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- README.md +450 -0
- added_tokens.json +5 -0
- config.json +39 -0
- config.json.backup +39 -0
- generation_config.json +7 -0
- merges.txt +0 -0
- model.safetensors.index.json +970 -0
- output-00001-of-00008.safetensors +3 -0
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- output-00007-of-00008.safetensors +3 -0
- output-00008-of-00008.safetensors +3 -0
- special_tokens_map.json +20 -0
- tokenizer.json +0 -0
- tokenizer_config.json +44 -0
- vocab.json +0 -0
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|
| 1 |
+
---
|
| 2 |
+
license: other
|
| 3 |
+
license_name: tongyi-qianwen
|
| 4 |
+
license_link: >-
|
| 5 |
+
https://huggingface.co/Qwen/Qwen1.5-110B/blob/main/LICENSE
|
| 6 |
+
base_model: Qwen/Qwen2-72B
|
| 7 |
+
tags:
|
| 8 |
+
- generated_from_trainer
|
| 9 |
+
- axolotl
|
| 10 |
+
datasets:
|
| 11 |
+
- cognitivecomputations/Dolphin-2.9
|
| 12 |
+
- teknium/OpenHermes-2.5
|
| 13 |
+
- m-a-p/CodeFeedback-Filtered-Instruction
|
| 14 |
+
- cognitivecomputations/dolphin-coder
|
| 15 |
+
- cognitivecomputations/samantha-data
|
| 16 |
+
- microsoft/orca-math-word-problems-200k
|
| 17 |
+
- Locutusque/function-calling-chatml
|
| 18 |
+
- internlm/Agent-FLAN
|
| 19 |
+
---
|
| 20 |
+
# BigStorm - ExLLamaV2 (Exl2) Quantization
|
| 21 |
+
- 7.0 bpw target
|
| 22 |
+
- 8 head bits
|
| 23 |
+
|
| 24 |
+
Enjoy! Raise an issue if you'd like other BPW levels.
|
| 25 |
+
**Base Model Card Follows:**
|
| 26 |
+
---
|
| 27 |
+
|
| 28 |
+
# Dolphin 2.9.2 Qwen2 72B 🐬
|
| 29 |
+
|
| 30 |
+
Curated and trained by Eric Hartford, Lucas Atkins, and Fernando Fernandes, and Cognitive Computations
|
| 31 |
+
|
| 32 |
+
[](https://discord.gg/cognitivecomputations)
|
| 33 |
+
Discord: https://discord.gg/cognitivecomputations
|
| 34 |
+
|
| 35 |
+
<img src="https://cdn-uploads.huggingface.co/production/uploads/63111b2d88942700629f5771/ldkN1J0WIDQwU4vutGYiD.png" width="600" />
|
| 36 |
+
|
| 37 |
+
Our appreciation for the sponsors of Dolphin 2.9.2:
|
| 38 |
+
- [Crusoe Cloud](https://crusoe.ai/) - provided excellent on-demand 8xH100 node
|
| 39 |
+
|
| 40 |
+
This model is based on Qwen2-72b, and is governed by [tongyi-qianwen license](LICENSE)
|
| 41 |
+
|
| 42 |
+
The base model has 128k context, and the full-weight fine-tuning was with 8k sequence length.
|
| 43 |
+
|
| 44 |
+
This model was trained FFT on parameters selected by [Laser Scanner](https://github.com/cognitivecomputations/laserRMT/blob/main/laser_scanner.py), using ChatML prompt template format.
|
| 45 |
+
|
| 46 |
+
example:
|
| 47 |
+
|
| 48 |
+
```
|
| 49 |
+
<|im_start|>system
|
| 50 |
+
You are Dolphin, a helpful AI assistant.<|im_end|>
|
| 51 |
+
<|im_start|>user
|
| 52 |
+
{prompt}<|im_end|>
|
| 53 |
+
<|im_start|>assistant
|
| 54 |
+
|
| 55 |
+
```
|
| 56 |
+
|
| 57 |
+
Dolphin-2.9.2 has a variety of instruction, conversational, and coding skills. It also has initial agentic abilities and supports function calling.
|
| 58 |
+
|
| 59 |
+
Dolphin is uncensored. We have filtered the dataset to remove alignment and bias. This makes the model more compliant. You are advised to implement your own alignment layer before exposing the model as a service. It will be highly compliant with any requests, even unethical ones. Please read my blog post about uncensored models. https://erichartford.com/uncensored-models You are responsible for any content you create using this model. Enjoy responsibly.
|
| 60 |
+
|
| 61 |
+
Dolphin is licensed according to Qwen's tongyi-qianwen license. We grant permission for any use, including commercial, that falls within accordance with said license. Dolphin was trained on data generated from GPT4, among other models.
|
| 62 |
+
|
| 63 |
+
## Evals
|
| 64 |
+
|
| 65 |
+
|
| 66 |
+
|
| 67 |
+
[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
|
| 68 |
+
<details><summary>See axolotl config</summary>
|
| 69 |
+
|
| 70 |
+
axolotl version: `0.4.0`
|
| 71 |
+
```yaml
|
| 72 |
+
base_model: Qwen/Qwen2-72B
|
| 73 |
+
model_type: AutoModelForCausalLM
|
| 74 |
+
tokenizer_type: AutoTokenizer
|
| 75 |
+
|
| 76 |
+
trust_remote_code: true
|
| 77 |
+
|
| 78 |
+
# load_in_8bit: true
|
| 79 |
+
# load_in_4bit: false
|
| 80 |
+
# strict: false
|
| 81 |
+
|
| 82 |
+
datasets:
|
| 83 |
+
- path: /workspace/datasets/dolphin-2.9.2/dolphin201-sharegpt2.jsonl
|
| 84 |
+
type: sharegpt
|
| 85 |
+
conversation: chatml
|
| 86 |
+
- path: /workspace/datasets/dolphin-2.9.2/dolphin-coder-codegen-sharegpt2.jsonl
|
| 87 |
+
type: sharegpt
|
| 88 |
+
conversation: chatml
|
| 89 |
+
- path: /workspace/datasets/dolphin-2.9.2/dolphin-coder-translate-sharegpt2.jsonl
|
| 90 |
+
type: sharegpt
|
| 91 |
+
conversation: chatml
|
| 92 |
+
- path: /workspace/datasets/dolphin-2.9.2/m-a-p_Code-Feedback-sharegpt-unfiltered.jsonl
|
| 93 |
+
type: sharegpt
|
| 94 |
+
conversation: chatml
|
| 95 |
+
- path: /workspace/datasets/dolphin-2.9.2/m-a-p_CodeFeedback-Filtered-Instruction-sharegpt-unfiltered.jsonl
|
| 96 |
+
type: sharegpt
|
| 97 |
+
conversation: chatml
|
| 98 |
+
- path: /workspace/datasets/dolphin-2.9.2/not_samantha_norefusals.jsonl
|
| 99 |
+
type: sharegpt
|
| 100 |
+
conversation: chatml
|
| 101 |
+
- path: /workspace/datasets/dolphin-2.9.2/openhermes200k_unfiltered.jsonl
|
| 102 |
+
type: sharegpt
|
| 103 |
+
conversation: chatml
|
| 104 |
+
- path: /workspace/datasets/dolphin-2.9.2/Orca-Math-resort-unfiltered.jsonl
|
| 105 |
+
type: sharegpt
|
| 106 |
+
conversation: chatml
|
| 107 |
+
- path: /workspace/datasets/dolphin-2.9.2/SystemChat_sharegpt.jsonl
|
| 108 |
+
type: sharegpt
|
| 109 |
+
conversation: chatml
|
| 110 |
+
- path: /workspace/datasets/dolphin-2.9.2/toolbench_instruct_j1s1_3k_unfiltered.jsonl
|
| 111 |
+
type: sharegpt
|
| 112 |
+
conversation: chatml
|
| 113 |
+
- path: /workspace/datasets/dolphin-2.9.2/toolbench_negative_unfiltered.jsonl
|
| 114 |
+
type: sharegpt
|
| 115 |
+
conversation: chatml
|
| 116 |
+
- path: /workspace/datasets/dolphin-2.9.2/toolbench_react_10p_unfiltered.jsonl
|
| 117 |
+
type: sharegpt
|
| 118 |
+
conversation: chatml
|
| 119 |
+
- path: /workspace/datasets/dolphin-2.9.2/toolbench_tflan_cot_30p_unfiltered.jsonl
|
| 120 |
+
type: sharegpt
|
| 121 |
+
conversation: chatml
|
| 122 |
+
- path: /workspace/datasets/dolphin-2.9.2/agent_instruct_react_unfiltered.jsonl
|
| 123 |
+
type: sharegpt
|
| 124 |
+
conversation: chatml
|
| 125 |
+
|
| 126 |
+
unfrozen_parameters:
|
| 127 |
+
- ^lm_head.weight$
|
| 128 |
+
- ^model.embed_tokens.weight$
|
| 129 |
+
# mlp.down_proj layers
|
| 130 |
+
- model.layers.62.mlp.down_proj
|
| 131 |
+
- model.layers.63.mlp.down_proj
|
| 132 |
+
- model.layers.66.mlp.down_proj
|
| 133 |
+
- model.layers.65.mlp.down_proj
|
| 134 |
+
- model.layers.64.mlp.down_proj
|
| 135 |
+
- model.layers.67.mlp.down_proj
|
| 136 |
+
- model.layers.68.mlp.down_proj
|
| 137 |
+
- model.layers.60.mlp.down_proj
|
| 138 |
+
- model.layers.31.mlp.down_proj
|
| 139 |
+
- model.layers.69.mlp.down_proj
|
| 140 |
+
- model.layers.61.mlp.down_proj
|
| 141 |
+
- model.layers.59.mlp.down_proj
|
| 142 |
+
- model.layers.70.mlp.down_proj
|
| 143 |
+
- model.layers.30.mlp.down_proj
|
| 144 |
+
- model.layers.76.mlp.down_proj
|
| 145 |
+
- model.layers.72.mlp.down_proj
|
| 146 |
+
- model.layers.77.mlp.down_proj
|
| 147 |
+
- model.layers.71.mlp.down_proj
|
| 148 |
+
- model.layers.29.mlp.down_proj
|
| 149 |
+
- model.layers.58.mlp.down_proj
|
| 150 |
+
- model.layers.75.mlp.down_proj
|
| 151 |
+
- model.layers.32.mlp.down_proj
|
| 152 |
+
- model.layers.56.mlp.down_proj
|
| 153 |
+
- model.layers.28.mlp.down_proj
|
| 154 |
+
- model.layers.26.mlp.down_proj
|
| 155 |
+
- model.layers.33.mlp.down_proj
|
| 156 |
+
- model.layers.34.mlp.down_proj
|
| 157 |
+
- model.layers.57.mlp.down_proj
|
| 158 |
+
- model.layers.27.mlp.down_proj
|
| 159 |
+
- model.layers.25.mlp.down_proj
|
| 160 |
+
- model.layers.35.mlp.down_proj
|
| 161 |
+
- model.layers.73.mlp.down_proj
|
| 162 |
+
- model.layers.24.mlp.down_proj
|
| 163 |
+
- model.layers.78.mlp.down_proj
|
| 164 |
+
- model.layers.74.mlp.down_proj
|
| 165 |
+
- model.layers.54.mlp.down_proj
|
| 166 |
+
# mlp.gate_proj layers
|
| 167 |
+
- model.layers.78.mlp.gate_proj
|
| 168 |
+
- model.layers.77.mlp.gate_proj
|
| 169 |
+
- model.layers.76.mlp.gate_proj
|
| 170 |
+
- model.layers.79.mlp.gate_proj
|
| 171 |
+
- model.layers.75.mlp.gate_proj
|
| 172 |
+
- model.layers.74.mlp.gate_proj
|
| 173 |
+
- model.layers.73.mlp.gate_proj
|
| 174 |
+
- model.layers.70.mlp.gate_proj
|
| 175 |
+
- model.layers.72.mlp.gate_proj
|
| 176 |
+
- model.layers.71.mlp.gate_proj
|
| 177 |
+
- model.layers.69.mlp.gate_proj
|
| 178 |
+
- model.layers.54.mlp.gate_proj
|
| 179 |
+
- model.layers.68.mlp.gate_proj
|
| 180 |
+
- model.layers.57.mlp.gate_proj
|
| 181 |
+
- model.layers.63.mlp.gate_proj
|
| 182 |
+
- model.layers.49.mlp.gate_proj
|
| 183 |
+
- model.layers.55.mlp.gate_proj
|
| 184 |
+
- model.layers.53.mlp.gate_proj
|
| 185 |
+
- model.layers.44.mlp.gate_proj
|
| 186 |
+
- model.layers.46.mlp.gate_proj
|
| 187 |
+
- model.layers.67.mlp.gate_proj
|
| 188 |
+
- model.layers.58.mlp.gate_proj
|
| 189 |
+
- model.layers.56.mlp.gate_proj
|
| 190 |
+
- model.layers.45.mlp.gate_proj
|
| 191 |
+
- model.layers.50.mlp.gate_proj
|
| 192 |
+
- model.layers.62.mlp.gate_proj
|
| 193 |
+
- model.layers.64.mlp.gate_proj
|
| 194 |
+
- model.layers.48.mlp.gate_proj
|
| 195 |
+
- model.layers.66.mlp.gate_proj
|
| 196 |
+
- model.layers.52.mlp.gate_proj
|
| 197 |
+
- model.layers.40.mlp.gate_proj
|
| 198 |
+
- model.layers.47.mlp.gate_proj
|
| 199 |
+
- model.layers.43.mlp.gate_proj
|
| 200 |
+
- model.layers.65.mlp.gate_proj
|
| 201 |
+
- model.layers.61.mlp.gate_proj
|
| 202 |
+
- model.layers.59.mlp.gate_proj
|
| 203 |
+
# mlp.up_proj layers
|
| 204 |
+
- model.layers.69.mlp.up_proj
|
| 205 |
+
- model.layers.70.mlp.up_proj
|
| 206 |
+
- model.layers.71.mlp.up_proj
|
| 207 |
+
- model.layers.68.mlp.up_proj
|
| 208 |
+
- model.layers.67.mlp.up_proj
|
| 209 |
+
- model.layers.66.mlp.up_proj
|
| 210 |
+
- model.layers.46.mlp.up_proj
|
| 211 |
+
- model.layers.63.mlp.up_proj
|
| 212 |
+
- model.layers.72.mlp.up_proj
|
| 213 |
+
- model.layers.64.mlp.up_proj
|
| 214 |
+
- model.layers.62.mlp.up_proj
|
| 215 |
+
- model.layers.45.mlp.up_proj
|
| 216 |
+
- model.layers.65.mlp.up_proj
|
| 217 |
+
- model.layers.73.mlp.up_proj
|
| 218 |
+
- model.layers.47.mlp.up_proj
|
| 219 |
+
- model.layers.44.mlp.up_proj
|
| 220 |
+
- model.layers.49.mlp.up_proj
|
| 221 |
+
- model.layers.48.mlp.up_proj
|
| 222 |
+
- model.layers.53.mlp.up_proj
|
| 223 |
+
- model.layers.74.mlp.up_proj
|
| 224 |
+
- model.layers.75.mlp.up_proj
|
| 225 |
+
- model.layers.57.mlp.up_proj
|
| 226 |
+
- model.layers.76.mlp.up_proj
|
| 227 |
+
- model.layers.43.mlp.up_proj
|
| 228 |
+
- model.layers.42.mlp.up_proj
|
| 229 |
+
- model.layers.61.mlp.up_proj
|
| 230 |
+
- model.layers.40.mlp.up_proj
|
| 231 |
+
- model.layers.56.mlp.up_proj
|
| 232 |
+
- model.layers.60.mlp.up_proj
|
| 233 |
+
- model.layers.31.mlp.up_proj
|
| 234 |
+
- model.layers.54.mlp.up_proj
|
| 235 |
+
- model.layers.55.mlp.up_proj
|
| 236 |
+
- model.layers.32.mlp.up_proj
|
| 237 |
+
- model.layers.41.mlp.up_proj
|
| 238 |
+
- model.layers.33.mlp.up_proj
|
| 239 |
+
- model.layers.58.mlp.up_proj
|
| 240 |
+
# self_attn.k_proj layers
|
| 241 |
+
- model.layers.79.self_attn.k_proj
|
| 242 |
+
- model.layers.36.self_attn.k_proj
|
| 243 |
+
- model.layers.35.self_attn.k_proj
|
| 244 |
+
- model.layers.74.self_attn.k_proj
|
| 245 |
+
- model.layers.34.self_attn.k_proj
|
| 246 |
+
- model.layers.78.self_attn.k_proj
|
| 247 |
+
- model.layers.77.self_attn.k_proj
|
| 248 |
+
- model.layers.37.self_attn.k_proj
|
| 249 |
+
- model.layers.39.self_attn.k_proj
|
| 250 |
+
- model.layers.41.self_attn.k_proj
|
| 251 |
+
- model.layers.38.self_attn.k_proj
|
| 252 |
+
- model.layers.33.self_attn.k_proj
|
| 253 |
+
- model.layers.69.self_attn.k_proj
|
| 254 |
+
- model.layers.42.self_attn.k_proj
|
| 255 |
+
- model.layers.32.self_attn.k_proj
|
| 256 |
+
- model.layers.25.self_attn.k_proj
|
| 257 |
+
- model.layers.70.self_attn.k_proj
|
| 258 |
+
- model.layers.22.self_attn.k_proj
|
| 259 |
+
- model.layers.63.self_attn.k_proj
|
| 260 |
+
- model.layers.29.self_attn.k_proj
|
| 261 |
+
- model.layers.68.self_attn.k_proj
|
| 262 |
+
- model.layers.24.self_attn.k_proj
|
| 263 |
+
- model.layers.30.self_attn.k_proj
|
| 264 |
+
- model.layers.66.self_attn.k_proj
|
| 265 |
+
- model.layers.31.self_attn.k_proj
|
| 266 |
+
- model.layers.23.self_attn.k_proj
|
| 267 |
+
- model.layers.65.self_attn.k_proj
|
| 268 |
+
- model.layers.57.self_attn.k_proj
|
| 269 |
+
- model.layers.28.self_attn.k_proj
|
| 270 |
+
- model.layers.64.self_attn.k_proj
|
| 271 |
+
- model.layers.44.self_attn.k_proj
|
| 272 |
+
- model.layers.27.self_attn.k_proj
|
| 273 |
+
- model.layers.75.self_attn.k_proj
|
| 274 |
+
- model.layers.40.self_attn.k_proj
|
| 275 |
+
- model.layers.26.self_attn.k_proj
|
| 276 |
+
- model.layers.61.self_attn.k_proj
|
| 277 |
+
# self_attn.o_proj layers
|
| 278 |
+
- model.layers.14.self_attn.o_proj
|
| 279 |
+
- model.layers.39.self_attn.o_proj
|
| 280 |
+
- model.layers.19.self_attn.o_proj
|
| 281 |
+
- model.layers.16.self_attn.o_proj
|
| 282 |
+
- model.layers.17.self_attn.o_proj
|
| 283 |
+
- model.layers.15.self_attn.o_proj
|
| 284 |
+
- model.layers.69.self_attn.o_proj
|
| 285 |
+
- model.layers.12.self_attn.o_proj
|
| 286 |
+
- model.layers.42.self_attn.o_proj
|
| 287 |
+
- model.layers.23.self_attn.o_proj
|
| 288 |
+
- model.layers.22.self_attn.o_proj
|
| 289 |
+
- model.layers.29.self_attn.o_proj
|
| 290 |
+
- model.layers.13.self_attn.o_proj
|
| 291 |
+
- model.layers.46.self_attn.o_proj
|
| 292 |
+
- model.layers.52.self_attn.o_proj
|
| 293 |
+
- model.layers.26.self_attn.o_proj
|
| 294 |
+
- model.layers.38.self_attn.o_proj
|
| 295 |
+
- model.layers.41.self_attn.o_proj
|
| 296 |
+
- model.layers.18.self_attn.o_proj
|
| 297 |
+
- model.layers.49.self_attn.o_proj
|
| 298 |
+
- model.layers.11.self_attn.o_proj
|
| 299 |
+
- model.layers.28.self_attn.o_proj
|
| 300 |
+
- model.layers.25.self_attn.o_proj
|
| 301 |
+
- model.layers.47.self_attn.o_proj
|
| 302 |
+
- model.layers.53.self_attn.o_proj
|
| 303 |
+
- model.layers.27.self_attn.o_proj
|
| 304 |
+
- model.layers.37.self_attn.o_proj
|
| 305 |
+
- model.layers.20.self_attn.o_proj
|
| 306 |
+
- model.layers.43.self_attn.o_proj
|
| 307 |
+
- model.layers.44.self_attn.o_proj
|
| 308 |
+
- model.layers.45.self_attn.o_proj
|
| 309 |
+
- model.layers.30.self_attn.o_proj
|
| 310 |
+
- model.layers.24.self_attn.o_proj
|
| 311 |
+
- model.layers.21.self_attn.o_proj
|
| 312 |
+
- model.layers.10.self_attn.o_proj
|
| 313 |
+
- model.layers.3.self_attn.o_proj
|
| 314 |
+
# self_attn.q_proj layers
|
| 315 |
+
- model.layers.1.self_attn.q_proj
|
| 316 |
+
- model.layers.2.self_attn.q_proj
|
| 317 |
+
- model.layers.3.self_attn.q_proj
|
| 318 |
+
- model.layers.5.self_attn.q_proj
|
| 319 |
+
- model.layers.4.self_attn.q_proj
|
| 320 |
+
- model.layers.0.self_attn.q_proj
|
| 321 |
+
- model.layers.6.self_attn.q_proj
|
| 322 |
+
- model.layers.8.self_attn.q_proj
|
| 323 |
+
- model.layers.7.self_attn.q_proj
|
| 324 |
+
- model.layers.9.self_attn.q_proj
|
| 325 |
+
- model.layers.10.self_attn.q_proj
|
| 326 |
+
- model.layers.12.self_attn.q_proj
|
| 327 |
+
- model.layers.19.self_attn.q_proj
|
| 328 |
+
- model.layers.18.self_attn.q_proj
|
| 329 |
+
- model.layers.25.self_attn.q_proj
|
| 330 |
+
- model.layers.11.self_attn.q_proj
|
| 331 |
+
- model.layers.15.self_attn.q_proj
|
| 332 |
+
- model.layers.61.self_attn.q_proj
|
| 333 |
+
- model.layers.17.self_attn.q_proj
|
| 334 |
+
- model.layers.55.self_attn.q_proj
|
| 335 |
+
- model.layers.54.self_attn.q_proj
|
| 336 |
+
- model.layers.16.self_attn.q_proj
|
| 337 |
+
- model.layers.68.self_attn.q_proj
|
| 338 |
+
- model.layers.49.self_attn.q_proj
|
| 339 |
+
- model.layers.48.self_attn.q_proj
|
| 340 |
+
- model.layers.52.self_attn.q_proj
|
| 341 |
+
- model.layers.13.self_attn.q_proj
|
| 342 |
+
- model.layers.42.self_attn.q_proj
|
| 343 |
+
- model.layers.57.self_attn.q_proj
|
| 344 |
+
- model.layers.60.self_attn.q_proj
|
| 345 |
+
- model.layers.53.self_attn.q_proj
|
| 346 |
+
- model.layers.64.self_attn.q_proj
|
| 347 |
+
- model.layers.66.self_attn.q_proj
|
| 348 |
+
- model.layers.62.self_attn.q_proj
|
| 349 |
+
- model.layers.59.self_attn.q_proj
|
| 350 |
+
- model.layers.50.self_attn.q_proj
|
| 351 |
+
# self_attn.v_proj layers
|
| 352 |
+
- model.layers.15.self_attn.v_proj
|
| 353 |
+
- model.layers.16.self_attn.v_proj
|
| 354 |
+
- model.layers.23.self_attn.v_proj
|
| 355 |
+
- model.layers.24.self_attn.v_proj
|
| 356 |
+
- model.layers.25.self_attn.v_proj
|
| 357 |
+
- model.layers.26.self_attn.v_proj
|
| 358 |
+
- model.layers.27.self_attn.v_proj
|
| 359 |
+
- model.layers.28.self_attn.v_proj
|
| 360 |
+
- model.layers.29.self_attn.v_proj
|
| 361 |
+
- model.layers.30.self_attn.v_proj
|
| 362 |
+
- model.layers.31.self_attn.v_proj
|
| 363 |
+
- model.layers.32.self_attn.v_proj
|
| 364 |
+
- model.layers.33.self_attn.v_proj
|
| 365 |
+
- model.layers.34.self_attn.v_proj
|
| 366 |
+
- model.layers.35.self_attn.v_proj
|
| 367 |
+
- model.layers.36.self_attn.v_proj
|
| 368 |
+
- model.layers.37.self_attn.v_proj
|
| 369 |
+
- model.layers.38.self_attn.v_proj
|
| 370 |
+
- model.layers.39.self_attn.v_proj
|
| 371 |
+
- model.layers.41.self_attn.v_proj
|
| 372 |
+
- model.layers.42.self_attn.v_proj
|
| 373 |
+
- model.layers.48.self_attn.v_proj
|
| 374 |
+
- model.layers.53.self_attn.v_proj
|
| 375 |
+
- model.layers.57.self_attn.v_proj
|
| 376 |
+
- model.layers.58.self_attn.v_proj
|
| 377 |
+
- model.layers.59.self_attn.v_proj
|
| 378 |
+
- model.layers.61.self_attn.v_proj
|
| 379 |
+
- model.layers.63.self_attn.v_proj
|
| 380 |
+
- model.layers.64.self_attn.v_proj
|
| 381 |
+
- model.layers.65.self_attn.v_proj
|
| 382 |
+
- model.layers.66.self_attn.v_proj
|
| 383 |
+
- model.layers.69.self_attn.v_proj
|
| 384 |
+
- model.layers.74.self_attn.v_proj
|
| 385 |
+
- model.layers.75.self_attn.v_proj
|
| 386 |
+
- model.layers.76.self_attn.v_proj
|
| 387 |
+
- model.layers.72.self_attn.v_proj
|
| 388 |
+
|
| 389 |
+
|
| 390 |
+
chat_template: chatml
|
| 391 |
+
dataset_prepared_path: qwen2-72b-data
|
| 392 |
+
val_set_size: 0.01
|
| 393 |
+
output_dir: qwen2-72b
|
| 394 |
+
|
| 395 |
+
sequence_len: 8192 # supports up to 8192
|
| 396 |
+
sample_packing: true
|
| 397 |
+
pad_to_sequence_len: true
|
| 398 |
+
|
| 399 |
+
# adapter: lora
|
| 400 |
+
# lora_model_dir:
|
| 401 |
+
# lora_r: 32
|
| 402 |
+
# lora_alpha: 16
|
| 403 |
+
# lora_dropout: 0.05
|
| 404 |
+
# lora_target_linear: true
|
| 405 |
+
# lora_fan_in_fan_out:
|
| 406 |
+
|
| 407 |
+
wandb_project: qwen2-72b
|
| 408 |
+
wandb_entity:
|
| 409 |
+
wandb_watch:
|
| 410 |
+
wandb_name:
|
| 411 |
+
wandb_log_model:
|
| 412 |
+
|
| 413 |
+
gradient_accumulation_steps: 8
|
| 414 |
+
micro_batch_size: 1
|
| 415 |
+
num_epochs: 3
|
| 416 |
+
optimizer: paged_adamw_8bit
|
| 417 |
+
lr_scheduler: cosine
|
| 418 |
+
learning_rate: 1e-5
|
| 419 |
+
|
| 420 |
+
train_on_inputs: false
|
| 421 |
+
group_by_length: false
|
| 422 |
+
bf16: auto
|
| 423 |
+
fp16:
|
| 424 |
+
tf32: false
|
| 425 |
+
|
| 426 |
+
gradient_checkpointing: true
|
| 427 |
+
early_stopping_patience:
|
| 428 |
+
resume_from_checkpoint:
|
| 429 |
+
local_rank:
|
| 430 |
+
logging_steps: 1
|
| 431 |
+
xformers_attention:
|
| 432 |
+
flash_attention: true
|
| 433 |
+
|
| 434 |
+
warmup_steps: 10
|
| 435 |
+
evals_per_epoch: 2
|
| 436 |
+
eval_table_size:
|
| 437 |
+
eval_max_new_tokens: 128
|
| 438 |
+
saves_per_epoch: 4
|
| 439 |
+
save_total_limit: 2
|
| 440 |
+
debug:
|
| 441 |
+
deepspeed: /workspace/axolotl/deepspeed_configs/zero3_bf16_cpuoffload_params.json
|
| 442 |
+
weight_decay: 0.05
|
| 443 |
+
fsdp:
|
| 444 |
+
fsdp_config:
|
| 445 |
+
special_tokens:
|
| 446 |
+
pad_token: "<|endoftext|>"
|
| 447 |
+
eos_token: "<|im_end|>"
|
| 448 |
+
|
| 449 |
+
```
|
| 450 |
+
|
added_tokens.json
ADDED
|
@@ -0,0 +1,5 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"<|endoftext|>": 151643,
|
| 3 |
+
"<|im_end|>": 151645,
|
| 4 |
+
"<|im_start|>": 151644
|
| 5 |
+
}
|
config.json
ADDED
|
@@ -0,0 +1,39 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_name_or_path": "Qwen/Qwen2-72B",
|
| 3 |
+
"architectures": [
|
| 4 |
+
"Qwen2ForCausalLM"
|
| 5 |
+
],
|
| 6 |
+
"attention_dropout": 0.0,
|
| 7 |
+
"bos_token_id": 151644,
|
| 8 |
+
"eos_token_id": 151645,
|
| 9 |
+
"hidden_act": "silu",
|
| 10 |
+
"hidden_size": 8192,
|
| 11 |
+
"initializer_range": 0.02,
|
| 12 |
+
"intermediate_size": 29568,
|
| 13 |
+
"max_position_embeddings": 131072,
|
| 14 |
+
"max_window_layers": 28,
|
| 15 |
+
"model_type": "qwen2",
|
| 16 |
+
"num_attention_heads": 64,
|
| 17 |
+
"num_hidden_layers": 80,
|
| 18 |
+
"num_key_value_heads": 8,
|
| 19 |
+
"rms_norm_eps": 1e-05,
|
| 20 |
+
"rope_theta": 1000000.0,
|
| 21 |
+
"sliding_window": 4096,
|
| 22 |
+
"tie_word_embeddings": false,
|
| 23 |
+
"torch_dtype": "bfloat16",
|
| 24 |
+
"transformers_version": "4.40.2",
|
| 25 |
+
"use_cache": false,
|
| 26 |
+
"use_sliding_window": false,
|
| 27 |
+
"vocab_size": 152064,
|
| 28 |
+
"quantization_config": {
|
| 29 |
+
"quant_method": "exl2",
|
| 30 |
+
"version": "0.1.5",
|
| 31 |
+
"bits": 6.0,
|
| 32 |
+
"head_bits": 6,
|
| 33 |
+
"calibration": {
|
| 34 |
+
"rows": 100,
|
| 35 |
+
"length": 2048,
|
| 36 |
+
"dataset": "(default)"
|
| 37 |
+
}
|
| 38 |
+
}
|
| 39 |
+
}
|
config.json.backup
ADDED
|
@@ -0,0 +1,39 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_name_or_path": "Qwen/Qwen2-72B",
|
| 3 |
+
"architectures": [
|
| 4 |
+
"Qwen2ForCausalLM"
|
| 5 |
+
],
|
| 6 |
+
"attention_dropout": 0.0,
|
| 7 |
+
"bos_token_id": 151643,
|
| 8 |
+
"eos_token_id": 151645,
|
| 9 |
+
"hidden_act": "silu",
|
| 10 |
+
"hidden_size": 8192,
|
| 11 |
+
"initializer_range": 0.02,
|
| 12 |
+
"intermediate_size": 29568,
|
| 13 |
+
"max_position_embeddings": 131072,
|
| 14 |
+
"max_window_layers": 28,
|
| 15 |
+
"model_type": "qwen2",
|
| 16 |
+
"num_attention_heads": 64,
|
| 17 |
+
"num_hidden_layers": 80,
|
| 18 |
+
"num_key_value_heads": 8,
|
| 19 |
+
"rms_norm_eps": 1e-05,
|
| 20 |
+
"rope_theta": 1000000.0,
|
| 21 |
+
"sliding_window": 4096,
|
| 22 |
+
"tie_word_embeddings": false,
|
| 23 |
+
"torch_dtype": "bfloat16",
|
| 24 |
+
"transformers_version": "4.40.2",
|
| 25 |
+
"use_cache": false,
|
| 26 |
+
"use_sliding_window": false,
|
| 27 |
+
"vocab_size": 152064,
|
| 28 |
+
"quantization_config": {
|
| 29 |
+
"quant_method": "exl2",
|
| 30 |
+
"version": "0.1.5",
|
| 31 |
+
"bits": 6.0,
|
| 32 |
+
"head_bits": 6,
|
| 33 |
+
"calibration": {
|
| 34 |
+
"rows": 100,
|
| 35 |
+
"length": 2048,
|
| 36 |
+
"dataset": "(default)"
|
| 37 |
+
}
|
| 38 |
+
}
|
| 39 |
+
}
|
generation_config.json
ADDED
|
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token_id": 151644,
|
| 3 |
+
"do_sample": true,
|
| 4 |
+
"eos_token_id": 151645,
|
| 5 |
+
"max_new_tokens": 2048,
|
| 6 |
+
"transformers_version": "4.40.2"
|
| 7 |
+
}
|
merges.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
model.safetensors.index.json
ADDED
|
@@ -0,0 +1,970 @@
|
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output-00008-of-00008.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:52a32fe32075d231effabbfacfc54a43504b9933e30560f32a80381488dbb152
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size 4011983022
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special_tokens_map.json
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{
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"additional_special_tokens": [
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"<|im_start|>",
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"<|im_end|>"
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],
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"eos_token": {
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"content": "<|im_end|>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"pad_token": {
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"content": "<|endoftext|>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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}
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}
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tokenizer.json
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tokenizer_config.json
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{
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"add_prefix_space": false,
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"added_tokens_decoder": {
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"151643": {
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"content": "<|endoftext|>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"151644": {
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"content": "<|im_start|>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"151645": {
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"content": "<|im_end|>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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}
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},
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"additional_special_tokens": [
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"<|im_start|>",
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"<|im_end|>"
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],
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"bos_token": "<|im_start|>",
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"chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% for message in messages %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}",
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"clean_up_tokenization_spaces": false,
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"eos_token": "<|im_end|>",
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"errors": "replace",
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| 38 |
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"model_max_length": 32768,
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| 39 |
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"pad_token": "<|endoftext|>",
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"split_special_tokens": false,
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"skip_special_tokens": false,
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"tokenizer_class": "Qwen2Tokenizer",
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"unk_token": null
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}
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vocab.json
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