File size: 103,706 Bytes
3b7b2a1 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432 433 434 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449 450 451 452 453 454 455 456 457 458 |
/opt/conda/envs/py310/bin/python -m mlc_llm gen_config /models/Qwen2-1.5B-Instruct --quantization q4f32_1 --conv-template chatml --output /models/mlc-delivery/hf/mlc-ai/Qwen2-1.5B-Instruct-q4f32_1-MLC
[2024-06-06 23:39:44] INFO auto_config.py:116: [92mFound[0m model configuration: /models/Qwen2-1.5B-Instruct/config.json
[2024-06-06 23:39:44] INFO auto_config.py:154: [92mFound[0m model type: [1mqwen2[0m. Use `--model-type` to override.
[2024-06-06 23:39:44] INFO qwen2_model.py:49: [1mcontext_window_size[0m not found in config.json. Falling back to [1mmax_position_embeddings[0m (32768)
[2024-06-06 23:39:44] INFO qwen2_model.py:66: [1mprefill_chunk_size[0m defaults to 2048
[2024-06-06 23:39:44] INFO config.py:107: Overriding [1mmax_batch_size[0m from 1 to 80
[2024-06-06 23:39:44] INFO gen_config.py:143: [generation_config.json] Setting [1mbos_token_id[0m: 151643
[2024-06-06 23:39:44] INFO gen_config.py:143: [generation_config.json] Setting [1mpad_token_id[0m: 151643
[2024-06-06 23:39:44] INFO gen_config.py:143: [generation_config.json] Setting [1meos_token_id[0m: [151645, 151643]
[2024-06-06 23:39:44] INFO gen_config.py:143: [generation_config.json] Setting [1mrepetition_penalty[0m: 1.1
[2024-06-06 23:39:44] INFO gen_config.py:143: [generation_config.json] Setting [1mtemperature[0m: 0.7
[2024-06-06 23:39:44] INFO gen_config.py:143: [generation_config.json] Setting [1mtop_p[0m: 0.8
[2024-06-06 23:39:44] INFO gen_config.py:157: [91mNot found[0m tokenizer config: /models/Qwen2-1.5B-Instruct/tokenizer.model
[2024-06-06 23:39:44] INFO gen_config.py:155: [92mFound[0m tokenizer config: /models/Qwen2-1.5B-Instruct/tokenizer.json. Copying to [1m/models/mlc-delivery/hf/mlc-ai/Qwen2-1.5B-Instruct-q4f32_1-MLC/tokenizer.json[0m
[2024-06-06 23:39:44] INFO gen_config.py:155: [92mFound[0m tokenizer config: /models/Qwen2-1.5B-Instruct/vocab.json. Copying to [1m/models/mlc-delivery/hf/mlc-ai/Qwen2-1.5B-Instruct-q4f32_1-MLC/vocab.json[0m
[2024-06-06 23:39:44] INFO gen_config.py:155: [92mFound[0m tokenizer config: /models/Qwen2-1.5B-Instruct/merges.txt. Copying to [1m/models/mlc-delivery/hf/mlc-ai/Qwen2-1.5B-Instruct-q4f32_1-MLC/merges.txt[0m
[2024-06-06 23:39:44] INFO gen_config.py:157: [91mNot found[0m tokenizer config: /models/Qwen2-1.5B-Instruct/added_tokens.json
[2024-06-06 23:39:44] INFO gen_config.py:155: [92mFound[0m tokenizer config: /models/Qwen2-1.5B-Instruct/tokenizer_config.json. Copying to [1m/models/mlc-delivery/hf/mlc-ai/Qwen2-1.5B-Instruct-q4f32_1-MLC/tokenizer_config.json[0m
[2024-06-06 23:39:44] INFO gen_config.py:216: Detected tokenizer info: {'token_postproc_method': 'byte_level', 'prepend_space_in_encode': False, 'strip_space_in_decode': False}
[2024-06-06 23:39:44] INFO gen_config.py:32: [System default] Setting [1mpresence_penalty[0m: 0.0
[2024-06-06 23:39:44] INFO gen_config.py:32: [System default] Setting [1mfrequency_penalty[0m: 0.0
[2024-06-06 23:39:44] INFO gen_config.py:223: Dumping configuration file to: [1m/models/mlc-delivery/hf/mlc-ai/Qwen2-1.5B-Instruct-q4f32_1-MLC/mlc-chat-config.json[0m
/opt/conda/envs/py310/bin/python -m mlc_llm convert_weight /models/Qwen2-1.5B-Instruct --quantization q4f32_1 --output /models/mlc-delivery/hf/mlc-ai/Qwen2-1.5B-Instruct-q4f32_1-MLC
[2024-06-06 23:39:46] INFO auto_config.py:116: [92mFound[0m model configuration: /models/Qwen2-1.5B-Instruct/config.json
[2024-06-06 23:39:47] INFO auto_device.py:79: [92mFound[0m device: cuda:0
[2024-06-06 23:39:49] INFO auto_device.py:88: [91mNot found[0m device: rocm:0
[2024-06-06 23:39:50] INFO auto_device.py:88: [91mNot found[0m device: metal:0
[2024-06-06 23:39:52] INFO auto_device.py:79: [92mFound[0m device: vulkan:0
[2024-06-06 23:39:52] INFO auto_device.py:79: [92mFound[0m device: vulkan:1
[2024-06-06 23:39:52] INFO auto_device.py:79: [92mFound[0m device: vulkan:2
[2024-06-06 23:39:52] INFO auto_device.py:79: [92mFound[0m device: vulkan:3
[2024-06-06 23:39:54] INFO auto_device.py:88: [91mNot found[0m device: opencl:0
[2024-06-06 23:39:54] INFO auto_device.py:35: Using device: [1mcuda:0[0m
[2024-06-06 23:39:54] INFO auto_weight.py:71: Finding weights in: /models/Qwen2-1.5B-Instruct
[2024-06-06 23:39:54] INFO auto_weight.py:137: [91mNot found[0m Huggingface PyTorch
[2024-06-06 23:39:54] INFO auto_weight.py:144: [92mFound[0m source weight format: huggingface-safetensor. Source configuration: /models/Qwen2-1.5B-Instruct/model.safetensors.index.json
[2024-06-06 23:39:54] INFO auto_weight.py:107: Using source weight configuration: [1m/models/Qwen2-1.5B-Instruct/model.safetensors.index.json[0m. Use `--source` to override.
[2024-06-06 23:39:54] INFO auto_weight.py:111: Using source weight format: [1mhuggingface-safetensor[0m. Use `--source-format` to override.
[2024-06-06 23:39:54] INFO auto_config.py:154: [92mFound[0m model type: [1mqwen2[0m. Use `--model-type` to override.
[2024-06-06 23:39:54] INFO qwen2_model.py:49: [1mcontext_window_size[0m not found in config.json. Falling back to [1mmax_position_embeddings[0m (32768)
[2024-06-06 23:39:54] INFO qwen2_model.py:66: [1mprefill_chunk_size[0m defaults to 2048
Traceback (most recent call last):
File "/opt/conda/envs/py310/lib/python3.10/runpy.py", line 196, in _run_module_as_main
return _run_code(code, main_globals, None,
File "/opt/conda/envs/py310/lib/python3.10/runpy.py", line 86, in _run_code
exec(code, run_globals)
File "/opt/conda/envs/py310/lib/python3.10/site-packages/mlc_llm/__main__.py", line 64, in <module>
main()
File "/opt/conda/envs/py310/lib/python3.10/site-packages/mlc_llm/__main__.py", line 37, in main
cli.main(sys.argv[2:])
File "/opt/conda/envs/py310/lib/python3.10/site-packages/mlc_llm/cli/convert_weight.py", line 88, in main
convert_weight(
File "/opt/conda/envs/py310/lib/python3.10/site-packages/mlc_llm/interface/convert_weight.py", line 181, in convert_weight
_convert_args(args)
File "/opt/conda/envs/py310/lib/python3.10/site-packages/mlc_llm/interface/convert_weight.py", line 145, in _convert_args
tvmjs.dump_ndarray_cache(
File "/opt/conda/envs/py310/lib/python3.10/site-packages/tvm/contrib/tvmjs.py", line 272, in dump_ndarray_cache
for k, origin_v in param_generator:
File "/opt/conda/envs/py310/lib/python3.10/site-packages/mlc_llm/interface/convert_weight.py", line 122, in _param_generator
loader = LOADER[args.source_format](
File "/opt/conda/envs/py310/lib/python3.10/site-packages/mlc_llm/loader/huggingface_loader.py", line 99, in __init__
check_parameter_usage(extern_param_map, set(self.torch_to_path.keys()))
File "/opt/conda/envs/py310/lib/python3.10/site-packages/mlc_llm/loader/utils.py", line 33, in check_parameter_usage
raise ValueError(
ValueError: The following extern parameters do not exist in the weight files:
lm_head.weight
[1mWeight conversion with arguments:[0m
[1m--config[0m /models/Qwen2-1.5B-Instruct/config.json
[1m--quantization[0m GroupQuantize(name='q4f32_1', kind='group-quant', group_size=32, quantize_dtype='int4', storage_dtype='uint32', model_dtype='float32', linear_weight_layout='NK', quantize_embedding=True, quantize_final_fc=True, num_elem_per_storage=8, num_storage_per_group=4, max_int_value=7)
[1m--model-type[0m qwen2
[1m--device[0m cuda:0
[1m--source[0m /models/Qwen2-1.5B-Instruct/model.safetensors.index.json
[1m--source-format[0m huggingface-safetensor
[1m--output[0m /models/mlc-delivery/hf/mlc-ai/Qwen2-1.5B-Instruct-q4f32_1-MLC
Start storing to cache /models/mlc-delivery/hf/mlc-ai/Qwen2-1.5B-Instruct-q4f32_1-MLC
/home/rickzhou/miniconda3/envs/mlc/bin/python -m mlc_llm gen_config /ssd2/models/Qwen2-1.5B-Instruct --quantization q4f32_1 --conv-template chatml --output /models/mlc-delivery/hf/mlc-ai/Qwen2-1.5B-Instruct-q4f32_1-MLC
[2024-06-06 22:38:49] INFO auto_config.py:116: [92mFound[0m model configuration: /ssd2/models/Qwen2-1.5B-Instruct/config.json
[2024-06-06 22:38:49] INFO auto_config.py:154: [92mFound[0m model type: [1mqwen2[0m. Use `--model-type` to override.
[2024-06-06 22:38:49] INFO qwen2_model.py:50: [1mcontext_window_size[0m not found in config.json. Falling back to [1mmax_position_embeddings[0m (32768)
[2024-06-06 22:38:49] INFO qwen2_model.py:67: [1mprefill_chunk_size[0m defaults to 2048
[2024-06-06 22:38:49] INFO config.py:107: Overriding [1mmax_batch_size[0m from 1 to 80
[2024-06-06 22:38:49] INFO gen_config.py:143: [generation_config.json] Setting [1mbos_token_id[0m: 151643
[2024-06-06 22:38:49] INFO gen_config.py:143: [generation_config.json] Setting [1mpad_token_id[0m: 151643
[2024-06-06 22:38:49] INFO gen_config.py:143: [generation_config.json] Setting [1meos_token_id[0m: [151645, 151643]
[2024-06-06 22:38:49] INFO gen_config.py:143: [generation_config.json] Setting [1mrepetition_penalty[0m: 1.1
[2024-06-06 22:38:49] INFO gen_config.py:143: [generation_config.json] Setting [1mtemperature[0m: 0.7
[2024-06-06 22:38:49] INFO gen_config.py:143: [generation_config.json] Setting [1mtop_p[0m: 0.8
[2024-06-06 22:38:49] INFO gen_config.py:157: [91mNot found[0m tokenizer config: /ssd2/models/Qwen2-1.5B-Instruct/tokenizer.model
[2024-06-06 22:38:49] INFO gen_config.py:155: [92mFound[0m tokenizer config: /ssd2/models/Qwen2-1.5B-Instruct/tokenizer.json. Copying to [1m/models/mlc-delivery/hf/mlc-ai/Qwen2-1.5B-Instruct-q4f32_1-MLC/tokenizer.json[0m
[2024-06-06 22:38:49] INFO gen_config.py:155: [92mFound[0m tokenizer config: /ssd2/models/Qwen2-1.5B-Instruct/vocab.json. Copying to [1m/models/mlc-delivery/hf/mlc-ai/Qwen2-1.5B-Instruct-q4f32_1-MLC/vocab.json[0m
[2024-06-06 22:38:49] INFO gen_config.py:155: [92mFound[0m tokenizer config: /ssd2/models/Qwen2-1.5B-Instruct/merges.txt. Copying to [1m/models/mlc-delivery/hf/mlc-ai/Qwen2-1.5B-Instruct-q4f32_1-MLC/merges.txt[0m
[2024-06-06 22:38:49] INFO gen_config.py:157: [91mNot found[0m tokenizer config: /ssd2/models/Qwen2-1.5B-Instruct/added_tokens.json
[2024-06-06 22:38:49] INFO gen_config.py:155: [92mFound[0m tokenizer config: /ssd2/models/Qwen2-1.5B-Instruct/tokenizer_config.json. Copying to [1m/models/mlc-delivery/hf/mlc-ai/Qwen2-1.5B-Instruct-q4f32_1-MLC/tokenizer_config.json[0m
[2024-06-06 22:38:49] INFO gen_config.py:216: Detected tokenizer info: {'token_postproc_method': 'byte_level', 'prepend_space_in_encode': False, 'strip_space_in_decode': False}
[2024-06-06 22:38:49] INFO gen_config.py:32: [System default] Setting [1mpresence_penalty[0m: 0.0
[2024-06-06 22:38:49] INFO gen_config.py:32: [System default] Setting [1mfrequency_penalty[0m: 0.0
[2024-06-06 22:38:49] INFO gen_config.py:223: Dumping configuration file to: [1m/models/mlc-delivery/hf/mlc-ai/Qwen2-1.5B-Instruct-q4f32_1-MLC/mlc-chat-config.json[0m
/home/rickzhou/miniconda3/envs/mlc/bin/python -m mlc_llm convert_weight /ssd2/models/Qwen2-1.5B-Instruct --quantization q4f32_1 --output /models/mlc-delivery/hf/mlc-ai/Qwen2-1.5B-Instruct-q4f32_1-MLC
[2024-06-06 22:38:50] INFO auto_config.py:116: [92mFound[0m model configuration: /ssd2/models/Qwen2-1.5B-Instruct/config.json
[2024-06-06 22:38:51] INFO auto_device.py:79: [92mFound[0m device: cuda:0
[2024-06-06 22:38:51] INFO auto_device.py:79: [92mFound[0m device: cuda:1
[2024-06-06 22:38:53] INFO auto_device.py:88: [91mNot found[0m device: rocm:0
[2024-06-06 22:38:54] INFO auto_device.py:88: [91mNot found[0m device: metal:0
[2024-06-06 22:38:55] INFO auto_device.py:79: [92mFound[0m device: vulkan:0
[2024-06-06 22:38:55] INFO auto_device.py:79: [92mFound[0m device: vulkan:1
[2024-06-06 22:38:55] INFO auto_device.py:79: [92mFound[0m device: vulkan:2
[2024-06-06 22:38:56] INFO auto_device.py:88: [91mNot found[0m device: opencl:0
[2024-06-06 22:38:56] INFO auto_device.py:35: Using device: [1mcuda:0[0m
[2024-06-06 22:38:56] INFO auto_weight.py:71: Finding weights in: /ssd2/models/Qwen2-1.5B-Instruct
[2024-06-06 22:38:56] INFO auto_weight.py:137: [91mNot found[0m Huggingface PyTorch
[2024-06-06 22:38:56] INFO auto_weight.py:144: [92mFound[0m source weight format: huggingface-safetensor. Source configuration: /ssd2/models/Qwen2-1.5B-Instruct/model.safetensors.index.json
[2024-06-06 22:38:56] INFO auto_weight.py:107: Using source weight configuration: [1m/ssd2/models/Qwen2-1.5B-Instruct/model.safetensors.index.json[0m. Use `--source` to override.
[2024-06-06 22:38:56] INFO auto_weight.py:111: Using source weight format: [1mhuggingface-safetensor[0m. Use `--source-format` to override.
[2024-06-06 22:38:56] INFO auto_config.py:154: [92mFound[0m model type: [1mqwen2[0m. Use `--model-type` to override.
[2024-06-06 22:38:56] INFO qwen2_model.py:50: [1mcontext_window_size[0m not found in config.json. Falling back to [1mmax_position_embeddings[0m (32768)
[2024-06-06 22:38:56] INFO qwen2_model.py:67: [1mprefill_chunk_size[0m defaults to 2048
[1mWeight conversion with arguments:[0m
[1m--config[0m /ssd2/models/Qwen2-1.5B-Instruct/config.json
[1m--quantization[0m GroupQuantize(name='q4f32_1', kind='group-quant', group_size=32, quantize_dtype='int4', storage_dtype='uint32', model_dtype='float32', linear_weight_layout='NK', quantize_embedding=True, quantize_final_fc=True, num_elem_per_storage=8, num_storage_per_group=4, max_int_value=7)
[1m--model-type[0m qwen2
[1m--device[0m cuda:0
[1m--source[0m /ssd2/models/Qwen2-1.5B-Instruct/model.safetensors.index.json
[1m--source-format[0m huggingface-safetensor
[1m--output[0m /models/mlc-delivery/hf/mlc-ai/Qwen2-1.5B-Instruct-q4f32_1-MLC
Start storing to cache /models/mlc-delivery/hf/mlc-ai/Qwen2-1.5B-Instruct-q4f32_1-MLC
0%| | 0/198 [00:00<?, ?it/s]
[2024-06-06 22:38:59] INFO huggingface_loader.py:185: Loading HF parameters from: /ssd2/models/Qwen2-1.5B-Instruct/model.safetensors
0%| | 0/198 [00:00<?, ?it/s]
[2024-06-06 22:39:01] INFO group_quantization.py:217: Compiling quantize function for key: ((151936, 1536), float32, cuda, axis=1, output_transpose=False)
0%| | 0/198 [00:01<?, ?it/s]
[2024-06-06 22:39:02] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.embed_tokens.q_weight[0m", shape: (151936, 192), dtype: uint32
0%| | 0/198 [00:03<?, ?it/s]
[2024-06-06 22:39:03] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.embed_tokens.q_scale[0m", shape: (151936, 48), dtype: float32
0%| | 0/198 [00:03<?, ?it/s]/home/rickzhou/miniconda3/envs/mlc/lib/python3.11/site-packages/numpy/core/getlimits.py:549: UserWarning: The value of the smallest subnormal for <class 'numpy.float32'> type is zero.
setattr(self, word, getattr(machar, word).flat[0])
/home/rickzhou/miniconda3/envs/mlc/lib/python3.11/site-packages/numpy/core/getlimits.py:89: UserWarning: The value of the smallest subnormal for <class 'numpy.float32'> type is zero.
return self._float_to_str(self.smallest_subnormal)
1%| | 1/198 [00:03<10:59, 3.35s/it]
[2024-06-06 22:39:03] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.0.input_layernorm.weight[0m", shape: (1536,), dtype: float32
1%| | 1/198 [00:03<10:59, 3.35s/it]
[2024-06-06 22:39:03] INFO group_quantization.py:217: Compiling quantize function for key: ((1536, 8960), float32, cuda, axis=1, output_transpose=False)
1%| | 1/198 [00:03<10:59, 3.35s/it]
[2024-06-06 22:39:03] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.0.mlp.down_proj.q_weight[0m", shape: (1536, 1120), dtype: uint32
1%| | 1/198 [00:03<10:59, 3.35s/it]
[2024-06-06 22:39:03] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.0.mlp.down_proj.q_scale[0m", shape: (1536, 280), dtype: float32
1%| | 1/198 [00:03<10:59, 3.35s/it]
2%|▏ | 3/198 [00:03<03:14, 1.00it/s]
[2024-06-06 22:39:03] INFO group_quantization.py:217: Compiling quantize function for key: ((17920, 1536), float32, cuda, axis=1, output_transpose=False)
2%|▏ | 3/198 [00:03<03:14, 1.00it/s]
[2024-06-06 22:39:03] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.0.mlp.gate_up_proj.q_weight[0m", shape: (17920, 192), dtype: uint32
2%|▏ | 3/198 [00:04<03:14, 1.00it/s]
[2024-06-06 22:39:03] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.0.mlp.gate_up_proj.q_scale[0m", shape: (17920, 48), dtype: float32
2%|▏ | 3/198 [00:04<03:14, 1.00it/s]
2%|▏ | 4/198 [00:04<02:33, 1.26it/s]
[2024-06-06 22:39:03] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.0.post_attention_layernorm.weight[0m", shape: (1536,), dtype: float32
2%|▏ | 4/198 [00:04<02:33, 1.26it/s]
[2024-06-06 22:39:03] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.0.self_attn.c_attn.bias[0m", shape: (2048,), dtype: float32
2%|▏ | 4/198 [00:04<02:33, 1.26it/s]
[2024-06-06 22:39:03] INFO group_quantization.py:217: Compiling quantize function for key: ((2048, 1536), float32, cuda, axis=1, output_transpose=False)
2%|▏ | 4/198 [00:04<02:33, 1.26it/s]
[2024-06-06 22:39:04] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.0.self_attn.c_attn.q_weight[0m", shape: (2048, 192), dtype: uint32
2%|▏ | 4/198 [00:04<02:33, 1.26it/s]
[2024-06-06 22:39:04] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.0.self_attn.c_attn.q_scale[0m", shape: (2048, 48), dtype: float32
2%|▏ | 4/198 [00:04<02:33, 1.26it/s]
4%|▎ | 7/198 [00:04<01:12, 2.63it/s]
[2024-06-06 22:39:04] INFO group_quantization.py:217: Compiling quantize function for key: ((1536, 1536), float32, cuda, axis=1, output_transpose=False)
4%|▎ | 7/198 [00:04<01:12, 2.63it/s]
[2024-06-06 22:39:04] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.0.self_attn.o_proj.q_weight[0m", shape: (1536, 192), dtype: uint32
4%|▎ | 7/198 [00:04<01:12, 2.63it/s]
[2024-06-06 22:39:04] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.0.self_attn.o_proj.q_scale[0m", shape: (1536, 48), dtype: float32
4%|▎ | 7/198 [00:04<01:12, 2.63it/s]
4%|▍ | 8/198 [00:04<01:09, 2.73it/s]
[2024-06-06 22:39:04] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.1.input_layernorm.weight[0m", shape: (1536,), dtype: float32
4%|▍ | 8/198 [00:04<01:09, 2.73it/s]
[2024-06-06 22:39:04] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.1.mlp.down_proj.q_weight[0m", shape: (1536, 1120), dtype: uint32
4%|▍ | 8/198 [00:04<01:09, 2.73it/s]
[2024-06-06 22:39:04] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.1.mlp.down_proj.q_scale[0m", shape: (1536, 280), dtype: float32
4%|▍ | 8/198 [00:04<01:09, 2.73it/s]
[2024-06-06 22:39:04] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.1.mlp.gate_up_proj.q_weight[0m", shape: (17920, 192), dtype: uint32
4%|▍ | 8/198 [00:04<01:09, 2.73it/s]
[2024-06-06 22:39:04] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.1.mlp.gate_up_proj.q_scale[0m", shape: (17920, 48), dtype: float32
4%|▍ | 8/198 [00:04<01:09, 2.73it/s]
6%|▌ | 11/198 [00:04<00:38, 4.85it/s]
[2024-06-06 22:39:04] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.1.post_attention_layernorm.weight[0m", shape: (1536,), dtype: float32
6%|▌ | 11/198 [00:04<00:38, 4.85it/s]
[2024-06-06 22:39:04] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.1.self_attn.c_attn.bias[0m", shape: (2048,), dtype: float32
6%|▌ | 11/198 [00:04<00:38, 4.85it/s]
[2024-06-06 22:39:04] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.1.self_attn.c_attn.q_weight[0m", shape: (2048, 192), dtype: uint32
6%|▌ | 11/198 [00:04<00:38, 4.85it/s]
[2024-06-06 22:39:04] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.1.self_attn.c_attn.q_scale[0m", shape: (2048, 48), dtype: float32
6%|▌ | 11/198 [00:04<00:38, 4.85it/s]
[2024-06-06 22:39:04] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.1.self_attn.o_proj.q_weight[0m", shape: (1536, 192), dtype: uint32
6%|▌ | 11/198 [00:04<00:38, 4.85it/s]
[2024-06-06 22:39:04] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.1.self_attn.o_proj.q_scale[0m", shape: (1536, 48), dtype: float32
6%|▌ | 11/198 [00:04<00:38, 4.85it/s]
[2024-06-06 22:39:04] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.10.input_layernorm.weight[0m", shape: (1536,), dtype: float32
6%|▌ | 11/198 [00:04<00:38, 4.85it/s]
[2024-06-06 22:39:04] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.10.mlp.down_proj.q_weight[0m", shape: (1536, 1120), dtype: uint32
6%|▌ | 11/198 [00:04<00:38, 4.85it/s]
[2024-06-06 22:39:04] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.10.mlp.down_proj.q_scale[0m", shape: (1536, 280), dtype: float32
6%|▌ | 11/198 [00:04<00:38, 4.85it/s]
[2024-06-06 22:39:04] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.10.mlp.gate_up_proj.q_weight[0m", shape: (17920, 192), dtype: uint32
6%|▌ | 11/198 [00:04<00:38, 4.85it/s]
[2024-06-06 22:39:04] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.10.mlp.gate_up_proj.q_scale[0m", shape: (17920, 48), dtype: float32
6%|▌ | 11/198 [00:04<00:38, 4.85it/s]
9%|▉ | 18/198 [00:04<00:16, 11.22it/s]
[2024-06-06 22:39:04] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.10.post_attention_layernorm.weight[0m", shape: (1536,), dtype: float32
9%|▉ | 18/198 [00:04<00:16, 11.22it/s]
[2024-06-06 22:39:04] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.10.self_attn.c_attn.bias[0m", shape: (2048,), dtype: float32
9%|▉ | 18/198 [00:04<00:16, 11.22it/s]
[2024-06-06 22:39:04] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.10.self_attn.c_attn.q_weight[0m", shape: (2048, 192), dtype: uint32
9%|▉ | 18/198 [00:04<00:16, 11.22it/s]
[2024-06-06 22:39:04] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.10.self_attn.c_attn.q_scale[0m", shape: (2048, 48), dtype: float32
9%|▉ | 18/198 [00:04<00:16, 11.22it/s]
[2024-06-06 22:39:04] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.10.self_attn.o_proj.q_weight[0m", shape: (1536, 192), dtype: uint32
9%|▉ | 18/198 [00:04<00:16, 11.22it/s]
[2024-06-06 22:39:04] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.10.self_attn.o_proj.q_scale[0m", shape: (1536, 48), dtype: float32
9%|▉ | 18/198 [00:04<00:16, 11.22it/s]
[2024-06-06 22:39:04] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.11.input_layernorm.weight[0m", shape: (1536,), dtype: float32
9%|▉ | 18/198 [00:04<00:16, 11.22it/s]
[2024-06-06 22:39:04] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.11.mlp.down_proj.q_weight[0m", shape: (1536, 1120), dtype: uint32
9%|▉ | 18/198 [00:04<00:16, 11.22it/s]
[2024-06-06 22:39:04] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.11.mlp.down_proj.q_scale[0m", shape: (1536, 280), dtype: float32
9%|▉ | 18/198 [00:04<00:16, 11.22it/s]
[2024-06-06 22:39:04] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.11.mlp.gate_up_proj.q_weight[0m", shape: (17920, 192), dtype: uint32
9%|▉ | 18/198 [00:05<00:16, 11.22it/s]
[2024-06-06 22:39:04] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.11.mlp.gate_up_proj.q_scale[0m", shape: (17920, 48), dtype: float32
9%|▉ | 18/198 [00:05<00:16, 11.22it/s]
13%|█▎ | 25/198 [00:05<00:09, 18.19it/s]
[2024-06-06 22:39:04] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.11.post_attention_layernorm.weight[0m", shape: (1536,), dtype: float32
13%|█▎ | 25/198 [00:05<00:09, 18.19it/s]
[2024-06-06 22:39:04] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.11.self_attn.c_attn.bias[0m", shape: (2048,), dtype: float32
13%|█▎ | 25/198 [00:05<00:09, 18.19it/s]
[2024-06-06 22:39:04] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.11.self_attn.c_attn.q_weight[0m", shape: (2048, 192), dtype: uint32
13%|█▎ | 25/198 [00:05<00:09, 18.19it/s]
[2024-06-06 22:39:04] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.11.self_attn.c_attn.q_scale[0m", shape: (2048, 48), dtype: float32
13%|█▎ | 25/198 [00:05<00:09, 18.19it/s]
[2024-06-06 22:39:04] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.11.self_attn.o_proj.q_weight[0m", shape: (1536, 192), dtype: uint32
13%|█▎ | 25/198 [00:05<00:09, 18.19it/s]
[2024-06-06 22:39:04] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.11.self_attn.o_proj.q_scale[0m", shape: (1536, 48), dtype: float32
13%|█▎ | 25/198 [00:05<00:09, 18.19it/s]
[2024-06-06 22:39:04] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.12.input_layernorm.weight[0m", shape: (1536,), dtype: float32
13%|█▎ | 25/198 [00:05<00:09, 18.19it/s]
[2024-06-06 22:39:04] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.12.mlp.down_proj.q_weight[0m", shape: (1536, 1120), dtype: uint32
13%|█▎ | 25/198 [00:05<00:09, 18.19it/s]
[2024-06-06 22:39:04] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.12.mlp.down_proj.q_scale[0m", shape: (1536, 280), dtype: float32
13%|█▎ | 25/198 [00:05<00:09, 18.19it/s]
[2024-06-06 22:39:04] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.12.mlp.gate_up_proj.q_weight[0m", shape: (17920, 192), dtype: uint32
13%|█▎ | 25/198 [00:05<00:09, 18.19it/s]
[2024-06-06 22:39:04] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.12.mlp.gate_up_proj.q_scale[0m", shape: (17920, 48), dtype: float32
13%|█▎ | 25/198 [00:05<00:09, 18.19it/s]
16%|█▌ | 32/198 [00:05<00:06, 25.35it/s]
[2024-06-06 22:39:04] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.12.post_attention_layernorm.weight[0m", shape: (1536,), dtype: float32
16%|█▌ | 32/198 [00:05<00:06, 25.35it/s]
[2024-06-06 22:39:04] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.12.self_attn.c_attn.bias[0m", shape: (2048,), dtype: float32
16%|█▌ | 32/198 [00:05<00:06, 25.35it/s]
[2024-06-06 22:39:04] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.12.self_attn.c_attn.q_weight[0m", shape: (2048, 192), dtype: uint32
16%|█▌ | 32/198 [00:05<00:06, 25.35it/s]
[2024-06-06 22:39:04] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.12.self_attn.c_attn.q_scale[0m", shape: (2048, 48), dtype: float32
16%|█▌ | 32/198 [00:05<00:06, 25.35it/s]
[2024-06-06 22:39:04] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.12.self_attn.o_proj.q_weight[0m", shape: (1536, 192), dtype: uint32
16%|█▌ | 32/198 [00:05<00:06, 25.35it/s]
[2024-06-06 22:39:04] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.12.self_attn.o_proj.q_scale[0m", shape: (1536, 48), dtype: float32
16%|█▌ | 32/198 [00:05<00:06, 25.35it/s]
[2024-06-06 22:39:04] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.13.input_layernorm.weight[0m", shape: (1536,), dtype: float32
16%|█▌ | 32/198 [00:05<00:06, 25.35it/s]
[2024-06-06 22:39:04] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.13.mlp.down_proj.q_weight[0m", shape: (1536, 1120), dtype: uint32
16%|█▌ | 32/198 [00:05<00:06, 25.35it/s]
[2024-06-06 22:39:04] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.13.mlp.down_proj.q_scale[0m", shape: (1536, 280), dtype: float32
16%|█▌ | 32/198 [00:05<00:06, 25.35it/s]
[2024-06-06 22:39:05] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.13.mlp.gate_up_proj.q_weight[0m", shape: (17920, 192), dtype: uint32
16%|█▌ | 32/198 [00:05<00:06, 25.35it/s]
[2024-06-06 22:39:05] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.13.mlp.gate_up_proj.q_scale[0m", shape: (17920, 48), dtype: float32
16%|█▌ | 32/198 [00:05<00:06, 25.35it/s]
20%|█▉ | 39/198 [00:05<00:04, 32.30it/s]
[2024-06-06 22:39:05] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.13.post_attention_layernorm.weight[0m", shape: (1536,), dtype: float32
20%|█▉ | 39/198 [00:05<00:04, 32.30it/s]
[2024-06-06 22:39:05] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.13.self_attn.c_attn.bias[0m", shape: (2048,), dtype: float32
20%|█▉ | 39/198 [00:05<00:04, 32.30it/s]
[2024-06-06 22:39:05] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.13.self_attn.c_attn.q_weight[0m", shape: (2048, 192), dtype: uint32
20%|█▉ | 39/198 [00:05<00:04, 32.30it/s]
[2024-06-06 22:39:05] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.13.self_attn.c_attn.q_scale[0m", shape: (2048, 48), dtype: float32
20%|█▉ | 39/198 [00:05<00:04, 32.30it/s]
[2024-06-06 22:39:05] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.13.self_attn.o_proj.q_weight[0m", shape: (1536, 192), dtype: uint32
20%|█▉ | 39/198 [00:05<00:04, 32.30it/s]
[2024-06-06 22:39:05] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.13.self_attn.o_proj.q_scale[0m", shape: (1536, 48), dtype: float32
20%|█▉ | 39/198 [00:05<00:04, 32.30it/s]
[2024-06-06 22:39:05] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.14.input_layernorm.weight[0m", shape: (1536,), dtype: float32
20%|█▉ | 39/198 [00:05<00:04, 32.30it/s]
[2024-06-06 22:39:05] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.14.mlp.down_proj.q_weight[0m", shape: (1536, 1120), dtype: uint32
20%|█▉ | 39/198 [00:05<00:04, 32.30it/s]
[2024-06-06 22:39:05] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.14.mlp.down_proj.q_scale[0m", shape: (1536, 280), dtype: float32
20%|█▉ | 39/198 [00:05<00:04, 32.30it/s]
[2024-06-06 22:39:05] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.14.mlp.gate_up_proj.q_weight[0m", shape: (17920, 192), dtype: uint32
20%|█▉ | 39/198 [00:05<00:04, 32.30it/s]
[2024-06-06 22:39:05] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.14.mlp.gate_up_proj.q_scale[0m", shape: (17920, 48), dtype: float32
20%|█▉ | 39/198 [00:05<00:04, 32.30it/s]
23%|██▎ | 46/198 [00:05<00:03, 38.67it/s]
[2024-06-06 22:39:05] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.14.post_attention_layernorm.weight[0m", shape: (1536,), dtype: float32
23%|██▎ | 46/198 [00:05<00:03, 38.67it/s]
[2024-06-06 22:39:05] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.14.self_attn.c_attn.bias[0m", shape: (2048,), dtype: float32
23%|██▎ | 46/198 [00:05<00:03, 38.67it/s]
[2024-06-06 22:39:05] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.14.self_attn.c_attn.q_weight[0m", shape: (2048, 192), dtype: uint32
23%|██▎ | 46/198 [00:05<00:03, 38.67it/s]
[2024-06-06 22:39:05] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.14.self_attn.c_attn.q_scale[0m", shape: (2048, 48), dtype: float32
23%|██▎ | 46/198 [00:05<00:03, 38.67it/s]
[2024-06-06 22:39:05] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.14.self_attn.o_proj.q_weight[0m", shape: (1536, 192), dtype: uint32
23%|██▎ | 46/198 [00:05<00:03, 38.67it/s]
[2024-06-06 22:39:05] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.14.self_attn.o_proj.q_scale[0m", shape: (1536, 48), dtype: float32
23%|██▎ | 46/198 [00:05<00:03, 38.67it/s]
[2024-06-06 22:39:05] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.15.input_layernorm.weight[0m", shape: (1536,), dtype: float32
23%|██▎ | 46/198 [00:05<00:03, 38.67it/s]
[2024-06-06 22:39:05] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.15.mlp.down_proj.q_weight[0m", shape: (1536, 1120), dtype: uint32
23%|██▎ | 46/198 [00:05<00:03, 38.67it/s]
[2024-06-06 22:39:05] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.15.mlp.down_proj.q_scale[0m", shape: (1536, 280), dtype: float32
23%|██▎ | 46/198 [00:05<00:03, 38.67it/s]
[2024-06-06 22:39:05] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.15.mlp.gate_up_proj.q_weight[0m", shape: (17920, 192), dtype: uint32
23%|██▎ | 46/198 [00:05<00:03, 38.67it/s]
[2024-06-06 22:39:05] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.15.mlp.gate_up_proj.q_scale[0m", shape: (17920, 48), dtype: float32
23%|██▎ | 46/198 [00:05<00:03, 38.67it/s]
27%|██▋ | 53/198 [00:05<00:03, 44.16it/s]
[2024-06-06 22:39:05] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.15.post_attention_layernorm.weight[0m", shape: (1536,), dtype: float32
27%|██▋ | 53/198 [00:05<00:03, 44.16it/s]
[2024-06-06 22:39:05] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.15.self_attn.c_attn.bias[0m", shape: (2048,), dtype: float32
27%|██▋ | 53/198 [00:05<00:03, 44.16it/s]
[2024-06-06 22:39:05] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.15.self_attn.c_attn.q_weight[0m", shape: (2048, 192), dtype: uint32
27%|██▋ | 53/198 [00:05<00:03, 44.16it/s]
[2024-06-06 22:39:05] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.15.self_attn.c_attn.q_scale[0m", shape: (2048, 48), dtype: float32
27%|██▋ | 53/198 [00:05<00:03, 44.16it/s]
[2024-06-06 22:39:05] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.15.self_attn.o_proj.q_weight[0m", shape: (1536, 192), dtype: uint32
27%|██▋ | 53/198 [00:05<00:03, 44.16it/s]
[2024-06-06 22:39:05] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.15.self_attn.o_proj.q_scale[0m", shape: (1536, 48), dtype: float32
27%|██▋ | 53/198 [00:05<00:03, 44.16it/s]
[2024-06-06 22:39:05] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.16.input_layernorm.weight[0m", shape: (1536,), dtype: float32
27%|██▋ | 53/198 [00:05<00:03, 44.16it/s]
[2024-06-06 22:39:05] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.16.mlp.down_proj.q_weight[0m", shape: (1536, 1120), dtype: uint32
27%|██▋ | 53/198 [00:05<00:03, 44.16it/s]
[2024-06-06 22:39:05] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.16.mlp.down_proj.q_scale[0m", shape: (1536, 280), dtype: float32
27%|██▋ | 53/198 [00:05<00:03, 44.16it/s]
[2024-06-06 22:39:05] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.16.mlp.gate_up_proj.q_weight[0m", shape: (17920, 192), dtype: uint32
27%|██▋ | 53/198 [00:05<00:03, 44.16it/s]
[2024-06-06 22:39:05] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.16.mlp.gate_up_proj.q_scale[0m", shape: (17920, 48), dtype: float32
27%|██▋ | 53/198 [00:05<00:03, 44.16it/s]
30%|███ | 60/198 [00:05<00:02, 48.61it/s]
[2024-06-06 22:39:05] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.16.post_attention_layernorm.weight[0m", shape: (1536,), dtype: float32
30%|███ | 60/198 [00:05<00:02, 48.61it/s]
[2024-06-06 22:39:05] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.16.self_attn.c_attn.bias[0m", shape: (2048,), dtype: float32
30%|███ | 60/198 [00:05<00:02, 48.61it/s]
[2024-06-06 22:39:05] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.16.self_attn.c_attn.q_weight[0m", shape: (2048, 192), dtype: uint32
30%|███ | 60/198 [00:05<00:02, 48.61it/s]
[2024-06-06 22:39:05] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.16.self_attn.c_attn.q_scale[0m", shape: (2048, 48), dtype: float32
30%|███ | 60/198 [00:05<00:02, 48.61it/s]
[2024-06-06 22:39:05] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.16.self_attn.o_proj.q_weight[0m", shape: (1536, 192), dtype: uint32
30%|███ | 60/198 [00:05<00:02, 48.61it/s]
[2024-06-06 22:39:05] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.16.self_attn.o_proj.q_scale[0m", shape: (1536, 48), dtype: float32
30%|███ | 60/198 [00:05<00:02, 48.61it/s]
[2024-06-06 22:39:05] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.17.input_layernorm.weight[0m", shape: (1536,), dtype: float32
30%|███ | 60/198 [00:05<00:02, 48.61it/s]
[2024-06-06 22:39:05] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.17.mlp.down_proj.q_weight[0m", shape: (1536, 1120), dtype: uint32
30%|███ | 60/198 [00:05<00:02, 48.61it/s]
[2024-06-06 22:39:05] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.17.mlp.down_proj.q_scale[0m", shape: (1536, 280), dtype: float32
30%|███ | 60/198 [00:05<00:02, 48.61it/s]
[2024-06-06 22:39:05] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.17.mlp.gate_up_proj.q_weight[0m", shape: (17920, 192), dtype: uint32
30%|███ | 60/198 [00:05<00:02, 48.61it/s]
[2024-06-06 22:39:05] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.17.mlp.gate_up_proj.q_scale[0m", shape: (17920, 48), dtype: float32
30%|███ | 60/198 [00:05<00:02, 48.61it/s]
34%|███▍ | 67/198 [00:05<00:02, 52.20it/s]
[2024-06-06 22:39:05] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.17.post_attention_layernorm.weight[0m", shape: (1536,), dtype: float32
34%|███▍ | 67/198 [00:05<00:02, 52.20it/s]
[2024-06-06 22:39:05] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.17.self_attn.c_attn.bias[0m", shape: (2048,), dtype: float32
34%|███▍ | 67/198 [00:05<00:02, 52.20it/s]
[2024-06-06 22:39:05] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.17.self_attn.c_attn.q_weight[0m", shape: (2048, 192), dtype: uint32
34%|███▍ | 67/198 [00:05<00:02, 52.20it/s]
[2024-06-06 22:39:05] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.17.self_attn.c_attn.q_scale[0m", shape: (2048, 48), dtype: float32
34%|███▍ | 67/198 [00:05<00:02, 52.20it/s]
[2024-06-06 22:39:05] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.17.self_attn.o_proj.q_weight[0m", shape: (1536, 192), dtype: uint32
34%|███▍ | 67/198 [00:05<00:02, 52.20it/s]
[2024-06-06 22:39:05] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.17.self_attn.o_proj.q_scale[0m", shape: (1536, 48), dtype: float32
34%|███▍ | 67/198 [00:05<00:02, 52.20it/s]
[2024-06-06 22:39:05] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.18.input_layernorm.weight[0m", shape: (1536,), dtype: float32
34%|███▍ | 67/198 [00:05<00:02, 52.20it/s]
[2024-06-06 22:39:05] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.18.mlp.down_proj.q_weight[0m", shape: (1536, 1120), dtype: uint32
34%|███▍ | 67/198 [00:05<00:02, 52.20it/s]
[2024-06-06 22:39:05] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.18.mlp.down_proj.q_scale[0m", shape: (1536, 280), dtype: float32
34%|███▍ | 67/198 [00:05<00:02, 52.20it/s]
[2024-06-06 22:39:05] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.18.mlp.gate_up_proj.q_weight[0m", shape: (17920, 192), dtype: uint32
34%|███▍ | 67/198 [00:05<00:02, 52.20it/s]
[2024-06-06 22:39:05] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.18.mlp.gate_up_proj.q_scale[0m", shape: (17920, 48), dtype: float32
34%|███▍ | 67/198 [00:05<00:02, 52.20it/s]
37%|███▋ | 74/198 [00:05<00:02, 54.96it/s]
[2024-06-06 22:39:05] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.18.post_attention_layernorm.weight[0m", shape: (1536,), dtype: float32
37%|███▋ | 74/198 [00:05<00:02, 54.96it/s]
[2024-06-06 22:39:05] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.18.self_attn.c_attn.bias[0m", shape: (2048,), dtype: float32
37%|███▋ | 74/198 [00:05<00:02, 54.96it/s]
[2024-06-06 22:39:05] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.18.self_attn.c_attn.q_weight[0m", shape: (2048, 192), dtype: uint32
37%|███▋ | 74/198 [00:05<00:02, 54.96it/s]
[2024-06-06 22:39:05] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.18.self_attn.c_attn.q_scale[0m", shape: (2048, 48), dtype: float32
37%|███▋ | 74/198 [00:05<00:02, 54.96it/s]
[2024-06-06 22:39:05] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.18.self_attn.o_proj.q_weight[0m", shape: (1536, 192), dtype: uint32
37%|███▋ | 74/198 [00:05<00:02, 54.96it/s]
[2024-06-06 22:39:05] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.18.self_attn.o_proj.q_scale[0m", shape: (1536, 48), dtype: float32
37%|███▋ | 74/198 [00:05<00:02, 54.96it/s]
[2024-06-06 22:39:05] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.19.input_layernorm.weight[0m", shape: (1536,), dtype: float32
37%|███▋ | 74/198 [00:05<00:02, 54.96it/s]
[2024-06-06 22:39:05] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.19.mlp.down_proj.q_weight[0m", shape: (1536, 1120), dtype: uint32
37%|███▋ | 74/198 [00:05<00:02, 54.96it/s]
[2024-06-06 22:39:05] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.19.mlp.down_proj.q_scale[0m", shape: (1536, 280), dtype: float32
37%|███▋ | 74/198 [00:05<00:02, 54.96it/s]
[2024-06-06 22:39:05] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.19.mlp.gate_up_proj.q_weight[0m", shape: (17920, 192), dtype: uint32
37%|███▋ | 74/198 [00:05<00:02, 54.96it/s]
[2024-06-06 22:39:05] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.19.mlp.gate_up_proj.q_scale[0m", shape: (17920, 48), dtype: float32
37%|███▋ | 74/198 [00:05<00:02, 54.96it/s]
41%|████ | 81/198 [00:05<00:02, 57.01it/s]
[2024-06-06 22:39:05] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.19.post_attention_layernorm.weight[0m", shape: (1536,), dtype: float32
41%|████ | 81/198 [00:05<00:02, 57.01it/s]
[2024-06-06 22:39:05] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.19.self_attn.c_attn.bias[0m", shape: (2048,), dtype: float32
41%|████ | 81/198 [00:05<00:02, 57.01it/s]
[2024-06-06 22:39:05] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.19.self_attn.c_attn.q_weight[0m", shape: (2048, 192), dtype: uint32
41%|████ | 81/198 [00:05<00:02, 57.01it/s]
[2024-06-06 22:39:05] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.19.self_attn.c_attn.q_scale[0m", shape: (2048, 48), dtype: float32
41%|████ | 81/198 [00:05<00:02, 57.01it/s]
[2024-06-06 22:39:05] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.19.self_attn.o_proj.q_weight[0m", shape: (1536, 192), dtype: uint32
41%|████ | 81/198 [00:05<00:02, 57.01it/s]
[2024-06-06 22:39:05] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.19.self_attn.o_proj.q_scale[0m", shape: (1536, 48), dtype: float32
41%|████ | 81/198 [00:05<00:02, 57.01it/s]
[2024-06-06 22:39:05] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.2.input_layernorm.weight[0m", shape: (1536,), dtype: float32
41%|████ | 81/198 [00:05<00:02, 57.01it/s]
[2024-06-06 22:39:05] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.2.mlp.down_proj.q_weight[0m", shape: (1536, 1120), dtype: uint32
41%|████ | 81/198 [00:05<00:02, 57.01it/s]
[2024-06-06 22:39:05] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.2.mlp.down_proj.q_scale[0m", shape: (1536, 280), dtype: float32
41%|████ | 81/198 [00:05<00:02, 57.01it/s]
[2024-06-06 22:39:05] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.2.mlp.gate_up_proj.q_weight[0m", shape: (17920, 192), dtype: uint32
41%|████ | 81/198 [00:06<00:02, 57.01it/s]
[2024-06-06 22:39:05] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.2.mlp.gate_up_proj.q_scale[0m", shape: (17920, 48), dtype: float32
41%|████ | 81/198 [00:06<00:02, 57.01it/s]
44%|████▍ | 88/198 [00:06<00:01, 58.52it/s]
[2024-06-06 22:39:05] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.2.post_attention_layernorm.weight[0m", shape: (1536,), dtype: float32
44%|████▍ | 88/198 [00:06<00:01, 58.52it/s]
[2024-06-06 22:39:05] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.2.self_attn.c_attn.bias[0m", shape: (2048,), dtype: float32
44%|████▍ | 88/198 [00:06<00:01, 58.52it/s]
[2024-06-06 22:39:05] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.2.self_attn.c_attn.q_weight[0m", shape: (2048, 192), dtype: uint32
44%|████▍ | 88/198 [00:06<00:01, 58.52it/s]
[2024-06-06 22:39:05] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.2.self_attn.c_attn.q_scale[0m", shape: (2048, 48), dtype: float32
44%|████▍ | 88/198 [00:06<00:01, 58.52it/s]
[2024-06-06 22:39:05] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.2.self_attn.o_proj.q_weight[0m", shape: (1536, 192), dtype: uint32
44%|████▍ | 88/198 [00:06<00:01, 58.52it/s]
[2024-06-06 22:39:05] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.2.self_attn.o_proj.q_scale[0m", shape: (1536, 48), dtype: float32
44%|████▍ | 88/198 [00:06<00:01, 58.52it/s]
[2024-06-06 22:39:05] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.20.input_layernorm.weight[0m", shape: (1536,), dtype: float32
44%|████▍ | 88/198 [00:06<00:01, 58.52it/s]
[2024-06-06 22:39:05] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.20.mlp.down_proj.q_weight[0m", shape: (1536, 1120), dtype: uint32
44%|████▍ | 88/198 [00:06<00:01, 58.52it/s]
[2024-06-06 22:39:05] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.20.mlp.down_proj.q_scale[0m", shape: (1536, 280), dtype: float32
44%|████▍ | 88/198 [00:06<00:01, 58.52it/s]
[2024-06-06 22:39:05] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.20.mlp.gate_up_proj.q_weight[0m", shape: (17920, 192), dtype: uint32
44%|████▍ | 88/198 [00:06<00:01, 58.52it/s]
[2024-06-06 22:39:05] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.20.mlp.gate_up_proj.q_scale[0m", shape: (17920, 48), dtype: float32
44%|████▍ | 88/198 [00:06<00:01, 58.52it/s]
48%|████▊ | 95/198 [00:06<00:01, 59.39it/s]
[2024-06-06 22:39:05] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.20.post_attention_layernorm.weight[0m", shape: (1536,), dtype: float32
48%|████▊ | 95/198 [00:06<00:01, 59.39it/s]
[2024-06-06 22:39:05] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.20.self_attn.c_attn.bias[0m", shape: (2048,), dtype: float32
48%|████▊ | 95/198 [00:06<00:01, 59.39it/s]
[2024-06-06 22:39:05] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.20.self_attn.c_attn.q_weight[0m", shape: (2048, 192), dtype: uint32
48%|████▊ | 95/198 [00:06<00:01, 59.39it/s]
[2024-06-06 22:39:05] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.20.self_attn.c_attn.q_scale[0m", shape: (2048, 48), dtype: float32
48%|████▊ | 95/198 [00:06<00:01, 59.39it/s]
[2024-06-06 22:39:05] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.20.self_attn.o_proj.q_weight[0m", shape: (1536, 192), dtype: uint32
48%|████▊ | 95/198 [00:06<00:01, 59.39it/s]
[2024-06-06 22:39:05] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.20.self_attn.o_proj.q_scale[0m", shape: (1536, 48), dtype: float32
48%|████▊ | 95/198 [00:06<00:01, 59.39it/s]
[2024-06-06 22:39:05] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.21.input_layernorm.weight[0m", shape: (1536,), dtype: float32
48%|████▊ | 95/198 [00:06<00:01, 59.39it/s]
[2024-06-06 22:39:05] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.21.mlp.down_proj.q_weight[0m", shape: (1536, 1120), dtype: uint32
48%|████▊ | 95/198 [00:06<00:01, 59.39it/s]
[2024-06-06 22:39:05] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.21.mlp.down_proj.q_scale[0m", shape: (1536, 280), dtype: float32
48%|████▊ | 95/198 [00:06<00:01, 59.39it/s]
[2024-06-06 22:39:06] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.21.mlp.gate_up_proj.q_weight[0m", shape: (17920, 192), dtype: uint32
48%|████▊ | 95/198 [00:06<00:01, 59.39it/s]
[2024-06-06 22:39:06] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.21.mlp.gate_up_proj.q_scale[0m", shape: (17920, 48), dtype: float32
48%|████▊ | 95/198 [00:06<00:01, 59.39it/s]
52%|█████▏ | 102/198 [00:06<00:01, 60.23it/s]
[2024-06-06 22:39:06] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.21.post_attention_layernorm.weight[0m", shape: (1536,), dtype: float32
52%|█████▏ | 102/198 [00:06<00:01, 60.23it/s]
[2024-06-06 22:39:06] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.21.self_attn.c_attn.bias[0m", shape: (2048,), dtype: float32
52%|█████▏ | 102/198 [00:06<00:01, 60.23it/s]
[2024-06-06 22:39:06] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.21.self_attn.c_attn.q_weight[0m", shape: (2048, 192), dtype: uint32
52%|█████▏ | 102/198 [00:06<00:01, 60.23it/s]
[2024-06-06 22:39:06] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.21.self_attn.c_attn.q_scale[0m", shape: (2048, 48), dtype: float32
52%|█████▏ | 102/198 [00:06<00:01, 60.23it/s]
[2024-06-06 22:39:06] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.21.self_attn.o_proj.q_weight[0m", shape: (1536, 192), dtype: uint32
52%|█████▏ | 102/198 [00:06<00:01, 60.23it/s]
[2024-06-06 22:39:06] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.21.self_attn.o_proj.q_scale[0m", shape: (1536, 48), dtype: float32
52%|█████▏ | 102/198 [00:06<00:01, 60.23it/s]
[2024-06-06 22:39:06] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.22.input_layernorm.weight[0m", shape: (1536,), dtype: float32
52%|█████▏ | 102/198 [00:06<00:01, 60.23it/s]
[2024-06-06 22:39:06] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.22.mlp.down_proj.q_weight[0m", shape: (1536, 1120), dtype: uint32
52%|█████▏ | 102/198 [00:06<00:01, 60.23it/s]
[2024-06-06 22:39:06] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.22.mlp.down_proj.q_scale[0m", shape: (1536, 280), dtype: float32
52%|█████▏ | 102/198 [00:06<00:01, 60.23it/s]
[2024-06-06 22:39:06] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.22.mlp.gate_up_proj.q_weight[0m", shape: (17920, 192), dtype: uint32
52%|█████▏ | 102/198 [00:06<00:01, 60.23it/s]
[2024-06-06 22:39:06] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.22.mlp.gate_up_proj.q_scale[0m", shape: (17920, 48), dtype: float32
52%|█████▏ | 102/198 [00:06<00:01, 60.23it/s]
55%|█████▌ | 109/198 [00:06<00:01, 60.81it/s]
[2024-06-06 22:39:06] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.22.post_attention_layernorm.weight[0m", shape: (1536,), dtype: float32
55%|█████▌ | 109/198 [00:06<00:01, 60.81it/s]
[2024-06-06 22:39:06] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.22.self_attn.c_attn.bias[0m", shape: (2048,), dtype: float32
55%|█████▌ | 109/198 [00:06<00:01, 60.81it/s]
[2024-06-06 22:39:06] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.22.self_attn.c_attn.q_weight[0m", shape: (2048, 192), dtype: uint32
55%|█████▌ | 109/198 [00:06<00:01, 60.81it/s]
[2024-06-06 22:39:06] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.22.self_attn.c_attn.q_scale[0m", shape: (2048, 48), dtype: float32
55%|█████▌ | 109/198 [00:06<00:01, 60.81it/s]
[2024-06-06 22:39:06] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.22.self_attn.o_proj.q_weight[0m", shape: (1536, 192), dtype: uint32
55%|█████▌ | 109/198 [00:06<00:01, 60.81it/s]
[2024-06-06 22:39:06] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.22.self_attn.o_proj.q_scale[0m", shape: (1536, 48), dtype: float32
55%|█████▌ | 109/198 [00:06<00:01, 60.81it/s]
[2024-06-06 22:39:06] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.23.input_layernorm.weight[0m", shape: (1536,), dtype: float32
55%|█████▌ | 109/198 [00:06<00:01, 60.81it/s]
[2024-06-06 22:39:06] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.23.mlp.down_proj.q_weight[0m", shape: (1536, 1120), dtype: uint32
55%|█████▌ | 109/198 [00:06<00:01, 60.81it/s]
[2024-06-06 22:39:06] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.23.mlp.down_proj.q_scale[0m", shape: (1536, 280), dtype: float32
55%|█████▌ | 109/198 [00:06<00:01, 60.81it/s]
[2024-06-06 22:39:06] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.23.mlp.gate_up_proj.q_weight[0m", shape: (17920, 192), dtype: uint32
55%|█████▌ | 109/198 [00:06<00:01, 60.81it/s]
[2024-06-06 22:39:06] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.23.mlp.gate_up_proj.q_scale[0m", shape: (17920, 48), dtype: float32
55%|█████▌ | 109/198 [00:06<00:01, 60.81it/s]
59%|█████▊ | 116/198 [00:06<00:01, 61.24it/s]
[2024-06-06 22:39:06] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.23.post_attention_layernorm.weight[0m", shape: (1536,), dtype: float32
59%|█████▊ | 116/198 [00:06<00:01, 61.24it/s]
[2024-06-06 22:39:06] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.23.self_attn.c_attn.bias[0m", shape: (2048,), dtype: float32
59%|█████▊ | 116/198 [00:06<00:01, 61.24it/s]
[2024-06-06 22:39:06] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.23.self_attn.c_attn.q_weight[0m", shape: (2048, 192), dtype: uint32
59%|█████▊ | 116/198 [00:06<00:01, 61.24it/s]
[2024-06-06 22:39:06] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.23.self_attn.c_attn.q_scale[0m", shape: (2048, 48), dtype: float32
59%|█████▊ | 116/198 [00:06<00:01, 61.24it/s]
[2024-06-06 22:39:06] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.23.self_attn.o_proj.q_weight[0m", shape: (1536, 192), dtype: uint32
59%|█████▊ | 116/198 [00:06<00:01, 61.24it/s]
[2024-06-06 22:39:06] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.23.self_attn.o_proj.q_scale[0m", shape: (1536, 48), dtype: float32
59%|█████▊ | 116/198 [00:06<00:01, 61.24it/s]
[2024-06-06 22:39:06] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.24.input_layernorm.weight[0m", shape: (1536,), dtype: float32
59%|█████▊ | 116/198 [00:06<00:01, 61.24it/s]
[2024-06-06 22:39:06] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.24.mlp.down_proj.q_weight[0m", shape: (1536, 1120), dtype: uint32
59%|█████▊ | 116/198 [00:06<00:01, 61.24it/s]
[2024-06-06 22:39:06] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.24.mlp.down_proj.q_scale[0m", shape: (1536, 280), dtype: float32
59%|█████▊ | 116/198 [00:06<00:01, 61.24it/s]
[2024-06-06 22:39:06] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.24.mlp.gate_up_proj.q_weight[0m", shape: (17920, 192), dtype: uint32
59%|█████▊ | 116/198 [00:06<00:01, 61.24it/s]
[2024-06-06 22:39:06] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.24.mlp.gate_up_proj.q_scale[0m", shape: (17920, 48), dtype: float32
59%|█████▊ | 116/198 [00:06<00:01, 61.24it/s]
62%|██████▏ | 123/198 [00:06<00:01, 61.37it/s]
[2024-06-06 22:39:06] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.24.post_attention_layernorm.weight[0m", shape: (1536,), dtype: float32
62%|██████▏ | 123/198 [00:06<00:01, 61.37it/s]
[2024-06-06 22:39:06] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.24.self_attn.c_attn.bias[0m", shape: (2048,), dtype: float32
62%|██████▏ | 123/198 [00:06<00:01, 61.37it/s]
[2024-06-06 22:39:06] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.24.self_attn.c_attn.q_weight[0m", shape: (2048, 192), dtype: uint32
62%|██████▏ | 123/198 [00:06<00:01, 61.37it/s]
[2024-06-06 22:39:06] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.24.self_attn.c_attn.q_scale[0m", shape: (2048, 48), dtype: float32
62%|██████▏ | 123/198 [00:06<00:01, 61.37it/s]
[2024-06-06 22:39:06] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.24.self_attn.o_proj.q_weight[0m", shape: (1536, 192), dtype: uint32
62%|██████▏ | 123/198 [00:06<00:01, 61.37it/s]
[2024-06-06 22:39:06] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.24.self_attn.o_proj.q_scale[0m", shape: (1536, 48), dtype: float32
62%|██████▏ | 123/198 [00:06<00:01, 61.37it/s]
[2024-06-06 22:39:06] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.25.input_layernorm.weight[0m", shape: (1536,), dtype: float32
62%|██████▏ | 123/198 [00:06<00:01, 61.37it/s]
[2024-06-06 22:39:06] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.25.mlp.down_proj.q_weight[0m", shape: (1536, 1120), dtype: uint32
62%|██████▏ | 123/198 [00:06<00:01, 61.37it/s]
[2024-06-06 22:39:06] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.25.mlp.down_proj.q_scale[0m", shape: (1536, 280), dtype: float32
62%|██████▏ | 123/198 [00:06<00:01, 61.37it/s]
[2024-06-06 22:39:06] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.25.mlp.gate_up_proj.q_weight[0m", shape: (17920, 192), dtype: uint32
62%|██████▏ | 123/198 [00:06<00:01, 61.37it/s]
[2024-06-06 22:39:06] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.25.mlp.gate_up_proj.q_scale[0m", shape: (17920, 48), dtype: float32
62%|██████▏ | 123/198 [00:06<00:01, 61.37it/s]
66%|██████▌ | 130/198 [00:06<00:01, 61.67it/s]
[2024-06-06 22:39:06] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.25.post_attention_layernorm.weight[0m", shape: (1536,), dtype: float32
66%|██████▌ | 130/198 [00:06<00:01, 61.67it/s]
[2024-06-06 22:39:06] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.25.self_attn.c_attn.bias[0m", shape: (2048,), dtype: float32
66%|██████▌ | 130/198 [00:06<00:01, 61.67it/s]
[2024-06-06 22:39:06] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.25.self_attn.c_attn.q_weight[0m", shape: (2048, 192), dtype: uint32
66%|██████▌ | 130/198 [00:06<00:01, 61.67it/s]
[2024-06-06 22:39:06] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.25.self_attn.c_attn.q_scale[0m", shape: (2048, 48), dtype: float32
66%|██████▌ | 130/198 [00:06<00:01, 61.67it/s]
[2024-06-06 22:39:06] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.25.self_attn.o_proj.q_weight[0m", shape: (1536, 192), dtype: uint32
66%|██████▌ | 130/198 [00:06<00:01, 61.67it/s]
[2024-06-06 22:39:06] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.25.self_attn.o_proj.q_scale[0m", shape: (1536, 48), dtype: float32
66%|██████▌ | 130/198 [00:06<00:01, 61.67it/s]
[2024-06-06 22:39:06] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.26.input_layernorm.weight[0m", shape: (1536,), dtype: float32
66%|██████▌ | 130/198 [00:06<00:01, 61.67it/s]
[2024-06-06 22:39:06] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.26.mlp.down_proj.q_weight[0m", shape: (1536, 1120), dtype: uint32
66%|██████▌ | 130/198 [00:06<00:01, 61.67it/s]
[2024-06-06 22:39:06] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.26.mlp.down_proj.q_scale[0m", shape: (1536, 280), dtype: float32
66%|██████▌ | 130/198 [00:06<00:01, 61.67it/s]
[2024-06-06 22:39:06] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.26.mlp.gate_up_proj.q_weight[0m", shape: (17920, 192), dtype: uint32
66%|██████▌ | 130/198 [00:06<00:01, 61.67it/s]
[2024-06-06 22:39:06] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.26.mlp.gate_up_proj.q_scale[0m", shape: (17920, 48), dtype: float32
66%|██████▌ | 130/198 [00:06<00:01, 61.67it/s]
69%|██████▉ | 137/198 [00:06<00:00, 61.89it/s]
[2024-06-06 22:39:06] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.26.post_attention_layernorm.weight[0m", shape: (1536,), dtype: float32
69%|██████▉ | 137/198 [00:06<00:00, 61.89it/s]
[2024-06-06 22:39:06] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.26.self_attn.c_attn.bias[0m", shape: (2048,), dtype: float32
69%|██████▉ | 137/198 [00:06<00:00, 61.89it/s]
[2024-06-06 22:39:06] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.26.self_attn.c_attn.q_weight[0m", shape: (2048, 192), dtype: uint32
69%|██████▉ | 137/198 [00:06<00:00, 61.89it/s]
[2024-06-06 22:39:06] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.26.self_attn.c_attn.q_scale[0m", shape: (2048, 48), dtype: float32
69%|██████▉ | 137/198 [00:06<00:00, 61.89it/s]
[2024-06-06 22:39:06] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.26.self_attn.o_proj.q_weight[0m", shape: (1536, 192), dtype: uint32
69%|██████▉ | 137/198 [00:06<00:00, 61.89it/s]
[2024-06-06 22:39:06] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.26.self_attn.o_proj.q_scale[0m", shape: (1536, 48), dtype: float32
69%|██████▉ | 137/198 [00:06<00:00, 61.89it/s]
[2024-06-06 22:39:06] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.27.input_layernorm.weight[0m", shape: (1536,), dtype: float32
69%|██████▉ | 137/198 [00:06<00:00, 61.89it/s]
[2024-06-06 22:39:06] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.27.mlp.down_proj.q_weight[0m", shape: (1536, 1120), dtype: uint32
69%|██████▉ | 137/198 [00:06<00:00, 61.89it/s]
[2024-06-06 22:39:06] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.27.mlp.down_proj.q_scale[0m", shape: (1536, 280), dtype: float32
69%|██████▉ | 137/198 [00:06<00:00, 61.89it/s]
[2024-06-06 22:39:06] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.27.mlp.gate_up_proj.q_weight[0m", shape: (17920, 192), dtype: uint32
69%|██████▉ | 137/198 [00:06<00:00, 61.89it/s]
[2024-06-06 22:39:06] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.27.mlp.gate_up_proj.q_scale[0m", shape: (17920, 48), dtype: float32
69%|██████▉ | 137/198 [00:06<00:00, 61.89it/s]
73%|███████▎ | 144/198 [00:06<00:00, 62.01it/s]
[2024-06-06 22:39:06] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.27.post_attention_layernorm.weight[0m", shape: (1536,), dtype: float32
73%|███████▎ | 144/198 [00:06<00:00, 62.01it/s]
[2024-06-06 22:39:06] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.27.self_attn.c_attn.bias[0m", shape: (2048,), dtype: float32
73%|███████▎ | 144/198 [00:06<00:00, 62.01it/s]
[2024-06-06 22:39:06] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.27.self_attn.c_attn.q_weight[0m", shape: (2048, 192), dtype: uint32
73%|███████▎ | 144/198 [00:06<00:00, 62.01it/s]
[2024-06-06 22:39:06] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.27.self_attn.c_attn.q_scale[0m", shape: (2048, 48), dtype: float32
73%|███████▎ | 144/198 [00:06<00:00, 62.01it/s]
[2024-06-06 22:39:06] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.27.self_attn.o_proj.q_weight[0m", shape: (1536, 192), dtype: uint32
73%|███████▎ | 144/198 [00:06<00:00, 62.01it/s]
[2024-06-06 22:39:06] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.27.self_attn.o_proj.q_scale[0m", shape: (1536, 48), dtype: float32
73%|███████▎ | 144/198 [00:06<00:00, 62.01it/s]
[2024-06-06 22:39:06] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.3.input_layernorm.weight[0m", shape: (1536,), dtype: float32
73%|███████▎ | 144/198 [00:06<00:00, 62.01it/s]
[2024-06-06 22:39:06] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.3.mlp.down_proj.q_weight[0m", shape: (1536, 1120), dtype: uint32
73%|███████▎ | 144/198 [00:07<00:00, 62.01it/s]
[2024-06-06 22:39:06] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.3.mlp.down_proj.q_scale[0m", shape: (1536, 280), dtype: float32
73%|███████▎ | 144/198 [00:07<00:00, 62.01it/s]
[2024-06-06 22:39:06] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.3.mlp.gate_up_proj.q_weight[0m", shape: (17920, 192), dtype: uint32
73%|███████▎ | 144/198 [00:07<00:00, 62.01it/s]
[2024-06-06 22:39:06] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.3.mlp.gate_up_proj.q_scale[0m", shape: (17920, 48), dtype: float32
73%|███████▎ | 144/198 [00:07<00:00, 62.01it/s]
76%|███████▋ | 151/198 [00:07<00:00, 61.96it/s]
[2024-06-06 22:39:06] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.3.post_attention_layernorm.weight[0m", shape: (1536,), dtype: float32
76%|███████▋ | 151/198 [00:07<00:00, 61.96it/s]
[2024-06-06 22:39:06] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.3.self_attn.c_attn.bias[0m", shape: (2048,), dtype: float32
76%|███████▋ | 151/198 [00:07<00:00, 61.96it/s]
[2024-06-06 22:39:06] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.3.self_attn.c_attn.q_weight[0m", shape: (2048, 192), dtype: uint32
76%|███████▋ | 151/198 [00:07<00:00, 61.96it/s]
[2024-06-06 22:39:06] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.3.self_attn.c_attn.q_scale[0m", shape: (2048, 48), dtype: float32
76%|███████▋ | 151/198 [00:07<00:00, 61.96it/s]
[2024-06-06 22:39:06] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.3.self_attn.o_proj.q_weight[0m", shape: (1536, 192), dtype: uint32
76%|███████▋ | 151/198 [00:07<00:00, 61.96it/s]
[2024-06-06 22:39:06] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.3.self_attn.o_proj.q_scale[0m", shape: (1536, 48), dtype: float32
76%|███████▋ | 151/198 [00:07<00:00, 61.96it/s]
[2024-06-06 22:39:06] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.4.input_layernorm.weight[0m", shape: (1536,), dtype: float32
76%|███████▋ | 151/198 [00:07<00:00, 61.96it/s]
[2024-06-06 22:39:06] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.4.mlp.down_proj.q_weight[0m", shape: (1536, 1120), dtype: uint32
76%|███████▋ | 151/198 [00:07<00:00, 61.96it/s]
[2024-06-06 22:39:06] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.4.mlp.down_proj.q_scale[0m", shape: (1536, 280), dtype: float32
76%|███████▋ | 151/198 [00:07<00:00, 61.96it/s]
[2024-06-06 22:39:06] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.4.mlp.gate_up_proj.q_weight[0m", shape: (17920, 192), dtype: uint32
76%|███████▋ | 151/198 [00:07<00:00, 61.96it/s]
[2024-06-06 22:39:06] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.4.mlp.gate_up_proj.q_scale[0m", shape: (17920, 48), dtype: float32
76%|███████▋ | 151/198 [00:07<00:00, 61.96it/s]
80%|███████▉ | 158/198 [00:07<00:00, 61.89it/s]
[2024-06-06 22:39:06] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.4.post_attention_layernorm.weight[0m", shape: (1536,), dtype: float32
80%|███████▉ | 158/198 [00:07<00:00, 61.89it/s]
[2024-06-06 22:39:06] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.4.self_attn.c_attn.bias[0m", shape: (2048,), dtype: float32
80%|███████▉ | 158/198 [00:07<00:00, 61.89it/s]
[2024-06-06 22:39:06] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.4.self_attn.c_attn.q_weight[0m", shape: (2048, 192), dtype: uint32
80%|███████▉ | 158/198 [00:07<00:00, 61.89it/s]
[2024-06-06 22:39:06] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.4.self_attn.c_attn.q_scale[0m", shape: (2048, 48), dtype: float32
80%|███████▉ | 158/198 [00:07<00:00, 61.89it/s]
[2024-06-06 22:39:06] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.4.self_attn.o_proj.q_weight[0m", shape: (1536, 192), dtype: uint32
80%|███████▉ | 158/198 [00:07<00:00, 61.89it/s]
[2024-06-06 22:39:06] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.4.self_attn.o_proj.q_scale[0m", shape: (1536, 48), dtype: float32
80%|███████▉ | 158/198 [00:07<00:00, 61.89it/s]
[2024-06-06 22:39:06] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.5.input_layernorm.weight[0m", shape: (1536,), dtype: float32
80%|███████▉ | 158/198 [00:07<00:00, 61.89it/s]
[2024-06-06 22:39:06] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.5.mlp.down_proj.q_weight[0m", shape: (1536, 1120), dtype: uint32
80%|███████▉ | 158/198 [00:07<00:00, 61.89it/s]
[2024-06-06 22:39:06] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.5.mlp.down_proj.q_scale[0m", shape: (1536, 280), dtype: float32
80%|███████▉ | 158/198 [00:07<00:00, 61.89it/s]
[2024-06-06 22:39:07] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.5.mlp.gate_up_proj.q_weight[0m", shape: (17920, 192), dtype: uint32
80%|███████▉ | 158/198 [00:07<00:00, 61.89it/s]
[2024-06-06 22:39:07] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.5.mlp.gate_up_proj.q_scale[0m", shape: (17920, 48), dtype: float32
80%|███████▉ | 158/198 [00:07<00:00, 61.89it/s]
83%|████████▎ | 165/198 [00:07<00:00, 61.75it/s]
[2024-06-06 22:39:07] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.5.post_attention_layernorm.weight[0m", shape: (1536,), dtype: float32
83%|████████▎ | 165/198 [00:07<00:00, 61.75it/s]
[2024-06-06 22:39:07] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.5.self_attn.c_attn.bias[0m", shape: (2048,), dtype: float32
83%|████████▎ | 165/198 [00:07<00:00, 61.75it/s]
[2024-06-06 22:39:07] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.5.self_attn.c_attn.q_weight[0m", shape: (2048, 192), dtype: uint32
83%|████████▎ | 165/198 [00:07<00:00, 61.75it/s]
[2024-06-06 22:39:07] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.5.self_attn.c_attn.q_scale[0m", shape: (2048, 48), dtype: float32
83%|████████▎ | 165/198 [00:07<00:00, 61.75it/s]
[2024-06-06 22:39:07] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.5.self_attn.o_proj.q_weight[0m", shape: (1536, 192), dtype: uint32
83%|████████▎ | 165/198 [00:07<00:00, 61.75it/s]
[2024-06-06 22:39:07] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.5.self_attn.o_proj.q_scale[0m", shape: (1536, 48), dtype: float32
83%|████████▎ | 165/198 [00:07<00:00, 61.75it/s]
[2024-06-06 22:39:07] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.6.input_layernorm.weight[0m", shape: (1536,), dtype: float32
83%|████████▎ | 165/198 [00:07<00:00, 61.75it/s]
[2024-06-06 22:39:07] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.6.mlp.down_proj.q_weight[0m", shape: (1536, 1120), dtype: uint32
83%|████████▎ | 165/198 [00:07<00:00, 61.75it/s]
[2024-06-06 22:39:07] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.6.mlp.down_proj.q_scale[0m", shape: (1536, 280), dtype: float32
83%|████████▎ | 165/198 [00:07<00:00, 61.75it/s]
[2024-06-06 22:39:07] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.6.mlp.gate_up_proj.q_weight[0m", shape: (17920, 192), dtype: uint32
83%|████████▎ | 165/198 [00:07<00:00, 61.75it/s]
[2024-06-06 22:39:07] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.6.mlp.gate_up_proj.q_scale[0m", shape: (17920, 48), dtype: float32
83%|████████▎ | 165/198 [00:07<00:00, 61.75it/s]
87%|████████▋ | 172/198 [00:07<00:00, 61.93it/s]
[2024-06-06 22:39:07] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.6.post_attention_layernorm.weight[0m", shape: (1536,), dtype: float32
87%|████████▋ | 172/198 [00:07<00:00, 61.93it/s]
[2024-06-06 22:39:07] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.6.self_attn.c_attn.bias[0m", shape: (2048,), dtype: float32
87%|████████▋ | 172/198 [00:07<00:00, 61.93it/s]
[2024-06-06 22:39:07] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.6.self_attn.c_attn.q_weight[0m", shape: (2048, 192), dtype: uint32
87%|████████▋ | 172/198 [00:07<00:00, 61.93it/s]
[2024-06-06 22:39:07] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.6.self_attn.c_attn.q_scale[0m", shape: (2048, 48), dtype: float32
87%|████████▋ | 172/198 [00:07<00:00, 61.93it/s]
[2024-06-06 22:39:07] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.6.self_attn.o_proj.q_weight[0m", shape: (1536, 192), dtype: uint32
87%|████████▋ | 172/198 [00:07<00:00, 61.93it/s]
[2024-06-06 22:39:07] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.6.self_attn.o_proj.q_scale[0m", shape: (1536, 48), dtype: float32
87%|████████▋ | 172/198 [00:07<00:00, 61.93it/s]
[2024-06-06 22:39:07] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.7.input_layernorm.weight[0m", shape: (1536,), dtype: float32
87%|████████▋ | 172/198 [00:07<00:00, 61.93it/s]
[2024-06-06 22:39:07] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.7.mlp.down_proj.q_weight[0m", shape: (1536, 1120), dtype: uint32
87%|████████▋ | 172/198 [00:07<00:00, 61.93it/s]
[2024-06-06 22:39:07] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.7.mlp.down_proj.q_scale[0m", shape: (1536, 280), dtype: float32
87%|████████▋ | 172/198 [00:07<00:00, 61.93it/s]
[2024-06-06 22:39:07] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.7.mlp.gate_up_proj.q_weight[0m", shape: (17920, 192), dtype: uint32
87%|████████▋ | 172/198 [00:07<00:00, 61.93it/s]
[2024-06-06 22:39:07] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.7.mlp.gate_up_proj.q_scale[0m", shape: (17920, 48), dtype: float32
87%|████████▋ | 172/198 [00:07<00:00, 61.93it/s]
90%|█████████ | 179/198 [00:07<00:00, 61.71it/s]
[2024-06-06 22:39:07] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.7.post_attention_layernorm.weight[0m", shape: (1536,), dtype: float32
90%|█████████ | 179/198 [00:07<00:00, 61.71it/s]
[2024-06-06 22:39:07] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.7.self_attn.c_attn.bias[0m", shape: (2048,), dtype: float32
90%|█████████ | 179/198 [00:07<00:00, 61.71it/s]
[2024-06-06 22:39:07] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.7.self_attn.c_attn.q_weight[0m", shape: (2048, 192), dtype: uint32
90%|█████████ | 179/198 [00:07<00:00, 61.71it/s]
[2024-06-06 22:39:07] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.7.self_attn.c_attn.q_scale[0m", shape: (2048, 48), dtype: float32
90%|█████████ | 179/198 [00:07<00:00, 61.71it/s]
[2024-06-06 22:39:07] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.7.self_attn.o_proj.q_weight[0m", shape: (1536, 192), dtype: uint32
90%|█████████ | 179/198 [00:07<00:00, 61.71it/s]
[2024-06-06 22:39:07] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.7.self_attn.o_proj.q_scale[0m", shape: (1536, 48), dtype: float32
90%|█████████ | 179/198 [00:07<00:00, 61.71it/s]
[2024-06-06 22:39:07] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.8.input_layernorm.weight[0m", shape: (1536,), dtype: float32
90%|█████████ | 179/198 [00:07<00:00, 61.71it/s]
[2024-06-06 22:39:07] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.8.mlp.down_proj.q_weight[0m", shape: (1536, 1120), dtype: uint32
90%|█████████ | 179/198 [00:07<00:00, 61.71it/s]
[2024-06-06 22:39:07] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.8.mlp.down_proj.q_scale[0m", shape: (1536, 280), dtype: float32
90%|█████████ | 179/198 [00:07<00:00, 61.71it/s]
[2024-06-06 22:39:07] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.8.mlp.gate_up_proj.q_weight[0m", shape: (17920, 192), dtype: uint32
90%|█████████ | 179/198 [00:07<00:00, 61.71it/s]
[2024-06-06 22:39:07] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.8.mlp.gate_up_proj.q_scale[0m", shape: (17920, 48), dtype: float32
90%|█████████ | 179/198 [00:07<00:00, 61.71it/s]
94%|█████████▍| 186/198 [00:07<00:00, 61.80it/s]
[2024-06-06 22:39:07] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.8.post_attention_layernorm.weight[0m", shape: (1536,), dtype: float32
94%|█████████▍| 186/198 [00:07<00:00, 61.80it/s]
[2024-06-06 22:39:07] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.8.self_attn.c_attn.bias[0m", shape: (2048,), dtype: float32
94%|█████████▍| 186/198 [00:07<00:00, 61.80it/s]
[2024-06-06 22:39:07] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.8.self_attn.c_attn.q_weight[0m", shape: (2048, 192), dtype: uint32
94%|█████████▍| 186/198 [00:07<00:00, 61.80it/s]
[2024-06-06 22:39:07] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.8.self_attn.c_attn.q_scale[0m", shape: (2048, 48), dtype: float32
94%|█████████▍| 186/198 [00:07<00:00, 61.80it/s]
[2024-06-06 22:39:07] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.8.self_attn.o_proj.q_weight[0m", shape: (1536, 192), dtype: uint32
94%|█████████▍| 186/198 [00:07<00:00, 61.80it/s]
[2024-06-06 22:39:07] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.8.self_attn.o_proj.q_scale[0m", shape: (1536, 48), dtype: float32
94%|█████████▍| 186/198 [00:07<00:00, 61.80it/s]
[2024-06-06 22:39:07] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.9.input_layernorm.weight[0m", shape: (1536,), dtype: float32
94%|█████████▍| 186/198 [00:07<00:00, 61.80it/s]
[2024-06-06 22:39:07] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.9.mlp.down_proj.q_weight[0m", shape: (1536, 1120), dtype: uint32
94%|█████████▍| 186/198 [00:07<00:00, 61.80it/s]
[2024-06-06 22:39:07] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.9.mlp.down_proj.q_scale[0m", shape: (1536, 280), dtype: float32
94%|█████████▍| 186/198 [00:07<00:00, 61.80it/s]
[2024-06-06 22:39:07] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.9.mlp.gate_up_proj.q_weight[0m", shape: (17920, 192), dtype: uint32
94%|█████████▍| 186/198 [00:07<00:00, 61.80it/s]
[2024-06-06 22:39:07] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.9.mlp.gate_up_proj.q_scale[0m", shape: (17920, 48), dtype: float32
94%|█████████▍| 186/198 [00:07<00:00, 61.80it/s]
97%|█████████▋| 193/198 [00:07<00:00, 61.95it/s]
[2024-06-06 22:39:07] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.9.post_attention_layernorm.weight[0m", shape: (1536,), dtype: float32
97%|█████████▋| 193/198 [00:07<00:00, 61.95it/s]
[2024-06-06 22:39:07] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.9.self_attn.c_attn.bias[0m", shape: (2048,), dtype: float32
97%|█████████▋| 193/198 [00:07<00:00, 61.95it/s]
[2024-06-06 22:39:07] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.9.self_attn.c_attn.q_weight[0m", shape: (2048, 192), dtype: uint32
97%|█████████▋| 193/198 [00:07<00:00, 61.95it/s]
[2024-06-06 22:39:07] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.9.self_attn.c_attn.q_scale[0m", shape: (2048, 48), dtype: float32
97%|█████████▋| 193/198 [00:07<00:00, 61.95it/s]
[2024-06-06 22:39:07] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.9.self_attn.o_proj.q_weight[0m", shape: (1536, 192), dtype: uint32
97%|█████████▋| 193/198 [00:07<00:00, 61.95it/s]
[2024-06-06 22:39:07] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.9.self_attn.o_proj.q_scale[0m", shape: (1536, 48), dtype: float32
97%|█████████▋| 193/198 [00:07<00:00, 61.95it/s]
[2024-06-06 22:39:07] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.norm.weight[0m", shape: (1536,), dtype: float32
97%|█████████▋| 193/198 [00:07<00:00, 61.95it/s]
100%|██████████| 198/198 [00:07<00:00, 25.43it/s]
[2024-06-06 22:39:07] INFO huggingface_loader.py:197: Unloading HF weight file: /ssd2/models/Qwen2-1.5B-Instruct/model.safetensors
[2024-06-06 22:39:07] INFO stats.py:77: [92mTime usage[0m: HF loading: 1.829 sec; Pre-quantization mapping: 1.099 sec; Quantization: 2.448 sec
[2024-06-06 22:39:07] INFO stats.py:91: [92mRAM usage[0m: Peak RAM: 5.751 GB. Total bytes loaded from disk: 5.751 GB
[2024-06-06 22:39:07] INFO convert_weight.py:155: [92mParameter size[0m after quantization: 0.899 GB
[2024-06-06 22:39:07] INFO convert_weight.py:160: [92mTotal parameters[0m: 1,543,714,304
[2024-06-06 22:39:07] INFO convert_weight.py:161: [92mBits per parameter[0m: 5.003
[2024-06-06 22:39:07] INFO convert_weight.py:166: Saved to directory: [1m/models/mlc-delivery/hf/mlc-ai/Qwen2-1.5B-Instruct-q4f32_1-MLC[0m
All finished, 30 total shards committed, record saved to /models/mlc-delivery/hf/mlc-ai/Qwen2-1.5B-Instruct-q4f32_1-MLC/ndarray-cache.json
Also saved a bf16 record to /models/mlc-delivery/hf/mlc-ai/Qwen2-1.5B-Instruct-q4f32_1-MLC/ndarray-cache-b16.json
|