Initial commit
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- logs.txt +332 -0
- mlc-chat-config.json +79 -0
- ndarray-cache.json +0 -0
- params_shard_0.bin +3 -0
- params_shard_1.bin +3 -0
- params_shard_10.bin +3 -0
- params_shard_100.bin +3 -0
- params_shard_101.bin +3 -0
- params_shard_102.bin +3 -0
- params_shard_103.bin +3 -0
- params_shard_104.bin +3 -0
- params_shard_105.bin +3 -0
- params_shard_106.bin +3 -0
- params_shard_107.bin +3 -0
- params_shard_108.bin +3 -0
- params_shard_109.bin +3 -0
- params_shard_11.bin +3 -0
- params_shard_110.bin +3 -0
- params_shard_111.bin +3 -0
- params_shard_112.bin +3 -0
- params_shard_113.bin +3 -0
- params_shard_114.bin +3 -0
- params_shard_115.bin +3 -0
- params_shard_116.bin +3 -0
- params_shard_117.bin +3 -0
- params_shard_118.bin +3 -0
- params_shard_119.bin +3 -0
- params_shard_12.bin +3 -0
- params_shard_120.bin +3 -0
- params_shard_121.bin +3 -0
- params_shard_122.bin +3 -0
- params_shard_123.bin +3 -0
- params_shard_124.bin +3 -0
- params_shard_125.bin +3 -0
- params_shard_126.bin +3 -0
- params_shard_127.bin +3 -0
- params_shard_128.bin +3 -0
- params_shard_129.bin +3 -0
- params_shard_13.bin +3 -0
- params_shard_130.bin +3 -0
- params_shard_14.bin +3 -0
- params_shard_15.bin +3 -0
- params_shard_16.bin +3 -0
- params_shard_17.bin +3 -0
- params_shard_18.bin +3 -0
- params_shard_19.bin +3 -0
- params_shard_2.bin +3 -0
- params_shard_20.bin +3 -0
- params_shard_21.bin +3 -0
- params_shard_22.bin +3 -0
logs.txt
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1 |
+
/opt/conda/envs/py310/bin/python -m mlc_llm gen_config /models/Mixtral-8x7B-Instruct-v0.1 --quantization q0f16 --conv-template mistral_default --output /models/mlc-delivery/hf/mlc-ai/Mixtral-8x7B-Instruct-v0.1-q0f16-MLC
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[2024-06-06 22:24:15] INFO auto_config.py:116: [92mFound[0m model configuration: /models/Mixtral-8x7B-Instruct-v0.1/config.json
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[2024-06-06 22:24:15] INFO auto_config.py:154: [92mFound[0m model type: [1mmixtral[0m. Use `--model-type` to override.
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[2024-06-06 22:24:15] INFO llama_model.py:52: [1mcontext_window_size[0m not found in config.json. Falling back to [1mmax_position_embeddings[0m (32768)
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[2024-06-06 22:24:15] INFO llama_model.py:72: [1mprefill_chunk_size[0m defaults to 2048
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[2024-06-06 22:24:15] INFO gen_config.py:155: [92mFound[0m tokenizer config: /models/Mixtral-8x7B-Instruct-v0.1/tokenizer.json. Copying to [1m/models/mlc-delivery/hf/mlc-ai/Mixtral-8x7B-Instruct-v0.1-q0f16-MLC/tokenizer.json[0m
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[2024-06-06 22:24:15] INFO gen_config.py:155: [92mFound[0m tokenizer config: /models/Mixtral-8x7B-Instruct-v0.1/tokenizer_config.json. Copying to [1m/models/mlc-delivery/hf/mlc-ai/Mixtral-8x7B-Instruct-v0.1-q0f16-MLC/tokenizer_config.json[0m
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[2024-06-06 22:24:15] INFO gen_config.py:216: Detected tokenizer info: {'token_postproc_method': 'byte_fallback', 'prepend_space_in_encode': True, 'strip_space_in_decode': True}
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/opt/conda/envs/py310/bin/python -m mlc_llm convert_weight /models/Mixtral-8x7B-Instruct-v0.1 --quantization q0f16 --output /models/mlc-delivery/hf/mlc-ai/Mixtral-8x7B-Instruct-v0.1-q0f16-MLC
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[2024-06-06 22:24:18] INFO auto_device.py:79: [92mFound[0m device: cuda:0
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[2024-06-06 22:24:24] INFO auto_weight.py:71: Finding weights in: /models/Mixtral-8x7B-Instruct-v0.1
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[2024-06-06 22:24:24] INFO auto_weight.py:137: [91mNot found[0m Huggingface PyTorch
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[2024-06-06 22:24:24] INFO auto_weight.py:144: [92mFound[0m source weight format: huggingface-safetensor. Source configuration: /models/Mixtral-8x7B-Instruct-v0.1/model.safetensors.index.json
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[2024-06-06 22:24:24] INFO auto_weight.py:107: Using source weight configuration: [1m/models/Mixtral-8x7B-Instruct-v0.1/model.safetensors.index.json[0m. Use `--source` to override.
|
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[2024-06-06 22:24:24] INFO auto_weight.py:111: Using source weight format: [1mhuggingface-safetensor[0m. Use `--source-format` to override.
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[2024-06-06 22:24:24] INFO auto_config.py:154: [92mFound[0m model type: [1mmixtral[0m. Use `--model-type` to override.
|
40 |
+
[2024-06-06 22:24:24] INFO llama_model.py:52: [1mcontext_window_size[0m not found in config.json. Falling back to [1mmax_position_embeddings[0m (32768)
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[2024-06-06 22:24:24] INFO llama_model.py:72: [1mprefill_chunk_size[0m defaults to 2048
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[1mWeight conversion with arguments:[0m
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[1m--config[0m /models/Mixtral-8x7B-Instruct-v0.1/config.json
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[1m--quantization[0m NoQuantize(name='q0f16', kind='no-quant', model_dtype='float16')
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[1m--model-type[0m mixtral
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[1m--output[0m /models/mlc-delivery/hf/mlc-ai/Mixtral-8x7B-Instruct-v0.1-q0f16-MLC
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9%|▉ | 21/227 [01:37<05:51, 1.71s/it]
|
149 |
10%|▉ | 22/227 [01:42<21:45, 6.37s/it]
|
150 |
|
151 |
+
|
152 |
10%|▉ | 22/227 [01:47<21:45, 6.37s/it]
|
153 |
10%|█ | 23/227 [01:50<22:49, 6.71s/it]
|
154 |
|
155 |
+
|
156 |
10%|█ | 23/227 [01:50<22:49, 6.71s/it]
|
157 |
11%|█ | 24/227 [01:50<17:29, 5.17s/it]
|
158 |
|
159 |
+
|
160 |
11%|█ | 24/227 [01:50<17:29, 5.17s/it]
|
161 |
11%|█ | 25/227 [01:51<13:16, 3.94s/it]
|
162 |
|
163 |
+
|
164 |
11%|█ | 25/227 [01:51<13:16, 3.94s/it]
|
165 |
11%|█▏ | 26/227 [01:51<09:52, 2.95s/it]
|
166 |
|
167 |
+
|
168 |
11%|█▏ | 26/227 [01:51<09:52, 2.95s/it]
|
169 |
|
170 |
+
|
171 |
11%|█▏ | 26/227 [01:51<09:52, 2.95s/it]
|
172 |
|
173 |
+
|
174 |
11%|█▏ | 26/227 [02:01<09:52, 2.95s/it]
|
175 |
13%|█▎ | 29/227 [02:06<13:32, 4.10s/it]
|
176 |
|
177 |
+
|
178 |
13%|█▎ | 29/227 [02:10<13:32, 4.10s/it]
|
179 |
13%|█▎ | 30/227 [02:13<15:09, 4.62s/it]
|
180 |
|
181 |
+
|
182 |
13%|█▎ | 30/227 [02:13<15:09, 4.62s/it]
|
183 |
|
184 |
+
|
185 |
13%|█▎ | 30/227 [02:13<15:09, 4.62s/it]
|
186 |
|
187 |
+
|
188 |
13%|█▎ | 30/227 [02:13<15:09, 4.62s/it]
|
189 |
|
190 |
+
|
191 |
13%|█▎ | 30/227 [02:13<15:09, 4.62s/it]
|
192 |
15%|█▍ | 34/227 [02:13<07:02, 2.19s/it]
|
193 |
|
194 |
+
|
195 |
15%|█▍ | 34/227 [02:13<07:02, 2.19s/it]
|
196 |
15%|█▌ | 35/227 [02:13<05:57, 1.86s/it]
|
197 |
|
198 |
+
|
199 |
15%|█▌ | 35/227 [02:13<05:57, 1.86s/it]
|
200 |
|
201 |
+
|
202 |
15%|█▌ | 35/227 [02:14<05:57, 1.86s/it]
|
203 |
|
204 |
+
|
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15%|█▌ | 35/227 [02:29<05:57, 1.86s/it]
|
206 |
16%|█▌ | 36/227 [02:34<17:13, 5.41s/it]
|
207 |
|
208 |
+
|
209 |
16%|█▌ | 36/227 [02:40<17:13, 5.41s/it]
|
210 |
16%|█▋ | 37/227 [02:42<18:59, 6.00s/it]
|
211 |
|
212 |
+
|
213 |
16%|█▋ | 37/227 [02:42<18:59, 6.00s/it]
|
214 |
17%|█▋ | 38/227 [02:42<14:36, 4.64s/it]
|
215 |
|
216 |
+
|
217 |
17%|█▋ | 38/227 [02:43<14:36, 4.64s/it]
|
218 |
17%|█▋ | 39/227 [02:43<11:06, 3.54s/it]
|
219 |
|
220 |
+
|
221 |
17%|█▋ | 39/227 [02:43<11:06, 3.54s/it]
|
222 |
18%|█▊ | 40/227 [02:43<08:17, 2.66s/it]
|
223 |
|
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+
|
225 |
18%|█▊ | 40/227 [02:43<08:17, 2.66s/it]
|
226 |
|
227 |
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18%|█▊ | 40/227 [02:43<08:17, 2.66s/it]
|
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|
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18%|█▊ | 40/227 [02:44<08:17, 2.66s/it]
|
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|
233 |
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18%|█▊ | 40/227 [02:48<08:17, 2.66s/it]
|
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|
236 |
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18%|█▊ | 40/227 [03:01<08:17, 2.66s/it]
|
238 |
18%|█▊ | 41/227 [03:05<24:54, 8.03s/it]
|
239 |
|
240 |
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18%|█▊ | 41/227 [03:11<24:54, 8.03s/it]
|
242 |
19%|█▊ | 42/227 [03:13<24:48, 8.05s/it]
|
243 |
|
244 |
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|
245 |
19%|█▊ | 42/227 [03:13<24:48, 8.05s/it]
|
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|
247 |
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19%|█▊ | 42/227 [03:14<24:48, 8.05s/it]
|
249 |
19%|█▉ | 44/227 [03:14<13:51, 4.54s/it]
|
250 |
|
251 |
+
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252 |
19%|█▉ | 44/227 [03:14<13:51, 4.54s/it]
|
253 |
20%|█▉ | 45/227 [03:14<10:34, 3.49s/it]
|
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|
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20%|█▉ | 45/227 [03:14<10:34, 3.49s/it]
|
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258 |
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20%|█▉ | 45/227 [03:14<10:34, 3.49s/it]
|
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261 |
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20%|█▉ | 45/227 [03:20<10:34, 3.49s/it]
|
263 |
20%|██ | 46/227 [03:22<14:28, 4.80s/it]
|
264 |
|
265 |
+
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266 |
20%|██ | 46/227 [03:35<14:28, 4.80s/it]
|
267 |
21%|██ | 47/227 [03:40<24:25, 8.14s/it]
|
268 |
|
269 |
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21%|██ | 47/227 [03:40<24:25, 8.14s/it]
|
271 |
21%|██ | 48/227 [03:40<17:42, 5.94s/it]
|
272 |
|
273 |
+
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274 |
21%|██ | 48/227 [03:40<17:42, 5.94s/it]
|
275 |
|
276 |
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21%|██ | 48/227 [03:48<17:42, 5.94s/it]
|
278 |
22%|██▏ | 50/227 [03:52<17:57, 6.09s/it]
|
279 |
|
280 |
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281 |
22%|██▏ | 50/227 [03:57<17:57, 6.09s/it]
|
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22%|██▏ | 51/227 [03:59<18:27, 6.29s/it]
|
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22%|██▏ | 51/227 [03:59<18:27, 6.29s/it]
|
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22%|██▏ | 51/227 [03:59<18:27, 6.29s/it]
|
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22%|██▏ | 51/227 [03:59<18:27, 6.29s/it]
|
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|
293 |
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22%|██▏ | 51/227 [04:00<18:27, 6.29s/it]
|
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24%|██▍ | 55/227 [04:00<07:45, 2.70s/it]
|
296 |
|
297 |
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|
298 |
24%|██▍ | 55/227 [04:00<07:45, 2.70s/it]
|
299 |
25%|██▍ | 56/227 [04:00<06:27, 2.27s/it]
|
300 |
|
301 |
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|
302 |
25%|██▍ | 56/227 [04:00<06:27, 2.27s/it]
|
303 |
|
304 |
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|
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25%|██▍ | 56/227 [04:01<06:27, 2.27s/it]
|
306 |
|
307 |
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25%|██▍ | 56/227 [04:01<06:27, 2.27s/it]
|
309 |
|
310 |
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25%|██▍ | 56/227 [04:05<06:27, 2.27s/it]
|
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25%|██▌ | 57/227 [04:05<08:02, 2.84s/it]
|
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|
314 |
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|
315 |
25%|██▌ | 57/227 [04:05<08:02, 2.84s/it]
|
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|
317 |
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25%|██▌ | 57/227 [04:05<08:02, 2.84s/it]
|
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320 |
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25%|██▌ | 57/227 [04:18<08:02, 2.84s/it]
|
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26%|██▌ | 59/227 [04:22<13:51, 4.95s/it]
|
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|
324 |
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26%|██▌ | 59/227 [04:27<13:51, 4.95s/it]
|
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26%|██▋ | 60/227 [04:30<15:08, 5.44s/it]
|
327 |
|
328 |
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|
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26%|██▋ | 60/227 [04:30<15:08, 5.44s/it]
|
330 |
|
331 |
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26%|██▋ | 60/227 [04:30<15:08, 5.44s/it]
|
333 |
27%|██▋ | 62/227 [04:30<09:36, 3.49s/it]
|
334 |
|
335 |
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27%|██▋ | 62/227 [04:30<09:36, 3.49s/it]
|
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28%|██▊ | 63/227 [04:30<07:38, 2.80s/it]
|
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|
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|
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28%|██▊ | 63/227 [04:30<07:38, 2.80s/it]
|
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|
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28%|██▊ | 63/227 [04:30<07:38, 2.80s/it]
|
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28%|██▊ | 63/227 [04:41<07:38, 2.80s/it]
|
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29%|██▉ | 66/227 [04:45<10:21, 3.86s/it]
|
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29%|██▉ | 66/227 [04:47<10:21, 3.86s/it]
|
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30%|██▉ | 67/227 [04:50<10:37, 3.99s/it]
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30%|██▉ | 67/227 [04:50<10:37, 3.99s/it]
|
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30%|██▉ | 68/227 [04:50<08:25, 3.18s/it]
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30%|██▉ | 68/227 [04:50<08:25, 3.18s/it]
|
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30%|██▉ | 68/227 [04:50<08:25, 3.18s/it]
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30%|██▉ | 68/227 [04:50<08:25, 3.18s/it]
|
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31%|███▏ | 71/227 [04:50<04:28, 1.72s/it]
|
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|
367 |
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|
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31%|███▏ | 71/227 [04:50<04:28, 1.72s/it]
|
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32%|███▏ | 72/227 [04:51<03:42, 1.44s/it]
|
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|
371 |
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|
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32%|███▏ | 72/227 [04:51<03:42, 1.44s/it]
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|
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32%|███▏ | 72/227 [04:51<03:42, 1.44s/it]
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|
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32%|███▏ | 72/227 [05:01<03:42, 1.44s/it]
|
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32%|███▏ | 73/227 [05:06<11:14, 4.38s/it]
|
380 |
|
381 |
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|
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32%|███▏ | 73/227 [05:08<11:14, 4.38s/it]
|
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33%|███▎ | 74/227 [05:11<11:14, 4.41s/it]
|
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|
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|
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33%|███▎ | 74/227 [05:11<11:14, 4.41s/it]
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|
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33%|███▎ | 74/227 [05:11<11:14, 4.41s/it]
|
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33%|███▎ | 76/227 [05:11<06:52, 2.73s/it]
|
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|
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|
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33%|███▎ | 76/227 [05:11<06:52, 2.73s/it]
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34%|███▍ | 77/227 [05:11<05:24, 2.16s/it]
|
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34%|███▍ | 77/227 [05:11<05:24, 2.16s/it]
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34%|███▍ | 77/227 [05:11<05:24, 2.16s/it]
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|
402 |
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|
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34%|███▍ | 77/227 [05:17<05:24, 2.16s/it]
|
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35%|███▌ | 80/227 [05:22<07:03, 2.88s/it]
|
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|
406 |
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|
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35%|███▌ | 80/227 [05:24<07:03, 2.88s/it]
|
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36%|███▌ | 81/227 [05:26<07:40, 3.16s/it]
|
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|
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|
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36%|███▌ | 81/227 [05:26<07:40, 3.16s/it]
|
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36%|███▌ | 81/227 [05:26<07:40, 3.16s/it]
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|
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36%|███▌ | 81/227 [05:26<07:40, 3.16s/it]
|
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|
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36%|███▌ | 81/227 [05:27<07:40, 3.16s/it]
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37%|███▋ | 85/227 [05:27<03:41, 1.56s/it]
|
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37%|███▋ | 85/227 [05:27<03:41, 1.56s/it]
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38%|███▊ | 86/227 [05:27<03:09, 1.34s/it]
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38%|███▊ | 86/227 [05:27<03:09, 1.34s/it]
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38%|███▊ | 86/227 [05:38<03:09, 1.34s/it]
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38%|███▊ | 87/227 [05:43<09:14, 3.96s/it]
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38%|███▊ | 87/227 [05:46<09:14, 3.96s/it]
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39%|███▉ | 88/227 [05:49<10:20, 4.47s/it]
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39%|███▉ | 88/227 [05:49<10:20, 4.47s/it]
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39%|███▉ | 88/227 [05:49<10:20, 4.47s/it]
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40%|███▉ | 90/227 [05:49<06:32, 2.87s/it]
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40%|███▉ | 90/227 [05:49<06:32, 2.87s/it]
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40%|████ | 91/227 [05:49<05:12, 2.30s/it]
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41%|████▏ | 94/227 [06:09<09:24, 4.25s/it]
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41%|████▏ | 94/227 [06:14<09:24, 4.25s/it]
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42%|████▏ | 95/227 [06:17<10:47, 4.91s/it]
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43%|████▎ | 97/227 [06:17<07:05, 3.27s/it]
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48%|████▊ | 108/227 [07:00<09:20, 4.71s/it]
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48%|████▊ | 109/227 [07:02<10:20, 5.26s/it]
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[2024-06-06 22:39:06] INFO huggingface_loader.py:197: Unloading HF weight file: /models/Mixtral-8x7B-Instruct-v0.1/model-00004-of-00019.safetensors
|
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+
[2024-06-06 22:39:06] INFO huggingface_loader.py:197: Unloading HF weight file: /models/Mixtral-8x7B-Instruct-v0.1/model-00005-of-00019.safetensors
|
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[2024-06-06 22:39:07] INFO stats.py:77: [92mTime usage[0m: HF loading: 108.338 sec; Pre-quantization mapping: 421.469 sec; Quantization: 0.000 sec
|
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[2024-06-06 22:39:07] INFO stats.py:91: [92mRAM usage[0m: Peak RAM: 18.563 GB. Total bytes loaded from disk: 210.951 GB
|
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+
[2024-06-06 22:39:07] INFO convert_weight.py:155: [92mParameter size[0m after quantization: 86.991 GB
|
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[2024-06-06 22:39:07] INFO convert_weight.py:160: [92mTotal parameters[0m: 56,626,802,688
|
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[2024-06-06 22:39:07] INFO convert_weight.py:161: [92mBits per parameter[0m: 13.196
|
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[2024-06-06 22:39:07] INFO convert_weight.py:166: Saved to directory: [1m/models/mlc-delivery/hf/mlc-ai/Mixtral-8x7B-Instruct-v0.1-q0f16-MLC[0m
|
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|
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All finished, 131 total shards committed, record saved to /models/mlc-delivery/hf/mlc-ai/Mixtral-8x7B-Instruct-v0.1-q0f16-MLC/ndarray-cache.json
|
mlc-chat-config.json
ADDED
@@ -0,0 +1,79 @@
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|
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{
|
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|
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|
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|
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|
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|
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|
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|
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|
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"rms_norm_eps": 1e-05,
|
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"vocab_size": 32000,
|
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|
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|
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"prefill_chunk_size": 2048,
|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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"tokenizer_files": [
|
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"tokenizer.model",
|
35 |
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"tokenizer.json",
|
36 |
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"tokenizer_config.json"
|
37 |
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],
|
38 |
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|
39 |
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"token_postproc_method": "byte_fallback",
|
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|
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|
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},
|
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"conv_template": {
|
44 |
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"name": "mistral_default",
|
45 |
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"system_template": "[INST] {system_message}",
|
46 |
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"system_message": "Always assist with care, respect, and truth. Respond with utmost utility yet securely. Avoid harmful, unethical, prejudiced, or negative content. Ensure replies promote fairness and positivity.",
|
47 |
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"system_prefix_token_ids": [
|
48 |
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1
|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
59 |
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|
60 |
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|
61 |
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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