_architecture": false,
24
+ "num_attention_heads": 71,
25
+ "num_hidden_layers": 32,
26
+ "num_kv_heads": 71,
27
+ "num_ln_in_parallel_attn": null,
28
+ "parallel_attn": true,
29
+ "quantization_config": {
30
+ "_load_in_4bit": true,
31
+ "_load_in_8bit": false,
32
+ "bnb_4bit_compute_dtype": "float16",
33
+ "bnb_4bit_quant_storage": "uint8",
34
+ "bnb_4bit_quant_type": "nf4",
35
+ "bnb_4bit_use_double_quant": false,
36
+ "llm_int8_enable_fp32_cpu_offload": false,
37
+ "llm_int8_has_fp16_weight": false,
38
+ "llm_int8_skip_modules": null,
39
+ "llm_int8_threshold": 6.0,
40
+ "load_in_4bit": true,
41
+ "load_in_8bit": false,
42
+ "quant_method": "bitsandbytes"
43
+ },
44
+ "rope_scaling": null,
45
+ "rope_theta": 10000.0,
46
+ "torch_dtype": "float32",
47
+ "transformers_version": "4.44.2",
48
+ "use_cache": false,
49
+ "vocab_size": 65024
50
+ }
generation_config.json ADDED
@@ -0,0 +1,6 @@
 
 
 
 
 
 
 
1
+ {
2
+ "_from_model_config": true,
3
+ "bos_token_id": 1,
4
+ "eos_token_id": 2,
5
+ "transformers_version": "4.44.2"
6
+ }
model-00001-of-00002.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:78e47fa356111bec776b9cd4b9a830c0b4b84f836ca84930e4dc8778850fd408
3
+ size 4981655852
model-00002-of-00002.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:47b73104b6a7903a22391ba8db6c1c965448f7d1080834f4015be29b88e8a24c
3
+ size 450840308
model.safetensors.index.json ADDED
@@ -0,0 +1,842 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "metadata": {
3
+ "total_size": 5432383168
4
+ },
5
+ "weight_map": {
6
+ "transformer.h.0.input_layernorm.bias": "model-00001-of-00002.safetensors",
7
+ "transformer.h.0.input_layernorm.weight": "model-00001-of-00002.safetensors",
8
+ "transformer.h.0.mlp.dense_4h_to_h.base_layer.weight": "model-00001-of-00002.safetensors",
9
+ "transformer.h.0.mlp.dense_4h_to_h.base_layer.weight.absmax": "model-00001-of-00002.safetensors",
10
+ "transformer.h.0.mlp.dense_4h_to_h.base_layer.weight.quant_map": "model-00001-of-00002.safetensors",
11
+ "transformer.h.0.mlp.dense_4h_to_h.base_layer.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
12
+ "transformer.h.0.mlp.dense_4h_to_h.lora_A.default.weight": "model-00001-of-00002.safetensors",
13
+ "transformer.h.0.mlp.dense_4h_to_h.lora_B.default.weight": "model-00001-of-00002.safetensors",
14
+ "transformer.h.0.mlp.dense_h_to_4h.base_layer.weight": "model-00001-of-00002.safetensors",
15
+ "transformer.h.0.mlp.dense_h_to_4h.base_layer.weight.absmax": "model-00001-of-00002.safetensors",
16
+ "transformer.h.0.mlp.dense_h_to_4h.base_layer.weight.quant_map": "model-00001-of-00002.safetensors",
17
+ "transformer.h.0.mlp.dense_h_to_4h.base_layer.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
18
+ "transformer.h.0.mlp.dense_h_to_4h.lora_A.default.weight": "model-00001-of-00002.safetensors",
19
+ "transformer.h.0.mlp.dense_h_to_4h.lora_B.default.weight": "model-00001-of-00002.safetensors",
20
+ "transformer.h.0.self_attention.dense.base_layer.weight": "model-00001-of-00002.safetensors",
21
+ "transformer.h.0.self_attention.dense.base_layer.weight.absmax": "model-00001-of-00002.safetensors",
22
+ "transformer.h.0.self_attention.dense.base_layer.weight.quant_map": "model-00001-of-00002.safetensors",
23
+ "transformer.h.0.self_attention.dense.base_layer.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
24
+ "transformer.h.0.self_attention.dense.lora_A.default.weight": "model-00001-of-00002.safetensors",
25
+ "transformer.h.0.self_attention.dense.lora_B.default.weight": "model-00001-of-00002.safetensors",
26
+ "transformer.h.0.self_attention.query_key_value.base_layer.weight": "model-00001-of-00002.safetensors",
27
+ "transformer.h.0.self_attention.query_key_value.base_layer.weight.absmax": "model-00001-of-00002.safetensors",
28
+ "transformer.h.0.self_attention.query_key_value.base_layer.weight.quant_map": "model-00001-of-00002.safetensors",
29
+ "transformer.h.0.self_attention.query_key_value.base_layer.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
30
+ "transformer.h.0.self_attention.query_key_value.lora_A.default.weight": "model-00001-of-00002.safetensors",
31
+ "transformer.h.0.self_attention.query_key_value.lora_B.default.weight": "model-00001-of-00002.safetensors",
32
+ "transformer.h.1.input_layernorm.bias": "model-00001-of-00002.safetensors",
33
+ "transformer.h.1.input_layernorm.weight": "model-00001-of-00002.safetensors",
34
+ "transformer.h.1.mlp.dense_4h_to_h.base_layer.weight": "model-00001-of-00002.safetensors",
35
+ "transformer.h.1.mlp.dense_4h_to_h.base_layer.weight.absmax": "model-00001-of-00002.safetensors",
36
+ "transformer.h.1.mlp.dense_4h_to_h.base_layer.weight.quant_map": "model-00001-of-00002.safetensors",
37
+ "transformer.h.1.mlp.dense_4h_to_h.base_layer.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
38
+ "transformer.h.1.mlp.dense_4h_to_h.lora_A.default.weight": "model-00001-of-00002.safetensors",
39
+ "transformer.h.1.mlp.dense_4h_to_h.lora_B.default.weight": "model-00001-of-00002.safetensors",
40
+ "transformer.h.1.mlp.dense_h_to_4h.base_layer.weight": "model-00001-of-00002.safetensors",
41
+ "transformer.h.1.mlp.dense_h_to_4h.base_layer.weight.absmax": "model-00001-of-00002.safetensors",
42
+ "transformer.h.1.mlp.dense_h_to_4h.base_layer.weight.quant_map": "model-00001-of-00002.safetensors",
43
+ "transformer.h.1.mlp.dense_h_to_4h.base_layer.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
44
+ "transformer.h.1.mlp.dense_h_to_4h.lora_A.default.weight": "model-00001-of-00002.safetensors",
45
+ "transformer.h.1.mlp.dense_h_to_4h.lora_B.default.weight": "model-00001-of-00002.safetensors",
46
+ "transformer.h.1.self_attention.dense.base_layer.weight": "model-00001-of-00002.safetensors",
47
+ "transformer.h.1.self_attention.dense.base_layer.weight.absmax": "model-00001-of-00002.safetensors",
48
+ "transformer.h.1.self_attention.dense.base_layer.weight.quant_map": "model-00001-of-00002.safetensors",
49
+ "transformer.h.1.self_attention.dense.base_layer.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
50
+ "transformer.h.1.self_attention.dense.lora_A.default.weight": "model-00001-of-00002.safetensors",
51
+ "transformer.h.1.self_attention.dense.lora_B.default.weight": "model-00001-of-00002.safetensors",
52
+ "transformer.h.1.self_attention.query_key_value.base_layer.weight": "model-00001-of-00002.safetensors",
53
+ "transformer.h.1.self_attention.query_key_value.base_layer.weight.absmax": "model-00001-of-00002.safetensors",
54
+ "transformer.h.1.self_attention.query_key_value.base_layer.weight.quant_map": "model-00001-of-00002.safetensors",
55
+ "transformer.h.1.self_attention.query_key_value.base_layer.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
56
+ "transformer.h.1.self_attention.query_key_value.lora_A.default.weight": "model-00001-of-00002.safetensors",
57
+ "transformer.h.1.self_attention.query_key_value.lora_B.default.weight": "model-00001-of-00002.safetensors",
58
+ "transformer.h.10.input_layernorm.bias": "model-00001-of-00002.safetensors",
59
+ "transformer.h.10.input_layernorm.weight": "model-00001-of-00002.safetensors",
60
+ "transformer.h.10.mlp.dense_4h_to_h.base_layer.weight": "model-00001-of-00002.safetensors",
61
+ "transformer.h.10.mlp.dense_4h_to_h.base_layer.weight.absmax": "model-00001-of-00002.safetensors",
62
+ "transformer.h.10.mlp.dense_4h_to_h.base_layer.weight.quant_map": "model-00001-of-00002.safetensors",
63
+ "transformer.h.10.mlp.dense_4h_to_h.base_layer.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
64
+ "transformer.h.10.mlp.dense_4h_to_h.lora_A.default.weight": "model-00001-of-00002.safetensors",
65
+ "transformer.h.10.mlp.dense_4h_to_h.lora_B.default.weight": "model-00001-of-00002.safetensors",
66
+ "transformer.h.10.mlp.dense_h_to_4h.base_layer.weight": "model-00001-of-00002.safetensors",
67
+ "transformer.h.10.mlp.dense_h_to_4h.base_layer.weight.absmax": "model-00001-of-00002.safetensors",
68
+ "transformer.h.10.mlp.dense_h_to_4h.base_layer.weight.quant_map": "model-00001-of-00002.safetensors",
69
+ "transformer.h.10.mlp.dense_h_to_4h.base_layer.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
70
+ "transformer.h.10.mlp.dense_h_to_4h.lora_A.default.weight": "model-00001-of-00002.safetensors",
71
+ "transformer.h.10.mlp.dense_h_to_4h.lora_B.default.weight": "model-00001-of-00002.safetensors",
72
+ "transformer.h.10.self_attention.dense.base_layer.weight": "model-00001-of-00002.safetensors",
73
+ "transformer.h.10.self_attention.dense.base_layer.weight.absmax": "model-00001-of-00002.safetensors",
74
+ "transformer.h.10.self_attention.dense.base_layer.weight.quant_map": "model-00001-of-00002.safetensors",
75
+ "transformer.h.10.self_attention.dense.base_layer.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
76
+ "transformer.h.10.self_attention.dense.lora_A.default.weight": "model-00001-of-00002.safetensors",
77
+ "transformer.h.10.self_attention.dense.lora_B.default.weight": "model-00001-of-00002.safetensors",
78
+ "transformer.h.10.self_attention.query_key_value.base_layer.weight": "model-00001-of-00002.safetensors",
79
+ "transformer.h.10.self_attention.query_key_value.base_layer.weight.absmax": "model-00001-of-00002.safetensors",
80
+ "transformer.h.10.self_attention.query_key_value.base_layer.weight.quant_map": "model-00001-of-00002.safetensors",
81
+ "transformer.h.10.self_attention.query_key_value.base_layer.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
82
+ "transformer.h.10.self_attention.query_key_value.lora_A.default.weight": "model-00001-of-00002.safetensors",
83
+ "transformer.h.10.self_attention.query_key_value.lora_B.default.weight": "model-00001-of-00002.safetensors",
84
+ "transformer.h.11.input_layernorm.bias": "model-00001-of-00002.safetensors",
85
+ "transformer.h.11.input_layernorm.weight": "model-00001-of-00002.safetensors",
86
+ "transformer.h.11.mlp.dense_4h_to_h.base_layer.weight": "model-00001-of-00002.safetensors",
87
+ "transformer.h.11.mlp.dense_4h_to_h.base_layer.weight.absmax": "model-00001-of-00002.safetensors",
88
+ "transformer.h.11.mlp.dense_4h_to_h.base_layer.weight.quant_map": "model-00001-of-00002.safetensors",
89
+ "transformer.h.11.mlp.dense_4h_to_h.base_layer.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
90
+ "transformer.h.11.mlp.dense_4h_to_h.lora_A.default.weight": "model-00001-of-00002.safetensors",
91
+ "transformer.h.11.mlp.dense_4h_to_h.lora_B.default.weight": "model-00001-of-00002.safetensors",
92
+ "transformer.h.11.mlp.dense_h_to_4h.base_layer.weight": "model-00001-of-00002.safetensors",
93
+ "transformer.h.11.mlp.dense_h_to_4h.base_layer.weight.absmax": "model-00001-of-00002.safetensors",
94
+ "transformer.h.11.mlp.dense_h_to_4h.base_layer.weight.quant_map": "model-00001-of-00002.safetensors",
95
+ "transformer.h.11.mlp.dense_h_to_4h.base_layer.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
96
+ "transformer.h.11.mlp.dense_h_to_4h.lora_A.default.weight": "model-00001-of-00002.safetensors",
97
+ "transformer.h.11.mlp.dense_h_to_4h.lora_B.default.weight": "model-00001-of-00002.safetensors",
98
+ "transformer.h.11.self_attention.dense.base_layer.weight": "model-00001-of-00002.safetensors",
99
+ "transformer.h.11.self_attention.dense.base_layer.weight.absmax": "model-00001-of-00002.safetensors",
100
+ "transformer.h.11.self_attention.dense.base_layer.weight.quant_map": "model-00001-of-00002.safetensors",
101
+ "transformer.h.11.self_attention.dense.base_layer.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
102
+ "transformer.h.11.self_attention.dense.lora_A.default.weight": "model-00001-of-00002.safetensors",
103
+ "transformer.h.11.self_attention.dense.lora_B.default.weight": "model-00001-of-00002.safetensors",
104
+ "transformer.h.11.self_attention.query_key_value.base_layer.weight": "model-00001-of-00002.safetensors",
105
+ "transformer.h.11.self_attention.query_key_value.base_layer.weight.absmax": "model-00001-of-00002.safetensors",
106
+ "transformer.h.11.self_attention.query_key_value.base_layer.weight.quant_map": "model-00001-of-00002.safetensors",
107
+ "transformer.h.11.self_attention.query_key_value.base_layer.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
108
+ "transformer.h.11.self_attention.query_key_value.lora_A.default.weight": "model-00001-of-00002.safetensors",
109
+ "transformer.h.11.self_attention.query_key_value.lora_B.default.weight": "model-00001-of-00002.safetensors",
110
+ "transformer.h.12.input_layernorm.bias": "model-00001-of-00002.safetensors",
111
+ "transformer.h.12.input_layernorm.weight": "model-00001-of-00002.safetensors",
112
+ "transformer.h.12.mlp.dense_4h_to_h.base_layer.weight": "model-00001-of-00002.safetensors",
113
+ "transformer.h.12.mlp.dense_4h_to_h.base_layer.weight.absmax": "model-00001-of-00002.safetensors",
114
+ "transformer.h.12.mlp.dense_4h_to_h.base_layer.weight.quant_map": "model-00001-of-00002.safetensors",
115
+ "transformer.h.12.mlp.dense_4h_to_h.base_layer.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
116
+ "transformer.h.12.mlp.dense_4h_to_h.lora_A.default.weight": "model-00001-of-00002.safetensors",
117
+ "transformer.h.12.mlp.dense_4h_to_h.lora_B.default.weight": "model-00001-of-00002.safetensors",
118
+ "transformer.h.12.mlp.dense_h_to_4h.base_layer.weight": "model-00001-of-00002.safetensors",
119
+ "transformer.h.12.mlp.dense_h_to_4h.base_layer.weight.absmax": "model-00001-of-00002.safetensors",
120
+ "transformer.h.12.mlp.dense_h_to_4h.base_layer.weight.quant_map": "model-00001-of-00002.safetensors",
121
+ "transformer.h.12.mlp.dense_h_to_4h.base_layer.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
122
+ "transformer.h.12.mlp.dense_h_to_4h.lora_A.default.weight": "model-00001-of-00002.safetensors",
123
+ "transformer.h.12.mlp.dense_h_to_4h.lora_B.default.weight": "model-00001-of-00002.safetensors",
124
+ "transformer.h.12.self_attention.dense.base_layer.weight": "model-00001-of-00002.safetensors",
125
+ "transformer.h.12.self_attention.dense.base_layer.weight.absmax": "model-00001-of-00002.safetensors",
126
+ "transformer.h.12.self_attention.dense.base_layer.weight.quant_map": "model-00001-of-00002.safetensors",
127
+ "transformer.h.12.self_attention.dense.base_layer.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
128
+ "transformer.h.12.self_attention.dense.lora_A.default.weight": "model-00001-of-00002.safetensors",
129
+ "transformer.h.12.self_attention.dense.lora_B.default.weight": "model-00001-of-00002.safetensors",
130
+ "transformer.h.12.self_attention.query_key_value.base_layer.weight": "model-00001-of-00002.safetensors",
131
+ "transformer.h.12.self_attention.query_key_value.base_layer.weight.absmax": "model-00001-of-00002.safetensors",
132
+ "transformer.h.12.self_attention.query_key_value.base_layer.weight.quant_map": "model-00001-of-00002.safetensors",
133
+ "transformer.h.12.self_attention.query_key_value.base_layer.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
134
+ "transformer.h.12.self_attention.query_key_value.lora_A.default.weight": "model-00001-of-00002.safetensors",
135
+ "transformer.h.12.self_attention.query_key_value.lora_B.default.weight": "model-00001-of-00002.safetensors",
136
+ "transformer.h.13.input_layernorm.bias": "model-00001-of-00002.safetensors",
137
+ "transformer.h.13.input_layernorm.weight": "model-00001-of-00002.safetensors",
138
+ "transformer.h.13.mlp.dense_4h_to_h.base_layer.weight": "model-00001-of-00002.safetensors",
139
+ "transformer.h.13.mlp.dense_4h_to_h.base_layer.weight.absmax": "model-00001-of-00002.safetensors",
140
+ "transformer.h.13.mlp.dense_4h_to_h.base_layer.weight.quant_map": "model-00001-of-00002.safetensors",
141
+ "transformer.h.13.mlp.dense_4h_to_h.base_layer.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
142
+ "transformer.h.13.mlp.dense_4h_to_h.lora_A.default.weight": "model-00001-of-00002.safetensors",
143
+ "transformer.h.13.mlp.dense_4h_to_h.lora_B.default.weight": "model-00001-of-00002.safetensors",
144
+ "transformer.h.13.mlp.dense_h_to_4h.base_layer.weight": "model-00001-of-00002.safetensors",
145
+ "transformer.h.13.mlp.dense_h_to_4h.base_layer.weight.absmax": "model-00001-of-00002.safetensors",
146
+ "transformer.h.13.mlp.dense_h_to_4h.base_layer.weight.quant_map": "model-00001-of-00002.safetensors",
147
+ "transformer.h.13.mlp.dense_h_to_4h.base_layer.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
148
+ "transformer.h.13.mlp.dense_h_to_4h.lora_A.default.weight": "model-00001-of-00002.safetensors",
149
+ "transformer.h.13.mlp.dense_h_to_4h.lora_B.default.weight": "model-00001-of-00002.safetensors",
150
+ "transformer.h.13.self_attention.dense.base_layer.weight": "model-00001-of-00002.safetensors",
151
+ "transformer.h.13.self_attention.dense.base_layer.weight.absmax": "model-00001-of-00002.safetensors",
152
+ "transformer.h.13.self_attention.dense.base_layer.weight.quant_map": "model-00001-of-00002.safetensors",
153
+ "transformer.h.13.self_attention.dense.base_layer.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
154
+ "transformer.h.13.self_attention.dense.lora_A.default.weight": "model-00001-of-00002.safetensors",
155
+ "transformer.h.13.self_attention.dense.lora_B.default.weight": "model-00001-of-00002.safetensors",
156
+ "transformer.h.13.self_attention.query_key_value.base_layer.weight": "model-00001-of-00002.safetensors",
157
+ "transformer.h.13.self_attention.query_key_value.base_layer.weight.absmax": "model-00001-of-00002.safetensors",
158
+ "transformer.h.13.self_attention.query_key_value.base_layer.weight.quant_map": "model-00001-of-00002.safetensors",
159
+ "transformer.h.13.self_attention.query_key_value.base_layer.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
160
+ "transformer.h.13.self_attention.query_key_value.lora_A.default.weight": "model-00001-of-00002.safetensors",
161
+ "transformer.h.13.self_attention.query_key_value.lora_B.default.weight": "model-00001-of-00002.safetensors",
162
+ "transformer.h.14.input_layernorm.bias": "model-00001-of-00002.safetensors",
163
+ "transformer.h.14.input_layernorm.weight": "model-00001-of-00002.safetensors",
164
+ "transformer.h.14.mlp.dense_4h_to_h.base_layer.weight": "model-00001-of-00002.safetensors",
165
+ "transformer.h.14.mlp.dense_4h_to_h.base_layer.weight.absmax": "model-00001-of-00002.safetensors",
166
+ "transformer.h.14.mlp.dense_4h_to_h.base_layer.weight.quant_map": "model-00001-of-00002.safetensors",
167
+ "transformer.h.14.mlp.dense_4h_to_h.base_layer.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
168
+ "transformer.h.14.mlp.dense_4h_to_h.lora_A.default.weight": "model-00001-of-00002.safetensors",
169
+ "transformer.h.14.mlp.dense_4h_to_h.lora_B.default.weight": "model-00001-of-00002.safetensors",
170
+ "transformer.h.14.mlp.dense_h_to_4h.base_layer.weight": "model-00001-of-00002.safetensors",
171
+ "transformer.h.14.mlp.dense_h_to_4h.base_layer.weight.absmax": "model-00001-of-00002.safetensors",
172
+ "transformer.h.14.mlp.dense_h_to_4h.base_layer.weight.quant_map": "model-00001-of-00002.safetensors",
173
+ "transformer.h.14.mlp.dense_h_to_4h.base_layer.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
174
+ "transformer.h.14.mlp.dense_h_to_4h.lora_A.default.weight": "model-00001-of-00002.safetensors",
175
+ "transformer.h.14.mlp.dense_h_to_4h.lora_B.default.weight": "model-00001-of-00002.safetensors",
176
+ "transformer.h.14.self_attention.dense.base_layer.weight": "model-00001-of-00002.safetensors",
177
+ "transformer.h.14.self_attention.dense.base_layer.weight.absmax": "model-00001-of-00002.safetensors",
178
+ "transformer.h.14.self_attention.dense.base_layer.weight.quant_map": "model-00001-of-00002.safetensors",
179
+ "transformer.h.14.self_attention.dense.base_layer.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
180
+ "transformer.h.14.self_attention.dense.lora_A.default.weight": "model-00001-of-00002.safetensors",
181
+ "transformer.h.14.self_attention.dense.lora_B.default.weight": "model-00001-of-00002.safetensors",
182
+ "transformer.h.14.self_attention.query_key_value.base_layer.weight": "model-00001-of-00002.safetensors",
183
+ "transformer.h.14.self_attention.query_key_value.base_layer.weight.absmax": "model-00001-of-00002.safetensors",
184
+ "transformer.h.14.self_attention.query_key_value.base_layer.weight.quant_map": "model-00001-of-00002.safetensors",
185
+ "transformer.h.14.self_attention.query_key_value.base_layer.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
186
+ "transformer.h.14.self_attention.query_key_value.lora_A.default.weight": "model-00001-of-00002.safetensors",
187
+ "transformer.h.14.self_attention.query_key_value.lora_B.default.weight": "model-00001-of-00002.safetensors",
188
+ "transformer.h.15.input_layernorm.bias": "model-00001-of-00002.safetensors",
189
+ "transformer.h.15.input_layernorm.weight": "model-00001-of-00002.safetensors",
190
+ "transformer.h.15.mlp.dense_4h_to_h.base_layer.weight": "model-00001-of-00002.safetensors",
191
+ "transformer.h.15.mlp.dense_4h_to_h.base_layer.weight.absmax": "model-00001-of-00002.safetensors",
192
+ "transformer.h.15.mlp.dense_4h_to_h.base_layer.weight.quant_map": "model-00001-of-00002.safetensors",
193
+ "transformer.h.15.mlp.dense_4h_to_h.base_layer.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
194
+ "transformer.h.15.mlp.dense_4h_to_h.lora_A.default.weight": "model-00001-of-00002.safetensors",
195
+ "transformer.h.15.mlp.dense_4h_to_h.lora_B.default.weight": "model-00001-of-00002.safetensors",
196
+ "transformer.h.15.mlp.dense_h_to_4h.base_layer.weight": "model-00001-of-00002.safetensors",
197
+ "transformer.h.15.mlp.dense_h_to_4h.base_layer.weight.absmax": "model-00001-of-00002.safetensors",
198
+ "transformer.h.15.mlp.dense_h_to_4h.base_layer.weight.quant_map": "model-00001-of-00002.safetensors",
199
+ "transformer.h.15.mlp.dense_h_to_4h.base_layer.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
200
+ "transformer.h.15.mlp.dense_h_to_4h.lora_A.default.weight": "model-00001-of-00002.safetensors",
201
+ "transformer.h.15.mlp.dense_h_to_4h.lora_B.default.weight": "model-00001-of-00002.safetensors",
202
+ "transformer.h.15.self_attention.dense.base_layer.weight": "model-00001-of-00002.safetensors",
203
+ "transformer.h.15.self_attention.dense.base_layer.weight.absmax": "model-00001-of-00002.safetensors",
204
+ "transformer.h.15.self_attention.dense.base_layer.weight.quant_map": "model-00001-of-00002.safetensors",
205
+ "transformer.h.15.self_attention.dense.base_layer.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
206
+ "transformer.h.15.self_attention.dense.lora_A.default.weight": "model-00001-of-00002.safetensors",
207
+ "transformer.h.15.self_attention.dense.lora_B.default.weight": "model-00001-of-00002.safetensors",
208
+ "transformer.h.15.self_attention.query_key_value.base_layer.weight": "model-00001-of-00002.safetensors",
209
+ "transformer.h.15.self_attention.query_key_value.base_layer.weight.absmax": "model-00001-of-00002.safetensors",
210
+ "transformer.h.15.self_attention.query_key_value.base_layer.weight.quant_map": "model-00001-of-00002.safetensors",
211
+ "transformer.h.15.self_attention.query_key_value.base_layer.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
212
+ "transformer.h.15.self_attention.query_key_value.lora_A.default.weight": "model-00001-of-00002.safetensors",
213
+ "transformer.h.15.self_attention.query_key_value.lora_B.default.weight": "model-00001-of-00002.safetensors",
214
+ "transformer.h.16.input_layernorm.bias": "model-00001-of-00002.safetensors",
215
+ "transformer.h.16.input_layernorm.weight": "model-00001-of-00002.safetensors",
216
+ "transformer.h.16.mlp.dense_4h_to_h.base_layer.weight": "model-00001-of-00002.safetensors",
217
+ "transformer.h.16.mlp.dense_4h_to_h.base_layer.weight.absmax": "model-00001-of-00002.safetensors",
218
+ "transformer.h.16.mlp.dense_4h_to_h.base_layer.weight.quant_map": "model-00001-of-00002.safetensors",
219
+ "transformer.h.16.mlp.dense_4h_to_h.base_layer.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
220
+ "transformer.h.16.mlp.dense_4h_to_h.lora_A.default.weight": "model-00001-of-00002.safetensors",
221
+ "transformer.h.16.mlp.dense_4h_to_h.lora_B.default.weight": "model-00001-of-00002.safetensors",
222
+ "transformer.h.16.mlp.dense_h_to_4h.base_layer.weight": "model-00001-of-00002.safetensors",
223
+ "transformer.h.16.mlp.dense_h_to_4h.base_layer.weight.absmax": "model-00001-of-00002.safetensors",
224
+ "transformer.h.16.mlp.dense_h_to_4h.base_layer.weight.quant_map": "model-00001-of-00002.safetensors",
225
+ "transformer.h.16.mlp.dense_h_to_4h.base_layer.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
226
+ "transformer.h.16.mlp.dense_h_to_4h.lora_A.default.weight": "model-00001-of-00002.safetensors",
227
+ "transformer.h.16.mlp.dense_h_to_4h.lora_B.default.weight": "model-00001-of-00002.safetensors",
228
+ "transformer.h.16.self_attention.dense.base_layer.weight": "model-00001-of-00002.safetensors",
229
+ "transformer.h.16.self_attention.dense.base_layer.weight.absmax": "model-00001-of-00002.safetensors",
230
+ "transformer.h.16.self_attention.dense.base_layer.weight.quant_map": "model-00001-of-00002.safetensors",
231
+ "transformer.h.16.self_attention.dense.base_layer.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
232
+ "transformer.h.16.self_attention.dense.lora_A.default.weight": "model-00001-of-00002.safetensors",
233
+ "transformer.h.16.self_attention.dense.lora_B.default.weight": "model-00001-of-00002.safetensors",
234
+ "transformer.h.16.self_attention.query_key_value.base_layer.weight": "model-00001-of-00002.safetensors",
235
+ "transformer.h.16.self_attention.query_key_value.base_layer.weight.absmax": "model-00001-of-00002.safetensors",
236
+ "transformer.h.16.self_attention.query_key_value.base_layer.weight.quant_map": "model-00001-of-00002.safetensors",
237
+ "transformer.h.16.self_attention.query_key_value.base_layer.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
238
+ "transformer.h.16.self_attention.query_key_value.lora_A.default.weight": "model-00001-of-00002.safetensors",
239
+ "transformer.h.16.self_attention.query_key_value.lora_B.default.weight": "model-00001-of-00002.safetensors",
240
+ "transformer.h.17.input_layernorm.bias": "model-00001-of-00002.safetensors",
241
+ "transformer.h.17.input_layernorm.weight": "model-00001-of-00002.safetensors",
242
+ "transformer.h.17.mlp.dense_4h_to_h.base_layer.weight": "model-00001-of-00002.safetensors",
243
+ "transformer.h.17.mlp.dense_4h_to_h.base_layer.weight.absmax": "model-00001-of-00002.safetensors",
244
+ "transformer.h.17.mlp.dense_4h_to_h.base_layer.weight.quant_map": "model-00001-of-00002.safetensors",
245
+ "transformer.h.17.mlp.dense_4h_to_h.base_layer.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
246
+ "transformer.h.17.mlp.dense_4h_to_h.lora_A.default.weight": "model-00001-of-00002.safetensors",
247
+ "transformer.h.17.mlp.dense_4h_to_h.lora_B.default.weight": "model-00001-of-00002.safetensors",
248
+ "transformer.h.17.mlp.dense_h_to_4h.base_layer.weight": "model-00001-of-00002.safetensors",
249
+ "transformer.h.17.mlp.dense_h_to_4h.base_layer.weight.absmax": "model-00001-of-00002.safetensors",
250
+ "transformer.h.17.mlp.dense_h_to_4h.base_layer.weight.quant_map": "model-00001-of-00002.safetensors",
251
+ "transformer.h.17.mlp.dense_h_to_4h.base_layer.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
252
+ "transformer.h.17.mlp.dense_h_to_4h.lora_A.default.weight": "model-00001-of-00002.safetensors",
253
+ "transformer.h.17.mlp.dense_h_to_4h.lora_B.default.weight": "model-00001-of-00002.safetensors",
254
+ "transformer.h.17.self_attention.dense.base_layer.weight": "model-00001-of-00002.safetensors",
255
+ "transformer.h.17.self_attention.dense.base_layer.weight.absmax": "model-00001-of-00002.safetensors",
256
+ "transformer.h.17.self_attention.dense.base_layer.weight.quant_map": "model-00001-of-00002.safetensors",
257
+ "transformer.h.17.self_attention.dense.base_layer.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
258
+ "transformer.h.17.self_attention.dense.lora_A.default.weight": "model-00001-of-00002.safetensors",
259
+ "transformer.h.17.self_attention.dense.lora_B.default.weight": "model-00001-of-00002.safetensors",
260
+ "transformer.h.17.self_attention.query_key_value.base_layer.weight": "model-00001-of-00002.safetensors",
261
+ "transformer.h.17.self_attention.query_key_value.base_layer.weight.absmax": "model-00001-of-00002.safetensors",
262
+ "transformer.h.17.self_attention.query_key_value.base_layer.weight.quant_map": "model-00001-of-00002.safetensors",
263
+ "transformer.h.17.self_attention.query_key_value.base_layer.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
264
+ "transformer.h.17.self_attention.query_key_value.lora_A.default.weight": "model-00001-of-00002.safetensors",
265
+ "transformer.h.17.self_attention.query_key_value.lora_B.default.weight": "model-00001-of-00002.safetensors",
266
+ "transformer.h.18.input_layernorm.bias": "model-00001-of-00002.safetensors",
267
+ "transformer.h.18.input_layernorm.weight": "model-00001-of-00002.safetensors",
268
+ "transformer.h.18.mlp.dense_4h_to_h.base_layer.weight": "model-00001-of-00002.safetensors",
269
+ "transformer.h.18.mlp.dense_4h_to_h.base_layer.weight.absmax": "model-00001-of-00002.safetensors",
270
+ "transformer.h.18.mlp.dense_4h_to_h.base_layer.weight.quant_map": "model-00001-of-00002.safetensors",
271
+ "transformer.h.18.mlp.dense_4h_to_h.base_layer.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
272
+ "transformer.h.18.mlp.dense_4h_to_h.lora_A.default.weight": "model-00001-of-00002.safetensors",
273
+ "transformer.h.18.mlp.dense_4h_to_h.lora_B.default.weight": "model-00001-of-00002.safetensors",
274
+ "transformer.h.18.mlp.dense_h_to_4h.base_layer.weight": "model-00001-of-00002.safetensors",
275
+ "transformer.h.18.mlp.dense_h_to_4h.base_layer.weight.absmax": "model-00001-of-00002.safetensors",
276
+ "transformer.h.18.mlp.dense_h_to_4h.base_layer.weight.quant_map": "model-00001-of-00002.safetensors",
277
+ "transformer.h.18.mlp.dense_h_to_4h.base_layer.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
278
+ "transformer.h.18.mlp.dense_h_to_4h.lora_A.default.weight": "model-00001-of-00002.safetensors",
279
+ "transformer.h.18.mlp.dense_h_to_4h.lora_B.default.weight": "model-00001-of-00002.safetensors",
280
+ "transformer.h.18.self_attention.dense.base_layer.weight": "model-00001-of-00002.safetensors",
281
+ "transformer.h.18.self_attention.dense.base_layer.weight.absmax": "model-00001-of-00002.safetensors",
282
+ "transformer.h.18.self_attention.dense.base_layer.weight.quant_map": "model-00001-of-00002.safetensors",
283
+ "transformer.h.18.self_attention.dense.base_layer.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
284
+ "transformer.h.18.self_attention.dense.lora_A.default.weight": "model-00001-of-00002.safetensors",
285
+ "transformer.h.18.self_attention.dense.lora_B.default.weight": "model-00001-of-00002.safetensors",
286
+ "transformer.h.18.self_attention.query_key_value.base_layer.weight": "model-00001-of-00002.safetensors",
287
+ "transformer.h.18.self_attention.query_key_value.base_layer.weight.absmax": "model-00001-of-00002.safetensors",
288
+ "transformer.h.18.self_attention.query_key_value.base_layer.weight.quant_map": "model-00001-of-00002.safetensors",
289
+ "transformer.h.18.self_attention.query_key_value.base_layer.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
290
+ "transformer.h.18.self_attention.query_key_value.lora_A.default.weight": "model-00001-of-00002.safetensors",
291
+ "transformer.h.18.self_attention.query_key_value.lora_B.default.weight": "model-00001-of-00002.safetensors",
292
+ "transformer.h.19.input_layernorm.bias": "model-00001-of-00002.safetensors",
293
+ "transformer.h.19.input_layernorm.weight": "model-00001-of-00002.safetensors",
294
+ "transformer.h.19.mlp.dense_4h_to_h.base_layer.weight": "model-00001-of-00002.safetensors",
295
+ "transformer.h.19.mlp.dense_4h_to_h.base_layer.weight.absmax": "model-00001-of-00002.safetensors",
296
+ "transformer.h.19.mlp.dense_4h_to_h.base_layer.weight.quant_map": "model-00001-of-00002.safetensors",
297
+ "transformer.h.19.mlp.dense_4h_to_h.base_layer.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
298
+ "transformer.h.19.mlp.dense_4h_to_h.lora_A.default.weight": "model-00001-of-00002.safetensors",
299
+ "transformer.h.19.mlp.dense_4h_to_h.lora_B.default.weight": "model-00001-of-00002.safetensors",
300
+ "transformer.h.19.mlp.dense_h_to_4h.base_layer.weight": "model-00001-of-00002.safetensors",
301
+ "transformer.h.19.mlp.dense_h_to_4h.base_layer.weight.absmax": "model-00001-of-00002.safetensors",
302
+ "transformer.h.19.mlp.dense_h_to_4h.base_layer.weight.quant_map": "model-00001-of-00002.safetensors",
303
+ "transformer.h.19.mlp.dense_h_to_4h.base_layer.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
304
+ "transformer.h.19.mlp.dense_h_to_4h.lora_A.default.weight": "model-00001-of-00002.safetensors",
305
+ "transformer.h.19.mlp.dense_h_to_4h.lora_B.default.weight": "model-00001-of-00002.safetensors",
306
+ "transformer.h.19.self_attention.dense.base_layer.weight": "model-00001-of-00002.safetensors",
307
+ "transformer.h.19.self_attention.dense.base_layer.weight.absmax": "model-00001-of-00002.safetensors",
308
+ "transformer.h.19.self_attention.dense.base_layer.weight.quant_map": "model-00001-of-00002.safetensors",
309
+ "transformer.h.19.self_attention.dense.base_layer.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
310
+ "transformer.h.19.self_attention.dense.lora_A.default.weight": "model-00001-of-00002.safetensors",
311
+ "transformer.h.19.self_attention.dense.lora_B.default.weight": "model-00001-of-00002.safetensors",
312
+ "transformer.h.19.self_attention.query_key_value.base_layer.weight": "model-00001-of-00002.safetensors",
313
+ "transformer.h.19.self_attention.query_key_value.base_layer.weight.absmax": "model-00001-of-00002.safetensors",
314
+ "transformer.h.19.self_attention.query_key_value.base_layer.weight.quant_map": "model-00001-of-00002.safetensors",
315
+ "transformer.h.19.self_attention.query_key_value.base_layer.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
316
+ "transformer.h.19.self_attention.query_key_value.lora_A.default.weight": "model-00001-of-00002.safetensors",
317
+ "transformer.h.19.self_attention.query_key_value.lora_B.default.weight": "model-00001-of-00002.safetensors",
318
+ "transformer.h.2.input_layernorm.bias": "model-00001-of-00002.safetensors",
319
+ "transformer.h.2.input_layernorm.weight": "model-00001-of-00002.safetensors",
320
+ "transformer.h.2.mlp.dense_4h_to_h.base_layer.weight": "model-00001-of-00002.safetensors",
321
+ "transformer.h.2.mlp.dense_4h_to_h.base_layer.weight.absmax": "model-00001-of-00002.safetensors",
322
+ "transformer.h.2.mlp.dense_4h_to_h.base_layer.weight.quant_map": "model-00001-of-00002.safetensors",
323
+ "transformer.h.2.mlp.dense_4h_to_h.base_layer.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
324
+ "transformer.h.2.mlp.dense_4h_to_h.lora_A.default.weight": "model-00001-of-00002.safetensors",
325
+ "transformer.h.2.mlp.dense_4h_to_h.lora_B.default.weight": "model-00001-of-00002.safetensors",
326
+ "transformer.h.2.mlp.dense_h_to_4h.base_layer.weight": "model-00001-of-00002.safetensors",
327
+ "transformer.h.2.mlp.dense_h_to_4h.base_layer.weight.absmax": "model-00001-of-00002.safetensors",
328
+ "transformer.h.2.mlp.dense_h_to_4h.base_layer.weight.quant_map": "model-00001-of-00002.safetensors",
329
+ "transformer.h.2.mlp.dense_h_to_4h.base_layer.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
330
+ "transformer.h.2.mlp.dense_h_to_4h.lora_A.default.weight": "model-00001-of-00002.safetensors",
331
+ "transformer.h.2.mlp.dense_h_to_4h.lora_B.default.weight": "model-00001-of-00002.safetensors",
332
+ "transformer.h.2.self_attention.dense.base_layer.weight": "model-00001-of-00002.safetensors",
333
+ "transformer.h.2.self_attention.dense.base_layer.weight.absmax": "model-00001-of-00002.safetensors",
334
+ "transformer.h.2.self_attention.dense.base_layer.weight.quant_map": "model-00001-of-00002.safetensors",
335
+ "transformer.h.2.self_attention.dense.base_layer.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
336
+ "transformer.h.2.self_attention.dense.lora_A.default.weight": "model-00001-of-00002.safetensors",
337
+ "transformer.h.2.self_attention.dense.lora_B.default.weight": "model-00001-of-00002.safetensors",
338
+ "transformer.h.2.self_attention.query_key_value.base_layer.weight": "model-00001-of-00002.safetensors",
339
+ "transformer.h.2.self_attention.query_key_value.base_layer.weight.absmax": "model-00001-of-00002.safetensors",
340
+ "transformer.h.2.self_attention.query_key_value.base_layer.weight.quant_map": "model-00001-of-00002.safetensors",
341
+ "transformer.h.2.self_attention.query_key_value.base_layer.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
342
+ "transformer.h.2.self_attention.query_key_value.lora_A.default.weight": "model-00001-of-00002.safetensors",
343
+ "transformer.h.2.self_attention.query_key_value.lora_B.default.weight": "model-00001-of-00002.safetensors",
344
+ "transformer.h.20.input_layernorm.bias": "model-00001-of-00002.safetensors",
345
+ "transformer.h.20.input_layernorm.weight": "model-00001-of-00002.safetensors",
346
+ "transformer.h.20.mlp.dense_4h_to_h.base_layer.weight": "model-00001-of-00002.safetensors",
347
+ "transformer.h.20.mlp.dense_4h_to_h.base_layer.weight.absmax": "model-00001-of-00002.safetensors",
348
+ "transformer.h.20.mlp.dense_4h_to_h.base_layer.weight.quant_map": "model-00001-of-00002.safetensors",
349
+ "transformer.h.20.mlp.dense_4h_to_h.base_layer.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
350
+ "transformer.h.20.mlp.dense_4h_to_h.lora_A.default.weight": "model-00001-of-00002.safetensors",
351
+ "transformer.h.20.mlp.dense_4h_to_h.lora_B.default.weight": "model-00001-of-00002.safetensors",
352
+ "transformer.h.20.mlp.dense_h_to_4h.base_layer.weight": "model-00001-of-00002.safetensors",
353
+ "transformer.h.20.mlp.dense_h_to_4h.base_layer.weight.absmax": "model-00001-of-00002.safetensors",
354
+ "transformer.h.20.mlp.dense_h_to_4h.base_layer.weight.quant_map": "model-00001-of-00002.safetensors",
355
+ "transformer.h.20.mlp.dense_h_to_4h.base_layer.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
356
+ "transformer.h.20.mlp.dense_h_to_4h.lora_A.default.weight": "model-00001-of-00002.safetensors",
357
+ "transformer.h.20.mlp.dense_h_to_4h.lora_B.default.weight": "model-00001-of-00002.safetensors",
358
+ "transformer.h.20.self_attention.dense.base_layer.weight": "model-00001-of-00002.safetensors",
359
+ "transformer.h.20.self_attention.dense.base_layer.weight.absmax": "model-00001-of-00002.safetensors",
360
+ "transformer.h.20.self_attention.dense.base_layer.weight.quant_map": "model-00001-of-00002.safetensors",
361
+ "transformer.h.20.self_attention.dense.base_layer.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
362
+ "transformer.h.20.self_attention.dense.lora_A.default.weight": "model-00001-of-00002.safetensors",
363
+ "transformer.h.20.self_attention.dense.lora_B.default.weight": "model-00001-of-00002.safetensors",
364
+ "transformer.h.20.self_attention.query_key_value.base_layer.weight": "model-00001-of-00002.safetensors",
365
+ "transformer.h.20.self_attention.query_key_value.base_layer.weight.absmax": "model-00001-of-00002.safetensors",
366
+ "transformer.h.20.self_attention.query_key_value.base_layer.weight.quant_map": "model-00001-of-00002.safetensors",
367
+ "transformer.h.20.self_attention.query_key_value.base_layer.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
368
+ "transformer.h.20.self_attention.query_key_value.lora_A.default.weight": "model-00001-of-00002.safetensors",
369
+ "transformer.h.20.self_attention.query_key_value.lora_B.default.weight": "model-00001-of-00002.safetensors",
370
+ "transformer.h.21.input_layernorm.bias": "model-00001-of-00002.safetensors",
371
+ "transformer.h.21.input_layernorm.weight": "model-00001-of-00002.safetensors",
372
+ "transformer.h.21.mlp.dense_4h_to_h.base_layer.weight": "model-00001-of-00002.safetensors",
373
+ "transformer.h.21.mlp.dense_4h_to_h.base_layer.weight.absmax": "model-00001-of-00002.safetensors",
374
+ "transformer.h.21.mlp.dense_4h_to_h.base_layer.weight.quant_map": "model-00001-of-00002.safetensors",
375
+ "transformer.h.21.mlp.dense_4h_to_h.base_layer.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
376
+ "transformer.h.21.mlp.dense_4h_to_h.lora_A.default.weight": "model-00001-of-00002.safetensors",
377
+ "transformer.h.21.mlp.dense_4h_to_h.lora_B.default.weight": "model-00001-of-00002.safetensors",
378
+ "transformer.h.21.mlp.dense_h_to_4h.base_layer.weight": "model-00001-of-00002.safetensors",
379
+ "transformer.h.21.mlp.dense_h_to_4h.base_layer.weight.absmax": "model-00001-of-00002.safetensors",
380
+ "transformer.h.21.mlp.dense_h_to_4h.base_layer.weight.quant_map": "model-00001-of-00002.safetensors",
381
+ "transformer.h.21.mlp.dense_h_to_4h.base_layer.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
382
+ "transformer.h.21.mlp.dense_h_to_4h.lora_A.default.weight": "model-00001-of-00002.safetensors",
383
+ "transformer.h.21.mlp.dense_h_to_4h.lora_B.default.weight": "model-00001-of-00002.safetensors",
384
+ "transformer.h.21.self_attention.dense.base_layer.weight": "model-00001-of-00002.safetensors",
385
+ "transformer.h.21.self_attention.dense.base_layer.weight.absmax": "model-00001-of-00002.safetensors",
386
+ "transformer.h.21.self_attention.dense.base_layer.weight.quant_map": "model-00001-of-00002.safetensors",
387
+ "transformer.h.21.self_attention.dense.base_layer.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
388
+ "transformer.h.21.self_attention.dense.lora_A.default.weight": "model-00001-of-00002.safetensors",
389
+ "transformer.h.21.self_attention.dense.lora_B.default.weight": "model-00001-of-00002.safetensors",
390
+ "transformer.h.21.self_attention.query_key_value.base_layer.weight": "model-00001-of-00002.safetensors",
391
+ "transformer.h.21.self_attention.query_key_value.base_layer.weight.absmax": "model-00001-of-00002.safetensors",
392
+ "transformer.h.21.self_attention.query_key_value.base_layer.weight.quant_map": "model-00001-of-00002.safetensors",
393
+ "transformer.h.21.self_attention.query_key_value.base_layer.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
394
+ "transformer.h.21.self_attention.query_key_value.lora_A.default.weight": "model-00001-of-00002.safetensors",
395
+ "transformer.h.21.self_attention.query_key_value.lora_B.default.weight": "model-00001-of-00002.safetensors",
396
+ "transformer.h.22.input_layernorm.bias": "model-00001-of-00002.safetensors",
397
+ "transformer.h.22.input_layernorm.weight": "model-00001-of-00002.safetensors",
398
+ "transformer.h.22.mlp.dense_4h_to_h.base_layer.weight": "model-00001-of-00002.safetensors",
399
+ "transformer.h.22.mlp.dense_4h_to_h.base_layer.weight.absmax": "model-00001-of-00002.safetensors",
400
+ "transformer.h.22.mlp.dense_4h_to_h.base_layer.weight.quant_map": "model-00001-of-00002.safetensors",
401
+ "transformer.h.22.mlp.dense_4h_to_h.base_layer.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
402
+ "transformer.h.22.mlp.dense_4h_to_h.lora_A.default.weight": "model-00001-of-00002.safetensors",
403
+ "transformer.h.22.mlp.dense_4h_to_h.lora_B.default.weight": "model-00001-of-00002.safetensors",
404
+ "transformer.h.22.mlp.dense_h_to_4h.base_layer.weight": "model-00001-of-00002.safetensors",
405
+ "transformer.h.22.mlp.dense_h_to_4h.base_layer.weight.absmax": "model-00001-of-00002.safetensors",
406
+ "transformer.h.22.mlp.dense_h_to_4h.base_layer.weight.quant_map": "model-00001-of-00002.safetensors",
407
+ "transformer.h.22.mlp.dense_h_to_4h.base_layer.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
408
+ "transformer.h.22.mlp.dense_h_to_4h.lora_A.default.weight": "model-00001-of-00002.safetensors",
409
+ "transformer.h.22.mlp.dense_h_to_4h.lora_B.default.weight": "model-00001-of-00002.safetensors",
410
+ "transformer.h.22.self_attention.dense.base_layer.weight": "model-00001-of-00002.safetensors",
411
+ "transformer.h.22.self_attention.dense.base_layer.weight.absmax": "model-00001-of-00002.safetensors",
412
+ "transformer.h.22.self_attention.dense.base_layer.weight.quant_map": "model-00001-of-00002.safetensors",
413
+ "transformer.h.22.self_attention.dense.base_layer.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
414
+ "transformer.h.22.self_attention.dense.lora_A.default.weight": "model-00001-of-00002.safetensors",
415
+ "transformer.h.22.self_attention.dense.lora_B.default.weight": "model-00001-of-00002.safetensors",
416
+ "transformer.h.22.self_attention.query_key_value.base_layer.weight": "model-00001-of-00002.safetensors",
417
+ "transformer.h.22.self_attention.query_key_value.base_layer.weight.absmax": "model-00001-of-00002.safetensors",
418
+ "transformer.h.22.self_attention.query_key_value.base_layer.weight.quant_map": "model-00001-of-00002.safetensors",
419
+ "transformer.h.22.self_attention.query_key_value.base_layer.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
420
+ "transformer.h.22.self_attention.query_key_value.lora_A.default.weight": "model-00001-of-00002.safetensors",
421
+ "transformer.h.22.self_attention.query_key_value.lora_B.default.weight": "model-00001-of-00002.safetensors",
422
+ "transformer.h.23.input_layernorm.bias": "model-00001-of-00002.safetensors",
423
+ "transformer.h.23.input_layernorm.weight": "model-00001-of-00002.safetensors",
424
+ "transformer.h.23.mlp.dense_4h_to_h.base_layer.weight": "model-00001-of-00002.safetensors",
425
+ "transformer.h.23.mlp.dense_4h_to_h.base_layer.weight.absmax": "model-00001-of-00002.safetensors",
426
+ "transformer.h.23.mlp.dense_4h_to_h.base_layer.weight.quant_map": "model-00001-of-00002.safetensors",
427
+ "transformer.h.23.mlp.dense_4h_to_h.base_layer.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
428
+ "transformer.h.23.mlp.dense_4h_to_h.lora_A.default.weight": "model-00001-of-00002.safetensors",
429
+ "transformer.h.23.mlp.dense_4h_to_h.lora_B.default.weight": "model-00001-of-00002.safetensors",
430
+ "transformer.h.23.mlp.dense_h_to_4h.base_layer.weight": "model-00001-of-00002.safetensors",
431
+ "transformer.h.23.mlp.dense_h_to_4h.base_layer.weight.absmax": "model-00001-of-00002.safetensors",
432
+ "transformer.h.23.mlp.dense_h_to_4h.base_layer.weight.quant_map": "model-00001-of-00002.safetensors",
433
+ "transformer.h.23.mlp.dense_h_to_4h.base_layer.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
434
+ "transformer.h.23.mlp.dense_h_to_4h.lora_A.default.weight": "model-00001-of-00002.safetensors",
435
+ "transformer.h.23.mlp.dense_h_to_4h.lora_B.default.weight": "model-00001-of-00002.safetensors",
436
+ "transformer.h.23.self_attention.dense.base_layer.weight": "model-00001-of-00002.safetensors",
437
+ "transformer.h.23.self_attention.dense.base_layer.weight.absmax": "model-00001-of-00002.safetensors",
438
+ "transformer.h.23.self_attention.dense.base_layer.weight.quant_map": "model-00001-of-00002.safetensors",
439
+ "transformer.h.23.self_attention.dense.base_layer.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
440
+ "transformer.h.23.self_attention.dense.lora_A.default.weight": "model-00001-of-00002.safetensors",
441
+ "transformer.h.23.self_attention.dense.lora_B.default.weight": "model-00001-of-00002.safetensors",
442
+ "transformer.h.23.self_attention.query_key_value.base_layer.weight": "model-00001-of-00002.safetensors",
443
+ "transformer.h.23.self_attention.query_key_value.base_layer.weight.absmax": "model-00001-of-00002.safetensors",
444
+ "transformer.h.23.self_attention.query_key_value.base_layer.weight.quant_map": "model-00001-of-00002.safetensors",
445
+ "transformer.h.23.self_attention.query_key_value.base_layer.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
446
+ "transformer.h.23.self_attention.query_key_value.lora_A.default.weight": "model-00001-of-00002.safetensors",
447
+ "transformer.h.23.self_attention.query_key_value.lora_B.default.weight": "model-00001-of-00002.safetensors",
448
+ "transformer.h.24.input_layernorm.bias": "model-00001-of-00002.safetensors",
449
+ "transformer.h.24.input_layernorm.weight": "model-00001-of-00002.safetensors",
450
+ "transformer.h.24.mlp.dense_4h_to_h.base_layer.weight": "model-00001-of-00002.safetensors",
451
+ "transformer.h.24.mlp.dense_4h_to_h.base_layer.weight.absmax": "model-00001-of-00002.safetensors",
452
+ "transformer.h.24.mlp.dense_4h_to_h.base_layer.weight.quant_map": "model-00001-of-00002.safetensors",
453
+ "transformer.h.24.mlp.dense_4h_to_h.base_layer.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
454
+ "transformer.h.24.mlp.dense_4h_to_h.lora_A.default.weight": "model-00001-of-00002.safetensors",
455
+ "transformer.h.24.mlp.dense_4h_to_h.lora_B.default.weight": "model-00001-of-00002.safetensors",
456
+ "transformer.h.24.mlp.dense_h_to_4h.base_layer.weight": "model-00001-of-00002.safetensors",
457
+ "transformer.h.24.mlp.dense_h_to_4h.base_layer.weight.absmax": "model-00001-of-00002.safetensors",
458
+ "transformer.h.24.mlp.dense_h_to_4h.base_layer.weight.quant_map": "model-00001-of-00002.safetensors",
459
+ "transformer.h.24.mlp.dense_h_to_4h.base_layer.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
460
+ "transformer.h.24.mlp.dense_h_to_4h.lora_A.default.weight": "model-00001-of-00002.safetensors",
461
+ "transformer.h.24.mlp.dense_h_to_4h.lora_B.default.weight": "model-00001-of-00002.safetensors",
462
+ "transformer.h.24.self_attention.dense.base_layer.weight": "model-00001-of-00002.safetensors",
463
+ "transformer.h.24.self_attention.dense.base_layer.weight.absmax": "model-00001-of-00002.safetensors",
464
+ "transformer.h.24.self_attention.dense.base_layer.weight.quant_map": "model-00001-of-00002.safetensors",
465
+ "transformer.h.24.self_attention.dense.base_layer.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
466
+ "transformer.h.24.self_attention.dense.lora_A.default.weight": "model-00001-of-00002.safetensors",
467
+ "transformer.h.24.self_attention.dense.lora_B.default.weight": "model-00001-of-00002.safetensors",
468
+ "transformer.h.24.self_attention.query_key_value.base_layer.weight": "model-00001-of-00002.safetensors",
469
+ "transformer.h.24.self_attention.query_key_value.base_layer.weight.absmax": "model-00001-of-00002.safetensors",
470
+ "transformer.h.24.self_attention.query_key_value.base_layer.weight.quant_map": "model-00001-of-00002.safetensors",
471
+ "transformer.h.24.self_attention.query_key_value.base_layer.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
472
+ "transformer.h.24.self_attention.query_key_value.lora_A.default.weight": "model-00001-of-00002.safetensors",
473
+ "transformer.h.24.self_attention.query_key_value.lora_B.default.weight": "model-00001-of-00002.safetensors",
474
+ "transformer.h.25.input_layernorm.bias": "model-00001-of-00002.safetensors",
475
+ "transformer.h.25.input_layernorm.weight": "model-00001-of-00002.safetensors",
476
+ "transformer.h.25.mlp.dense_4h_to_h.base_layer.weight": "model-00001-of-00002.safetensors",
477
+ "transformer.h.25.mlp.dense_4h_to_h.base_layer.weight.absmax": "model-00001-of-00002.safetensors",
478
+ "transformer.h.25.mlp.dense_4h_to_h.base_layer.weight.quant_map": "model-00001-of-00002.safetensors",
479
+ "transformer.h.25.mlp.dense_4h_to_h.base_layer.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
480
+ "transformer.h.25.mlp.dense_4h_to_h.lora_A.default.weight": "model-00001-of-00002.safetensors",
481
+ "transformer.h.25.mlp.dense_4h_to_h.lora_B.default.weight": "model-00001-of-00002.safetensors",
482
+ "transformer.h.25.mlp.dense_h_to_4h.base_layer.weight": "model-00001-of-00002.safetensors",
483
+ "transformer.h.25.mlp.dense_h_to_4h.base_layer.weight.absmax": "model-00001-of-00002.safetensors",
484
+ "transformer.h.25.mlp.dense_h_to_4h.base_layer.weight.quant_map": "model-00001-of-00002.safetensors",
485
+ "transformer.h.25.mlp.dense_h_to_4h.base_layer.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
486
+ "transformer.h.25.mlp.dense_h_to_4h.lora_A.default.weight": "model-00001-of-00002.safetensors",
487
+ "transformer.h.25.mlp.dense_h_to_4h.lora_B.default.weight": "model-00001-of-00002.safetensors",
488
+ "transformer.h.25.self_attention.dense.base_layer.weight": "model-00001-of-00002.safetensors",
489
+ "transformer.h.25.self_attention.dense.base_layer.weight.absmax": "model-00001-of-00002.safetensors",
490
+ "transformer.h.25.self_attention.dense.base_layer.weight.quant_map": "model-00001-of-00002.safetensors",
491
+ "transformer.h.25.self_attention.dense.base_layer.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
492
+ "transformer.h.25.self_attention.dense.lora_A.default.weight": "model-00001-of-00002.safetensors",
493
+ "transformer.h.25.self_attention.dense.lora_B.default.weight": "model-00001-of-00002.safetensors",
494
+ "transformer.h.25.self_attention.query_key_value.base_layer.weight": "model-00001-of-00002.safetensors",
495
+ "transformer.h.25.self_attention.query_key_value.base_layer.weight.absmax": "model-00001-of-00002.safetensors",
496
+ "transformer.h.25.self_attention.query_key_value.base_layer.weight.quant_map": "model-00001-of-00002.safetensors",
497
+ "transformer.h.25.self_attention.query_key_value.base_layer.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
498
+ "transformer.h.25.self_attention.query_key_value.lora_A.default.weight": "model-00001-of-00002.safetensors",
499
+ "transformer.h.25.self_attention.query_key_value.lora_B.default.weight": "model-00001-of-00002.safetensors",
500
+ "transformer.h.26.input_layernorm.bias": "model-00001-of-00002.safetensors",
501
+ "transformer.h.26.input_layernorm.weight": "model-00001-of-00002.safetensors",
502
+ "transformer.h.26.mlp.dense_4h_to_h.base_layer.weight": "model-00001-of-00002.safetensors",
503
+ "transformer.h.26.mlp.dense_4h_to_h.base_layer.weight.absmax": "model-00001-of-00002.safetensors",
504
+ "transformer.h.26.mlp.dense_4h_to_h.base_layer.weight.quant_map": "model-00001-of-00002.safetensors",
505
+ "transformer.h.26.mlp.dense_4h_to_h.base_layer.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
506
+ "transformer.h.26.mlp.dense_4h_to_h.lora_A.default.weight": "model-00001-of-00002.safetensors",
507
+ "transformer.h.26.mlp.dense_4h_to_h.lora_B.default.weight": "model-00001-of-00002.safetensors",
508
+ "transformer.h.26.mlp.dense_h_to_4h.base_layer.weight": "model-00001-of-00002.safetensors",
509
+ "transformer.h.26.mlp.dense_h_to_4h.base_layer.weight.absmax": "model-00001-of-00002.safetensors",
510
+ "transformer.h.26.mlp.dense_h_to_4h.base_layer.weight.quant_map": "model-00001-of-00002.safetensors",
511
+ "transformer.h.26.mlp.dense_h_to_4h.base_layer.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
512
+ "transformer.h.26.mlp.dense_h_to_4h.lora_A.default.weight": "model-00001-of-00002.safetensors",
513
+ "transformer.h.26.mlp.dense_h_to_4h.lora_B.default.weight": "model-00001-of-00002.safetensors",
514
+ "transformer.h.26.self_attention.dense.base_layer.weight": "model-00001-of-00002.safetensors",
515
+ "transformer.h.26.self_attention.dense.base_layer.weight.absmax": "model-00001-of-00002.safetensors",
516
+ "transformer.h.26.self_attention.dense.base_layer.weight.quant_map": "model-00001-of-00002.safetensors",
517
+ "transformer.h.26.self_attention.dense.base_layer.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
518
+ "transformer.h.26.self_attention.dense.lora_A.default.weight": "model-00001-of-00002.safetensors",
519
+ "transformer.h.26.self_attention.dense.lora_B.default.weight": "model-00001-of-00002.safetensors",
520
+ "transformer.h.26.self_attention.query_key_value.base_layer.weight": "model-00001-of-00002.safetensors",
521
+ "transformer.h.26.self_attention.query_key_value.base_layer.weight.absmax": "model-00001-of-00002.safetensors",
522
+ "transformer.h.26.self_attention.query_key_value.base_layer.weight.quant_map": "model-00001-of-00002.safetensors",
523
+ "transformer.h.26.self_attention.query_key_value.base_layer.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
524
+ "transformer.h.26.self_attention.query_key_value.lora_A.default.weight": "model-00001-of-00002.safetensors",
525
+ "transformer.h.26.self_attention.query_key_value.lora_B.default.weight": "model-00001-of-00002.safetensors",
526
+ "transformer.h.27.input_layernorm.bias": "model-00001-of-00002.safetensors",
527
+ "transformer.h.27.input_layernorm.weight": "model-00001-of-00002.safetensors",
528
+ "transformer.h.27.mlp.dense_4h_to_h.base_layer.weight": "model-00001-of-00002.safetensors",
529
+ "transformer.h.27.mlp.dense_4h_to_h.base_layer.weight.absmax": "model-00001-of-00002.safetensors",
530
+ "transformer.h.27.mlp.dense_4h_to_h.base_layer.weight.quant_map": "model-00001-of-00002.safetensors",
531
+ "transformer.h.27.mlp.dense_4h_to_h.base_layer.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
532
+ "transformer.h.27.mlp.dense_4h_to_h.lora_A.default.weight": "model-00001-of-00002.safetensors",
533
+ "transformer.h.27.mlp.dense_4h_to_h.lora_B.default.weight": "model-00001-of-00002.safetensors",
534
+ "transformer.h.27.mlp.dense_h_to_4h.base_layer.weight": "model-00001-of-00002.safetensors",
535
+ "transformer.h.27.mlp.dense_h_to_4h.base_layer.weight.absmax": "model-00001-of-00002.safetensors",
536
+ "transformer.h.27.mlp.dense_h_to_4h.base_layer.weight.quant_map": "model-00001-of-00002.safetensors",
537
+ "transformer.h.27.mlp.dense_h_to_4h.base_layer.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
538
+ "transformer.h.27.mlp.dense_h_to_4h.lora_A.default.weight": "model-00001-of-00002.safetensors",
539
+ "transformer.h.27.mlp.dense_h_to_4h.lora_B.default.weight": "model-00001-of-00002.safetensors",
540
+ "transformer.h.27.self_attention.dense.base_layer.weight": "model-00001-of-00002.safetensors",
541
+ "transformer.h.27.self_attention.dense.base_layer.weight.absmax": "model-00001-of-00002.safetensors",
542
+ "transformer.h.27.self_attention.dense.base_layer.weight.quant_map": "model-00001-of-00002.safetensors",
543
+ "transformer.h.27.self_attention.dense.base_layer.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
544
+ "transformer.h.27.self_attention.dense.lora_A.default.weight": "model-00001-of-00002.safetensors",
545
+ "transformer.h.27.self_attention.dense.lora_B.default.weight": "model-00001-of-00002.safetensors",
546
+ "transformer.h.27.self_attention.query_key_value.base_layer.weight": "model-00001-of-00002.safetensors",
547
+ "transformer.h.27.self_attention.query_key_value.base_layer.weight.absmax": "model-00001-of-00002.safetensors",
548
+ "transformer.h.27.self_attention.query_key_value.base_layer.weight.quant_map": "model-00001-of-00002.safetensors",
549
+ "transformer.h.27.self_attention.query_key_value.base_layer.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
550
+ "transformer.h.27.self_attention.query_key_value.lora_A.default.weight": "model-00001-of-00002.safetensors",
551
+ "transformer.h.27.self_attention.query_key_value.lora_B.default.weight": "model-00001-of-00002.safetensors",
552
+ "transformer.h.28.input_layernorm.bias": "model-00002-of-00002.safetensors",
553
+ "transformer.h.28.input_layernorm.weight": "model-00002-of-00002.safetensors",
554
+ "transformer.h.28.mlp.dense_4h_to_h.base_layer.weight": "model-00002-of-00002.safetensors",
555
+ "transformer.h.28.mlp.dense_4h_to_h.base_layer.weight.absmax": "model-00002-of-00002.safetensors",
556
+ "transformer.h.28.mlp.dense_4h_to_h.base_layer.weight.quant_map": "model-00002-of-00002.safetensors",
557
+ "transformer.h.28.mlp.dense_4h_to_h.base_layer.weight.quant_state.bitsandbytes__nf4": "model-00002-of-00002.safetensors",
558
+ "transformer.h.28.mlp.dense_4h_to_h.lora_A.default.weight": "model-00002-of-00002.safetensors",
559
+ "transformer.h.28.mlp.dense_4h_to_h.lora_B.default.weight": "model-00002-of-00002.safetensors",
560
+ "transformer.h.28.mlp.dense_h_to_4h.base_layer.weight": "model-00001-of-00002.safetensors",
561
+ "transformer.h.28.mlp.dense_h_to_4h.base_layer.weight.absmax": "model-00001-of-00002.safetensors",
562
+ "transformer.h.28.mlp.dense_h_to_4h.base_layer.weight.quant_map": "model-00001-of-00002.safetensors",
563
+ "transformer.h.28.mlp.dense_h_to_4h.base_layer.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
564
+ "transformer.h.28.mlp.dense_h_to_4h.lora_A.default.weight": "model-00001-of-00002.safetensors",
565
+ "transformer.h.28.mlp.dense_h_to_4h.lora_B.default.weight": "model-00001-of-00002.safetensors",
566
+ "transformer.h.28.self_attention.dense.base_layer.weight": "model-00001-of-00002.safetensors",
567
+ "transformer.h.28.self_attention.dense.base_layer.weight.absmax": "model-00001-of-00002.safetensors",
568
+ "transformer.h.28.self_attention.dense.base_layer.weight.quant_map": "model-00001-of-00002.safetensors",
569
+ "transformer.h.28.self_attention.dense.base_layer.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
570
+ "transformer.h.28.self_attention.dense.lora_A.default.weight": "model-00001-of-00002.safetensors",
571
+ "transformer.h.28.self_attention.dense.lora_B.default.weight": "model-00001-of-00002.safetensors",
572
+ "transformer.h.28.self_attention.query_key_value.base_layer.weight": "model-00001-of-00002.safetensors",
573
+ "transformer.h.28.self_attention.query_key_value.base_layer.weight.absmax": "model-00001-of-00002.safetensors",
574
+ "transformer.h.28.self_attention.query_key_value.base_layer.weight.quant_map": "model-00001-of-00002.safetensors",
575
+ "transformer.h.28.self_attention.query_key_value.base_layer.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
576
+ "transformer.h.28.self_attention.query_key_value.lora_A.default.weight": "model-00001-of-00002.safetensors",
577
+ "transformer.h.28.self_attention.query_key_value.lora_B.default.weight": "model-00001-of-00002.safetensors",
578
+ "transformer.h.29.input_layernorm.bias": "model-00002-of-00002.safetensors",
579
+ "transformer.h.29.input_layernorm.weight": "model-00002-of-00002.safetensors",
580
+ "transformer.h.29.mlp.dense_4h_to_h.base_layer.weight": "model-00002-of-00002.safetensors",
581
+ "transformer.h.29.mlp.dense_4h_to_h.base_layer.weight.absmax": "model-00002-of-00002.safetensors",
582
+ "transformer.h.29.mlp.dense_4h_to_h.base_layer.weight.quant_map": "model-00002-of-00002.safetensors",
583
+ "transformer.h.29.mlp.dense_4h_to_h.base_layer.weight.quant_state.bitsandbytes__nf4": "model-00002-of-00002.safetensors",
584
+ "transformer.h.29.mlp.dense_4h_to_h.lora_A.default.weight": "model-00002-of-00002.safetensors",
585
+ "transformer.h.29.mlp.dense_4h_to_h.lora_B.default.weight": "model-00002-of-00002.safetensors",
586
+ "transformer.h.29.mlp.dense_h_to_4h.base_layer.weight": "model-00002-of-00002.safetensors",
587
+ "transformer.h.29.mlp.dense_h_to_4h.base_layer.weight.absmax": "model-00002-of-00002.safetensors",
588
+ "transformer.h.29.mlp.dense_h_to_4h.base_layer.weight.quant_map": "model-00002-of-00002.safetensors",
589
+ "transformer.h.29.mlp.dense_h_to_4h.base_layer.weight.quant_state.bitsandbytes__nf4": "model-00002-of-00002.safetensors",
590
+ "transformer.h.29.mlp.dense_h_to_4h.lora_A.default.weight": "model-00002-of-00002.safetensors",
591
+ "transformer.h.29.mlp.dense_h_to_4h.lora_B.default.weight": "model-00002-of-00002.safetensors",
592
+ "transformer.h.29.self_attention.dense.base_layer.weight": "model-00002-of-00002.safetensors",
593
+ "transformer.h.29.self_attention.dense.base_layer.weight.absmax": "model-00002-of-00002.safetensors",
594
+ "transformer.h.29.self_attention.dense.base_layer.weight.quant_map": "model-00002-of-00002.safetensors",
595
+ "transformer.h.29.self_attention.dense.base_layer.weight.quant_state.bitsandbytes__nf4": "model-00002-of-00002.safetensors",
596
+ "transformer.h.29.self_attention.dense.lora_A.default.weight": "model-00002-of-00002.safetensors",
597
+ "transformer.h.29.self_attention.dense.lora_B.default.weight": "model-00002-of-00002.safetensors",
598
+ "transformer.h.29.self_attention.query_key_value.base_layer.weight": "model-00002-of-00002.safetensors",
599
+ "transformer.h.29.self_attention.query_key_value.base_layer.weight.absmax": "model-00002-of-00002.safetensors",
600
+ "transformer.h.29.self_attention.query_key_value.base_layer.weight.quant_map": "model-00002-of-00002.safetensors",
601
+ "transformer.h.29.self_attention.query_key_value.base_layer.weight.quant_state.bitsandbytes__nf4": "model-00002-of-00002.safetensors",
602
+ "transformer.h.29.self_attention.query_key_value.lora_A.default.weight": "model-00002-of-00002.safetensors",
603
+ "transformer.h.29.self_attention.query_key_value.lora_B.default.weight": "model-00002-of-00002.safetensors",
604
+ "transformer.h.3.input_layernorm.bias": "model-00001-of-00002.safetensors",
605
+ "transformer.h.3.input_layernorm.weight": "model-00001-of-00002.safetensors",
606
+ "transformer.h.3.mlp.dense_4h_to_h.base_layer.weight": "model-00001-of-00002.safetensors",
607
+ "transformer.h.3.mlp.dense_4h_to_h.base_layer.weight.absmax": "model-00001-of-00002.safetensors",
608
+ "transformer.h.3.mlp.dense_4h_to_h.base_layer.weight.quant_map": "model-00001-of-00002.safetensors",
609
+ "transformer.h.3.mlp.dense_4h_to_h.base_layer.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
610
+ "transformer.h.3.mlp.dense_4h_to_h.lora_A.default.weight": "model-00001-of-00002.safetensors",
611
+ "transformer.h.3.mlp.dense_4h_to_h.lora_B.default.weight": "model-00001-of-00002.safetensors",
612
+ "transformer.h.3.mlp.dense_h_to_4h.base_layer.weight": "model-00001-of-00002.safetensors",
613
+ "transformer.h.3.mlp.dense_h_to_4h.base_layer.weight.absmax": "model-00001-of-00002.safetensors",
614
+ "transformer.h.3.mlp.dense_h_to_4h.base_layer.weight.quant_map": "model-00001-of-00002.safetensors",
615
+ "transformer.h.3.mlp.dense_h_to_4h.base_layer.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
616
+ "transformer.h.3.mlp.dense_h_to_4h.lora_A.default.weight": "model-00001-of-00002.safetensors",
617
+ "transformer.h.3.mlp.dense_h_to_4h.lora_B.default.weight": "model-00001-of-00002.safetensors",
618
+ "transformer.h.3.self_attention.dense.base_layer.weight": "model-00001-of-00002.safetensors",
619
+ "transformer.h.3.self_attention.dense.base_layer.weight.absmax": "model-00001-of-00002.safetensors",
620
+ "transformer.h.3.self_attention.dense.base_layer.weight.quant_map": "model-00001-of-00002.safetensors",
621
+ "transformer.h.3.self_attention.dense.base_layer.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
622
+ "transformer.h.3.self_attention.dense.lora_A.default.weight": "model-00001-of-00002.safetensors",
623
+ "transformer.h.3.self_attention.dense.lora_B.default.weight": "model-00001-of-00002.safetensors",
624
+ "transformer.h.3.self_attention.query_key_value.base_layer.weight": "model-00001-of-00002.safetensors",
625
+ "transformer.h.3.self_attention.query_key_value.base_layer.weight.absmax": "model-00001-of-00002.safetensors",
626
+ "transformer.h.3.self_attention.query_key_value.base_layer.weight.quant_map": "model-00001-of-00002.safetensors",
627
+ "transformer.h.3.self_attention.query_key_value.base_layer.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
628
+ "transformer.h.3.self_attention.query_key_value.lora_A.default.weight": "model-00001-of-00002.safetensors",
629
+ "transformer.h.3.self_attention.query_key_value.lora_B.default.weight": "model-00001-of-00002.safetensors",
630
+ "transformer.h.30.input_layernorm.bias": "model-00002-of-00002.safetensors",
631
+ "transformer.h.30.input_layernorm.weight": "model-00002-of-00002.safetensors",
632
+ "transformer.h.30.mlp.dense_4h_to_h.base_layer.weight": "model-00002-of-00002.safetensors",
633
+ "transformer.h.30.mlp.dense_4h_to_h.base_layer.weight.absmax": "model-00002-of-00002.safetensors",
634
+ "transformer.h.30.mlp.dense_4h_to_h.base_layer.weight.quant_map": "model-00002-of-00002.safetensors",
635
+ "transformer.h.30.mlp.dense_4h_to_h.base_layer.weight.quant_state.bitsandbytes__nf4": "model-00002-of-00002.safetensors",
636
+ "transformer.h.30.mlp.dense_4h_to_h.lora_A.default.weight": "model-00002-of-00002.safetensors",
637
+ "transformer.h.30.mlp.dense_4h_to_h.lora_B.default.weight": "model-00002-of-00002.safetensors",
638
+ "transformer.h.30.mlp.dense_h_to_4h.base_layer.weight": "model-00002-of-00002.safetensors",
639
+ "transformer.h.30.mlp.dense_h_to_4h.base_layer.weight.absmax": "model-00002-of-00002.safetensors",
640
+ "transformer.h.30.mlp.dense_h_to_4h.base_layer.weight.quant_map": "model-00002-of-00002.safetensors",
641
+ "transformer.h.30.mlp.dense_h_to_4h.base_layer.weight.quant_state.bitsandbytes__nf4": "model-00002-of-00002.safetensors",
642
+ "transformer.h.30.mlp.dense_h_to_4h.lora_A.default.weight": "model-00002-of-00002.safetensors",
643
+ "transformer.h.30.mlp.dense_h_to_4h.lora_B.default.weight": "model-00002-of-00002.safetensors",
644
+ "transformer.h.30.self_attention.dense.base_layer.weight": "model-00002-of-00002.safetensors",
645
+ "transformer.h.30.self_attention.dense.base_layer.weight.absmax": "model-00002-of-00002.safetensors",
646
+ "transformer.h.30.self_attention.dense.base_layer.weight.quant_map": "model-00002-of-00002.safetensors",
647
+ "transformer.h.30.self_attention.dense.base_layer.weight.quant_state.bitsandbytes__nf4": "model-00002-of-00002.safetensors",
648
+ "transformer.h.30.self_attention.dense.lora_A.default.weight": "model-00002-of-00002.safetensors",
649
+ "transformer.h.30.self_attention.dense.lora_B.default.weight": "model-00002-of-00002.safetensors",
650
+ "transformer.h.30.self_attention.query_key_value.base_layer.weight": "model-00002-of-00002.safetensors",
651
+ "transformer.h.30.self_attention.query_key_value.base_layer.weight.absmax": "model-00002-of-00002.safetensors",
652
+ "transformer.h.30.self_attention.query_key_value.base_layer.weight.quant_map": "model-00002-of-00002.safetensors",
653
+ "transformer.h.30.self_attention.query_key_value.base_layer.weight.quant_state.bitsandbytes__nf4": "model-00002-of-00002.safetensors",
654
+ "transformer.h.30.self_attention.query_key_value.lora_A.default.weight": "model-00002-of-00002.safetensors",
655
+ "transformer.h.30.self_attention.query_key_value.lora_B.default.weight": "model-00002-of-00002.safetensors",
656
+ "transformer.h.31.input_layernorm.bias": "model-00002-of-00002.safetensors",
657
+ "transformer.h.31.input_layernorm.weight": "model-00002-of-00002.safetensors",
658
+ "transformer.h.31.mlp.dense_4h_to_h.base_layer.weight": "model-00002-of-00002.safetensors",
659
+ "transformer.h.31.mlp.dense_4h_to_h.base_layer.weight.absmax": "model-00002-of-00002.safetensors",
660
+ "transformer.h.31.mlp.dense_4h_to_h.base_layer.weight.quant_map": "model-00002-of-00002.safetensors",
661
+ "transformer.h.31.mlp.dense_4h_to_h.base_layer.weight.quant_state.bitsandbytes__nf4": "model-00002-of-00002.safetensors",
662
+ "transformer.h.31.mlp.dense_4h_to_h.lora_A.default.weight": "model-00002-of-00002.safetensors",
663
+ "transformer.h.31.mlp.dense_4h_to_h.lora_B.default.weight": "model-00002-of-00002.safetensors",
664
+ "transformer.h.31.mlp.dense_h_to_4h.base_layer.weight": "model-00002-of-00002.safetensors",
665
+ "transformer.h.31.mlp.dense_h_to_4h.base_layer.weight.absmax": "model-00002-of-00002.safetensors",
666
+ "transformer.h.31.mlp.dense_h_to_4h.base_layer.weight.quant_map": "model-00002-of-00002.safetensors",
667
+ "transformer.h.31.mlp.dense_h_to_4h.base_layer.weight.quant_state.bitsandbytes__nf4": "model-00002-of-00002.safetensors",
668
+ "transformer.h.31.mlp.dense_h_to_4h.lora_A.default.weight": "model-00002-of-00002.safetensors",
669
+ "transformer.h.31.mlp.dense_h_to_4h.lora_B.default.weight": "model-00002-of-00002.safetensors",
670
+ "transformer.h.31.self_attention.dense.base_layer.weight": "model-00002-of-00002.safetensors",
671
+ "transformer.h.31.self_attention.dense.base_layer.weight.absmax": "model-00002-of-00002.safetensors",
672
+ "transformer.h.31.self_attention.dense.base_layer.weight.quant_map": "model-00002-of-00002.safetensors",
673
+ "transformer.h.31.self_attention.dense.base_layer.weight.quant_state.bitsandbytes__nf4": "model-00002-of-00002.safetensors",
674
+ "transformer.h.31.self_attention.dense.lora_A.default.weight": "model-00002-of-00002.safetensors",
675
+ "transformer.h.31.self_attention.dense.lora_B.default.weight": "model-00002-of-00002.safetensors",
676
+ "transformer.h.31.self_attention.query_key_value.base_layer.weight": "model-00002-of-00002.safetensors",
677
+ "transformer.h.31.self_attention.query_key_value.base_layer.weight.absmax": "model-00002-of-00002.safetensors",
678
+ "transformer.h.31.self_attention.query_key_value.base_layer.weight.quant_map": "model-00002-of-00002.safetensors",
679
+ "transformer.h.31.self_attention.query_key_value.base_layer.weight.quant_state.bitsandbytes__nf4": "model-00002-of-00002.safetensors",
680
+ "transformer.h.31.self_attention.query_key_value.lora_A.default.weight": "model-00002-of-00002.safetensors",
681
+ "transformer.h.31.self_attention.query_key_value.lora_B.default.weight": "model-00002-of-00002.safetensors",
682
+ "transformer.h.4.input_layernorm.bias": "model-00001-of-00002.safetensors",
683
+ "transformer.h.4.input_layernorm.weight": "model-00001-of-00002.safetensors",
684
+ "transformer.h.4.mlp.dense_4h_to_h.base_layer.weight": "model-00001-of-00002.safetensors",
685
+ "transformer.h.4.mlp.dense_4h_to_h.base_layer.weight.absmax": "model-00001-of-00002.safetensors",
686
+ "transformer.h.4.mlp.dense_4h_to_h.base_layer.weight.quant_map": "model-00001-of-00002.safetensors",
687
+ "transformer.h.4.mlp.dense_4h_to_h.base_layer.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
688
+ "transformer.h.4.mlp.dense_4h_to_h.lora_A.default.weight": "model-00001-of-00002.safetensors",
689
+ "transformer.h.4.mlp.dense_4h_to_h.lora_B.default.weight": "model-00001-of-00002.safetensors",
690
+ "transformer.h.4.mlp.dense_h_to_4h.base_layer.weight": "model-00001-of-00002.safetensors",
691
+ "transformer.h.4.mlp.dense_h_to_4h.base_layer.weight.absmax": "model-00001-of-00002.safetensors",
692
+ "transformer.h.4.mlp.dense_h_to_4h.base_layer.weight.quant_map": "model-00001-of-00002.safetensors",
693
+ "transformer.h.4.mlp.dense_h_to_4h.base_layer.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
694
+ "transformer.h.4.mlp.dense_h_to_4h.lora_A.default.weight": "model-00001-of-00002.safetensors",
695
+ "transformer.h.4.mlp.dense_h_to_4h.lora_B.default.weight": "model-00001-of-00002.safetensors",
696
+ "transformer.h.4.self_attention.dense.base_layer.weight": "model-00001-of-00002.safetensors",
697
+ "transformer.h.4.self_attention.dense.base_layer.weight.absmax": "model-00001-of-00002.safetensors",
698
+ "transformer.h.4.self_attention.dense.base_layer.weight.quant_map": "model-00001-of-00002.safetensors",
699
+ "transformer.h.4.self_attention.dense.base_layer.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
700
+ "transformer.h.4.self_attention.dense.lora_A.default.weight": "model-00001-of-00002.safetensors",
701
+ "transformer.h.4.self_attention.dense.lora_B.default.weight": "model-00001-of-00002.safetensors",
702
+ "transformer.h.4.self_attention.query_key_value.base_layer.weight": "model-00001-of-00002.safetensors",
703
+ "transformer.h.4.self_attention.query_key_value.base_layer.weight.absmax": "model-00001-of-00002.safetensors",
704
+ "transformer.h.4.self_attention.query_key_value.base_layer.weight.quant_map": "model-00001-of-00002.safetensors",
705
+ "transformer.h.4.self_attention.query_key_value.base_layer.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
706
+ "transformer.h.4.self_attention.query_key_value.lora_A.default.weight": "model-00001-of-00002.safetensors",
707
+ "transformer.h.4.self_attention.query_key_value.lora_B.default.weight": "model-00001-of-00002.safetensors",
708
+ "transformer.h.5.input_layernorm.bias": "model-00001-of-00002.safetensors",
709
+ "transformer.h.5.input_layernorm.weight": "model-00001-of-00002.safetensors",
710
+ "transformer.h.5.mlp.dense_4h_to_h.base_layer.weight": "model-00001-of-00002.safetensors",
711
+ "transformer.h.5.mlp.dense_4h_to_h.base_layer.weight.absmax": "model-00001-of-00002.safetensors",
712
+ "transformer.h.5.mlp.dense_4h_to_h.base_layer.weight.quant_map": "model-00001-of-00002.safetensors",
713
+ "transformer.h.5.mlp.dense_4h_to_h.base_layer.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
714
+ "transformer.h.5.mlp.dense_4h_to_h.lora_A.default.weight": "model-00001-of-00002.safetensors",
715
+ "transformer.h.5.mlp.dense_4h_to_h.lora_B.default.weight": "model-00001-of-00002.safetensors",
716
+ "transformer.h.5.mlp.dense_h_to_4h.base_layer.weight": "model-00001-of-00002.safetensors",
717
+ "transformer.h.5.mlp.dense_h_to_4h.base_layer.weight.absmax": "model-00001-of-00002.safetensors",
718
+ "transformer.h.5.mlp.dense_h_to_4h.base_layer.weight.quant_map": "model-00001-of-00002.safetensors",
719
+ "transformer.h.5.mlp.dense_h_to_4h.base_layer.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
720
+ "transformer.h.5.mlp.dense_h_to_4h.lora_A.default.weight": "model-00001-of-00002.safetensors",
721
+ "transformer.h.5.mlp.dense_h_to_4h.lora_B.default.weight": "model-00001-of-00002.safetensors",
722
+ "transformer.h.5.self_attention.dense.base_layer.weight": "model-00001-of-00002.safetensors",
723
+ "transformer.h.5.self_attention.dense.base_layer.weight.absmax": "model-00001-of-00002.safetensors",
724
+ "transformer.h.5.self_attention.dense.base_layer.weight.quant_map": "model-00001-of-00002.safetensors",
725
+ "transformer.h.5.self_attention.dense.base_layer.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
726
+ "transformer.h.5.self_attention.dense.lora_A.default.weight": "model-00001-of-00002.safetensors",
727
+ "transformer.h.5.self_attention.dense.lora_B.default.weight": "model-00001-of-00002.safetensors",
728
+ "transformer.h.5.self_attention.query_key_value.base_layer.weight": "model-00001-of-00002.safetensors",
729
+ "transformer.h.5.self_attention.query_key_value.base_layer.weight.absmax": "model-00001-of-00002.safetensors",
730
+ "transformer.h.5.self_attention.query_key_value.base_layer.weight.quant_map": "model-00001-of-00002.safetensors",
731
+ "transformer.h.5.self_attention.query_key_value.base_layer.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
732
+ "transformer.h.5.self_attention.query_key_value.lora_A.default.weight": "model-00001-of-00002.safetensors",
733
+ "transformer.h.5.self_attention.query_key_value.lora_B.default.weight": "model-00001-of-00002.safetensors",
734
+ "transformer.h.6.input_layernorm.bias": "model-00001-of-00002.safetensors",
735
+ "transformer.h.6.input_layernorm.weight": "model-00001-of-00002.safetensors",
736
+ "transformer.h.6.mlp.dense_4h_to_h.base_layer.weight": "model-00001-of-00002.safetensors",
737
+ "transformer.h.6.mlp.dense_4h_to_h.base_layer.weight.absmax": "model-00001-of-00002.safetensors",
738
+ "transformer.h.6.mlp.dense_4h_to_h.base_layer.weight.quant_map": "model-00001-of-00002.safetensors",
739
+ "transformer.h.6.mlp.dense_4h_to_h.base_layer.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
740
+ "transformer.h.6.mlp.dense_4h_to_h.lora_A.default.weight": "model-00001-of-00002.safetensors",
741
+ "transformer.h.6.mlp.dense_4h_to_h.lora_B.default.weight": "model-00001-of-00002.safetensors",
742
+ "transformer.h.6.mlp.dense_h_to_4h.base_layer.weight": "model-00001-of-00002.safetensors",
743
+ "transformer.h.6.mlp.dense_h_to_4h.base_layer.weight.absmax": "model-00001-of-00002.safetensors",
744
+ "transformer.h.6.mlp.dense_h_to_4h.base_layer.weight.quant_map": "model-00001-of-00002.safetensors",
745
+ "transformer.h.6.mlp.dense_h_to_4h.base_layer.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
746
+ "transformer.h.6.mlp.dense_h_to_4h.lora_A.default.weight": "model-00001-of-00002.safetensors",
747
+ "transformer.h.6.mlp.dense_h_to_4h.lora_B.default.weight": "model-00001-of-00002.safetensors",
748
+ "transformer.h.6.self_attention.dense.base_layer.weight": "model-00001-of-00002.safetensors",
749
+ "transformer.h.6.self_attention.dense.base_layer.weight.absmax": "model-00001-of-00002.safetensors",
750
+ "transformer.h.6.self_attention.dense.base_layer.weight.quant_map": "model-00001-of-00002.safetensors",
751
+ "transformer.h.6.self_attention.dense.base_layer.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
752
+ "transformer.h.6.self_attention.dense.lora_A.default.weight": "model-00001-of-00002.safetensors",
753
+ "transformer.h.6.self_attention.dense.lora_B.default.weight": "model-00001-of-00002.safetensors",
754
+ "transformer.h.6.self_attention.query_key_value.base_layer.weight": "model-00001-of-00002.safetensors",
755
+ "transformer.h.6.self_attention.query_key_value.base_layer.weight.absmax": "model-00001-of-00002.safetensors",
756
+ "transformer.h.6.self_attention.query_key_value.base_layer.weight.quant_map": "model-00001-of-00002.safetensors",
757
+ "transformer.h.6.self_attention.query_key_value.base_layer.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
758
+ "transformer.h.6.self_attention.query_key_value.lora_A.default.weight": "model-00001-of-00002.safetensors",
759
+ "transformer.h.6.self_attention.query_key_value.lora_B.default.weight": "model-00001-of-00002.safetensors",
760
+ "transformer.h.7.input_layernorm.bias": "model-00001-of-00002.safetensors",
761
+ "transformer.h.7.input_layernorm.weight": "model-00001-of-00002.safetensors",
762
+ "transformer.h.7.mlp.dense_4h_to_h.base_layer.weight": "model-00001-of-00002.safetensors",
763
+ "transformer.h.7.mlp.dense_4h_to_h.base_layer.weight.absmax": "model-00001-of-00002.safetensors",
764
+ "transformer.h.7.mlp.dense_4h_to_h.base_layer.weight.quant_map": "model-00001-of-00002.safetensors",
765
+ "transformer.h.7.mlp.dense_4h_to_h.base_layer.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
766
+ "transformer.h.7.mlp.dense_4h_to_h.lora_A.default.weight": "model-00001-of-00002.safetensors",
767
+ "transformer.h.7.mlp.dense_4h_to_h.lora_B.default.weight": "model-00001-of-00002.safetensors",
768
+ "transformer.h.7.mlp.dense_h_to_4h.base_layer.weight": "model-00001-of-00002.safetensors",
769
+ "transformer.h.7.mlp.dense_h_to_4h.base_layer.weight.absmax": "model-00001-of-00002.safetensors",
770
+ "transformer.h.7.mlp.dense_h_to_4h.base_layer.weight.quant_map": "model-00001-of-00002.safetensors",
771
+ "transformer.h.7.mlp.dense_h_to_4h.base_layer.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
772
+ "transformer.h.7.mlp.dense_h_to_4h.lora_A.default.weight": "model-00001-of-00002.safetensors",
773
+ "transformer.h.7.mlp.dense_h_to_4h.lora_B.default.weight": "model-00001-of-00002.safetensors",
774
+ "transformer.h.7.self_attention.dense.base_layer.weight": "model-00001-of-00002.safetensors",
775
+ "transformer.h.7.self_attention.dense.base_layer.weight.absmax": "model-00001-of-00002.safetensors",
776
+ "transformer.h.7.self_attention.dense.base_layer.weight.quant_map": "model-00001-of-00002.safetensors",
777
+ "transformer.h.7.self_attention.dense.base_layer.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
778
+ "transformer.h.7.self_attention.dense.lora_A.default.weight": "model-00001-of-00002.safetensors",
779
+ "transformer.h.7.self_attention.dense.lora_B.default.weight": "model-00001-of-00002.safetensors",
780
+ "transformer.h.7.self_attention.query_key_value.base_layer.weight": "model-00001-of-00002.safetensors",
781
+ "transformer.h.7.self_attention.query_key_value.base_layer.weight.absmax": "model-00001-of-00002.safetensors",
782
+ "transformer.h.7.self_attention.query_key_value.base_layer.weight.quant_map": "model-00001-of-00002.safetensors",
783
+ "transformer.h.7.self_attention.query_key_value.base_layer.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
784
+ "transformer.h.7.self_attention.query_key_value.lora_A.default.weight": "model-00001-of-00002.safetensors",
785
+ "transformer.h.7.self_attention.query_key_value.lora_B.default.weight": "model-00001-of-00002.safetensors",
786
+ "transformer.h.8.input_layernorm.bias": "model-00001-of-00002.safetensors",
787
+ "transformer.h.8.input_layernorm.weight": "model-00001-of-00002.safetensors",
788
+ "transformer.h.8.mlp.dense_4h_to_h.base_layer.weight": "model-00001-of-00002.safetensors",
789
+ "transformer.h.8.mlp.dense_4h_to_h.base_layer.weight.absmax": "model-00001-of-00002.safetensors",
790
+ "transformer.h.8.mlp.dense_4h_to_h.base_layer.weight.quant_map": "model-00001-of-00002.safetensors",
791
+ "transformer.h.8.mlp.dense_4h_to_h.base_layer.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
792
+ "transformer.h.8.mlp.dense_4h_to_h.lora_A.default.weight": "model-00001-of-00002.safetensors",
793
+ "transformer.h.8.mlp.dense_4h_to_h.lora_B.default.weight": "model-00001-of-00002.safetensors",
794
+ "transformer.h.8.mlp.dense_h_to_4h.base_layer.weight": "model-00001-of-00002.safetensors",
795
+ "transformer.h.8.mlp.dense_h_to_4h.base_layer.weight.absmax": "model-00001-of-00002.safetensors",
796
+ "transformer.h.8.mlp.dense_h_to_4h.base_layer.weight.quant_map": "model-00001-of-00002.safetensors",
797
+ "transformer.h.8.mlp.dense_h_to_4h.base_layer.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
798
+ "transformer.h.8.mlp.dense_h_to_4h.lora_A.default.weight": "model-00001-of-00002.safetensors",
799
+ "transformer.h.8.mlp.dense_h_to_4h.lora_B.default.weight": "model-00001-of-00002.safetensors",
800
+ "transformer.h.8.self_attention.dense.base_layer.weight": "model-00001-of-00002.safetensors",
801
+ "transformer.h.8.self_attention.dense.base_layer.weight.absmax": "model-00001-of-00002.safetensors",
802
+ "transformer.h.8.self_attention.dense.base_layer.weight.quant_map": "model-00001-of-00002.safetensors",
803
+ "transformer.h.8.self_attention.dense.base_layer.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
804
+ "transformer.h.8.self_attention.dense.lora_A.default.weight": "model-00001-of-00002.safetensors",
805
+ "transformer.h.8.self_attention.dense.lora_B.default.weight": "model-00001-of-00002.safetensors",
806
+ "transformer.h.8.self_attention.query_key_value.base_layer.weight": "model-00001-of-00002.safetensors",
807
+ "transformer.h.8.self_attention.query_key_value.base_layer.weight.absmax": "model-00001-of-00002.safetensors",
808
+ "transformer.h.8.self_attention.query_key_value.base_layer.weight.quant_map": "model-00001-of-00002.safetensors",
809
+ "transformer.h.8.self_attention.query_key_value.base_layer.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
810
+ "transformer.h.8.self_attention.query_key_value.lora_A.default.weight": "model-00001-of-00002.safetensors",
811
+ "transformer.h.8.self_attention.query_key_value.lora_B.default.weight": "model-00001-of-00002.safetensors",
812
+ "transformer.h.9.input_layernorm.bias": "model-00001-of-00002.safetensors",
813
+ "transformer.h.9.input_layernorm.weight": "model-00001-of-00002.safetensors",
814
+ "transformer.h.9.mlp.dense_4h_to_h.base_layer.weight": "model-00001-of-00002.safetensors",
815
+ "transformer.h.9.mlp.dense_4h_to_h.base_layer.weight.absmax": "model-00001-of-00002.safetensors",
816
+ "transformer.h.9.mlp.dense_4h_to_h.base_layer.weight.quant_map": "model-00001-of-00002.safetensors",
817
+ "transformer.h.9.mlp.dense_4h_to_h.base_layer.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
818
+ "transformer.h.9.mlp.dense_4h_to_h.lora_A.default.weight": "model-00001-of-00002.safetensors",
819
+ "transformer.h.9.mlp.dense_4h_to_h.lora_B.default.weight": "model-00001-of-00002.safetensors",
820
+ "transformer.h.9.mlp.dense_h_to_4h.base_layer.weight": "model-00001-of-00002.safetensors",
821
+ "transformer.h.9.mlp.dense_h_to_4h.base_layer.weight.absmax": "model-00001-of-00002.safetensors",
822
+ "transformer.h.9.mlp.dense_h_to_4h.base_layer.weight.quant_map": "model-00001-of-00002.safetensors",
823
+ "transformer.h.9.mlp.dense_h_to_4h.base_layer.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
824
+ "transformer.h.9.mlp.dense_h_to_4h.lora_A.default.weight": "model-00001-of-00002.safetensors",
825
+ "transformer.h.9.mlp.dense_h_to_4h.lora_B.default.weight": "model-00001-of-00002.safetensors",
826
+ "transformer.h.9.self_attention.dense.base_layer.weight": "model-00001-of-00002.safetensors",
827
+ "transformer.h.9.self_attention.dense.base_layer.weight.absmax": "model-00001-of-00002.safetensors",
828
+ "transformer.h.9.self_attention.dense.base_layer.weight.quant_map": "model-00001-of-00002.safetensors",
829
+ "transformer.h.9.self_attention.dense.base_layer.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
830
+ "transformer.h.9.self_attention.dense.lora_A.default.weight": "model-00001-of-00002.safetensors",
831
+ "transformer.h.9.self_attention.dense.lora_B.default.weight": "model-00001-of-00002.safetensors",
832
+ "transformer.h.9.self_attention.query_key_value.base_layer.weight": "model-00001-of-00002.safetensors",
833
+ "transformer.h.9.self_attention.query_key_value.base_layer.weight.absmax": "model-00001-of-00002.safetensors",
834
+ "transformer.h.9.self_attention.query_key_value.base_layer.weight.quant_map": "model-00001-of-00002.safetensors",
835
+ "transformer.h.9.self_attention.query_key_value.base_layer.weight.quant_state.bitsandbytes__nf4": "model-00001-of-00002.safetensors",
836
+ "transformer.h.9.self_attention.query_key_value.lora_A.default.weight": "model-00001-of-00002.safetensors",
837
+ "transformer.h.9.self_attention.query_key_value.lora_B.default.weight": "model-00001-of-00002.safetensors",
838
+ "transformer.ln_f.bias": "model-00002-of-00002.safetensors",
839
+ "transformer.ln_f.weight": "model-00002-of-00002.safetensors",
840
+ "transformer.word_embeddings.weight": "model-00001-of-00002.safetensors"
841
+ }
842
+ }