File size: 71,561 Bytes
61f7bb0 |
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 |
/opt/conda/envs/py310/bin/python -m mlc_llm gen_config /models/TinyLlama-1.1B-Chat-v1.0 --quantization q4f32_1 --conv-template chatml --output /models/mlc-delivery/hf/mlc-ai/TinyLlama-1.1B-Chat-v1.0-q4f32_1-MLC [2024-06-04 20:07:17] INFO auto_config.py:116: [92mFound[0m model configuration: /models/TinyLlama-1.1B-Chat-v1.0/config.json [2024-06-04 20:07:17] INFO auto_config.py:154: [92mFound[0m model type: [1mllama[0m. Use `--model-type` to override. [2024-06-04 20:07:17] INFO llama_model.py:52: [1mcontext_window_size[0m not found in config.json. Falling back to [1mmax_position_embeddings[0m (2048) [2024-06-04 20:07:17] INFO llama_model.py:72: [1mprefill_chunk_size[0m defaults to 2048 [2024-06-04 20:07:17] INFO config.py:107: Overriding [1mmax_batch_size[0m from 1 to 80 [2024-06-04 20:07:17] INFO gen_config.py:143: [generation_config.json] Setting [1mbos_token_id[0m: 1 [2024-06-04 20:07:17] INFO gen_config.py:143: [generation_config.json] Setting [1meos_token_id[0m: 2 [2024-06-04 20:07:17] INFO gen_config.py:143: [generation_config.json] Setting [1mpad_token_id[0m: 0 [2024-06-04 20:07:17] INFO gen_config.py:155: [92mFound[0m tokenizer config: /models/TinyLlama-1.1B-Chat-v1.0/tokenizer.model. Copying to [1m/models/mlc-delivery/hf/mlc-ai/TinyLlama-1.1B-Chat-v1.0-q4f32_1-MLC/tokenizer.model[0m [2024-06-04 20:07:17] INFO gen_config.py:155: [92mFound[0m tokenizer config: /models/TinyLlama-1.1B-Chat-v1.0/tokenizer.json. Copying to [1m/models/mlc-delivery/hf/mlc-ai/TinyLlama-1.1B-Chat-v1.0-q4f32_1-MLC/tokenizer.json[0m [2024-06-04 20:07:17] INFO gen_config.py:157: [91mNot found[0m tokenizer config: /models/TinyLlama-1.1B-Chat-v1.0/vocab.json [2024-06-04 20:07:17] INFO gen_config.py:157: [91mNot found[0m tokenizer config: /models/TinyLlama-1.1B-Chat-v1.0/merges.txt [2024-06-04 20:07:17] INFO gen_config.py:157: [91mNot found[0m tokenizer config: /models/TinyLlama-1.1B-Chat-v1.0/added_tokens.json [2024-06-04 20:07:17] INFO gen_config.py:155: [92mFound[0m tokenizer config: /models/TinyLlama-1.1B-Chat-v1.0/tokenizer_config.json. Copying to [1m/models/mlc-delivery/hf/mlc-ai/TinyLlama-1.1B-Chat-v1.0-q4f32_1-MLC/tokenizer_config.json[0m [2024-06-04 20:07:17] INFO gen_config.py:216: Detected tokenizer info: {'token_postproc_method': 'byte_fallback', 'prepend_space_in_encode': True, 'strip_space_in_decode': True} [2024-06-04 20:07:17] INFO gen_config.py:32: [System default] Setting [1mtemperature[0m: 1.0 [2024-06-04 20:07:17] INFO gen_config.py:32: [System default] Setting [1mpresence_penalty[0m: 0.0 [2024-06-04 20:07:17] INFO gen_config.py:32: [System default] Setting [1mfrequency_penalty[0m: 0.0 [2024-06-04 20:07:17] INFO gen_config.py:32: [System default] Setting [1mrepetition_penalty[0m: 1.0 [2024-06-04 20:07:17] INFO gen_config.py:32: [System default] Setting [1mtop_p[0m: 1.0 [2024-06-04 20:07:17] INFO gen_config.py:223: Dumping configuration file to: [1m/models/mlc-delivery/hf/mlc-ai/TinyLlama-1.1B-Chat-v1.0-q4f32_1-MLC/mlc-chat-config.json[0m /opt/conda/envs/py310/bin/python -m mlc_llm convert_weight /models/TinyLlama-1.1B-Chat-v1.0 --quantization q4f32_1 --output /models/mlc-delivery/hf/mlc-ai/TinyLlama-1.1B-Chat-v1.0-q4f32_1-MLC [2024-06-04 20:07:19] INFO auto_config.py:116: [92mFound[0m model configuration: /models/TinyLlama-1.1B-Chat-v1.0/config.json [2024-06-04 20:07:20] INFO auto_device.py:79: [92mFound[0m device: cuda:0 [2024-06-04 20:07:21] INFO auto_device.py:88: [91mNot found[0m device: rocm:0 [2024-06-04 20:07:23] INFO auto_device.py:88: [91mNot found[0m device: metal:0 [2024-06-04 20:07:25] INFO auto_device.py:79: [92mFound[0m device: vulkan:0 [2024-06-04 20:07:25] INFO auto_device.py:79: [92mFound[0m device: vulkan:1 [2024-06-04 20:07:25] INFO auto_device.py:79: [92mFound[0m device: vulkan:2 [2024-06-04 20:07:25] INFO auto_device.py:79: [92mFound[0m device: vulkan:3 [2024-06-04 20:07:26] INFO auto_device.py:88: [91mNot found[0m device: opencl:0 [2024-06-04 20:07:26] INFO auto_device.py:35: Using device: [1mcuda:0[0m [2024-06-04 20:07:26] INFO auto_weight.py:71: Finding weights in: /models/TinyLlama-1.1B-Chat-v1.0 [2024-06-04 20:07:26] INFO auto_weight.py:137: [91mNot found[0m Huggingface PyTorch [2024-06-04 20:07:27] INFO auto_weight.py:161: [92mFound[0m source weight format: huggingface-safetensor. Source configuration: /models/TinyLlama-1.1B-Chat-v1.0/model.safetensors.index.json [2024-06-04 20:07:27] INFO auto_weight.py:107: Using source weight configuration: [1m/models/TinyLlama-1.1B-Chat-v1.0/model.safetensors.index.json[0m. Use `--source` to override. [2024-06-04 20:07:27] INFO auto_weight.py:111: Using source weight format: [1mhuggingface-safetensor[0m. Use `--source-format` to override. [2024-06-04 20:07:27] INFO auto_config.py:154: [92mFound[0m model type: [1mllama[0m. Use `--model-type` to override. [2024-06-04 20:07:27] INFO llama_model.py:52: [1mcontext_window_size[0m not found in config.json. Falling back to [1mmax_position_embeddings[0m (2048) [2024-06-04 20:07:27] INFO llama_model.py:72: [1mprefill_chunk_size[0m defaults to 2048 [1mWeight conversion with arguments:[0m [1m--config[0m /models/TinyLlama-1.1B-Chat-v1.0/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 llama [1m--device[0m cuda:0 [1m--source[0m /models/TinyLlama-1.1B-Chat-v1.0/model.safetensors.index.json [1m--source-format[0m huggingface-safetensor [1m--output[0m /models/mlc-delivery/hf/mlc-ai/TinyLlama-1.1B-Chat-v1.0-q4f32_1-MLC Start storing to cache /models/mlc-delivery/hf/mlc-ai/TinyLlama-1.1B-Chat-v1.0-q4f32_1-MLC 0%| | 0/135 [00:00<?, ?it/s] [2024-06-04 20:07:30] INFO huggingface_loader.py:185: Loading HF parameters from: /models/TinyLlama-1.1B-Chat-v1.0/model.safetensors 0%| | 0/135 [00:00<?, ?it/s] [2024-06-04 20:07:32] INFO group_quantization.py:217: Compiling quantize function for key: ((32000, 2048), float32, cuda, axis=1, output_transpose=False) 0%| | 0/135 [00:02<?, ?it/s] [2024-06-04 20:07:33] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mlm_head.q_weight[0m", shape: (32000, 256), dtype: uint32 0%| | 0/135 [00:03<?, ?it/s] [2024-06-04 20:07:33] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mlm_head.q_scale[0m", shape: (32000, 64), dtype: float32 0%| | 0/135 [00:03<?, ?it/s] 1%| | 1/135 [00:03<07:24, 3.32s/it] [2024-06-04 20:07:33] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.embed_tokens.q_weight[0m", shape: (32000, 256), dtype: uint32 1%| | 1/135 [00:03<07:24, 3.32s/it] [2024-06-04 20:07:33] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.embed_tokens.q_scale[0m", shape: (32000, 64), dtype: float32 1%| | 1/135 [00:03<07:24, 3.32s/it] 1%|β | 2/135 [00:03<03:13, 1.46s/it] [2024-06-04 20:07:33] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.0.input_layernorm.weight[0m", shape: (2048,), dtype: float32 1%|β | 2/135 [00:03<03:13, 1.46s/it] [2024-06-04 20:07:33] INFO group_quantization.py:217: Compiling quantize function for key: ((2048, 5632), float32, cuda, axis=1, output_transpose=False) 1%|β | 2/135 [00:03<03:13, 1.46s/it] [2024-06-04 20:07:34] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.0.mlp.down_proj.q_weight[0m", shape: (2048, 704), dtype: uint32 1%|β | 2/135 [00:03<03:13, 1.46s/it] [2024-06-04 20:07:34] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.0.mlp.down_proj.q_scale[0m", shape: (2048, 176), dtype: float32 1%|β | 2/135 [00:03<03:13, 1.46s/it] 3%|β | 4/135 [00:03<01:29, 1.47it/s] [2024-06-04 20:07:34] INFO group_quantization.py:217: Compiling quantize function for key: ((11264, 2048), float32, cuda, axis=1, output_transpose=False) 3%|β | 4/135 [00:03<01:29, 1.47it/s] [2024-06-04 20:07:34] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.0.mlp.gate_up_proj.q_weight[0m", shape: (11264, 256), dtype: uint32 3%|β | 4/135 [00:04<01:29, 1.47it/s] [2024-06-04 20:07:34] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.0.mlp.gate_up_proj.q_scale[0m", shape: (11264, 64), dtype: float32 3%|β | 4/135 [00:04<01:29, 1.47it/s] 4%|β | 5/135 [00:04<01:22, 1.57it/s] [2024-06-04 20:07:34] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.0.post_attention_layernorm.weight[0m", shape: (2048,), dtype: float32 4%|β | 5/135 [00:04<01:22, 1.57it/s] [2024-06-04 20:07:34] INFO group_quantization.py:217: Compiling quantize function for key: ((2560, 2048), float32, cuda, axis=1, output_transpose=False) 4%|β | 5/135 [00:04<01:22, 1.57it/s] [2024-06-04 20:07:34] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.0.self_attn.qkv_proj.q_weight[0m", shape: (2560, 256), dtype: uint32 4%|β | 5/135 [00:04<01:22, 1.57it/s] [2024-06-04 20:07:34] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.0.self_attn.qkv_proj.q_scale[0m", shape: (2560, 64), dtype: float32 4%|β | 5/135 [00:04<01:22, 1.57it/s] 5%|β | 7/135 [00:04<00:56, 2.28it/s] [2024-06-04 20:07:34] INFO group_quantization.py:217: Compiling quantize function for key: ((2048, 2048), float32, cuda, axis=1, output_transpose=False) 5%|β | 7/135 [00:04<00:56, 2.28it/s] [2024-06-04 20:07:35] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.0.self_attn.o_proj.q_weight[0m", shape: (2048, 256), dtype: uint32 5%|β | 7/135 [00:05<00:56, 2.28it/s] [2024-06-04 20:07:35] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.0.self_attn.o_proj.q_scale[0m", shape: (2048, 64), dtype: float32 5%|β | 7/135 [00:05<00:56, 2.28it/s] 6%|β | 8/135 [00:05<00:55, 2.30it/s] [2024-06-04 20:07:35] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.1.input_layernorm.weight[0m", shape: (2048,), dtype: float32 6%|β | 8/135 [00:05<00:55, 2.30it/s] [2024-06-04 20:07:35] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.1.mlp.down_proj.q_weight[0m", shape: (2048, 704), dtype: uint32 6%|β | 8/135 [00:05<00:55, 2.30it/s] [2024-06-04 20:07:35] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.1.mlp.down_proj.q_scale[0m", shape: (2048, 176), dtype: float32 6%|β | 8/135 [00:05<00:55, 2.30it/s] [2024-06-04 20:07:35] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.1.mlp.gate_up_proj.q_weight[0m", shape: (11264, 256), dtype: uint32 6%|β | 8/135 [00:05<00:55, 2.30it/s] [2024-06-04 20:07:35] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.1.mlp.gate_up_proj.q_scale[0m", shape: (11264, 64), dtype: float32 6%|β | 8/135 [00:05<00:55, 2.30it/s] 8%|β | 11/135 [00:05<00:28, 4.32it/s] [2024-06-04 20:07:35] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.1.post_attention_layernorm.weight[0m", shape: (2048,), dtype: float32 8%|β | 11/135 [00:05<00:28, 4.32it/s] [2024-06-04 20:07:35] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.1.self_attn.qkv_proj.q_weight[0m", shape: (2560, 256), dtype: uint32 8%|β | 11/135 [00:05<00:28, 4.32it/s] [2024-06-04 20:07:35] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.1.self_attn.qkv_proj.q_scale[0m", shape: (2560, 64), dtype: float32 8%|β | 11/135 [00:05<00:28, 4.32it/s] [2024-06-04 20:07:35] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.1.self_attn.o_proj.q_weight[0m", shape: (2048, 256), dtype: uint32 8%|β | 11/135 [00:05<00:28, 4.32it/s] [2024-06-04 20:07:35] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.1.self_attn.o_proj.q_scale[0m", shape: (2048, 64), dtype: float32 8%|β | 11/135 [00:05<00:28, 4.32it/s] [2024-06-04 20:07:35] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.10.input_layernorm.weight[0m", shape: (2048,), dtype: float32 8%|β | 11/135 [00:05<00:28, 4.32it/s] [2024-06-04 20:07:35] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.10.mlp.down_proj.q_weight[0m", shape: (2048, 704), dtype: uint32 8%|β | 11/135 [00:05<00:28, 4.32it/s] [2024-06-04 20:07:35] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.10.mlp.down_proj.q_scale[0m", shape: (2048, 176), dtype: float32 8%|β | 11/135 [00:05<00:28, 4.32it/s] [2024-06-04 20:07:35] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.10.mlp.gate_up_proj.q_weight[0m", shape: (11264, 256), dtype: uint32 8%|β | 11/135 [00:05<00:28, 4.32it/s] [2024-06-04 20:07:35] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.10.mlp.gate_up_proj.q_scale[0m", shape: (11264, 64), dtype: float32 8%|β | 11/135 [00:05<00:28, 4.32it/s] 13%|ββ | 17/135 [00:05<00:12, 9.39it/s] [2024-06-04 20:07:35] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.10.post_attention_layernorm.weight[0m", shape: (2048,), dtype: float32 13%|ββ | 17/135 [00:05<00:12, 9.39it/s] [2024-06-04 20:07:35] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.10.self_attn.qkv_proj.q_weight[0m", shape: (2560, 256), dtype: uint32 13%|ββ | 17/135 [00:05<00:12, 9.39it/s] [2024-06-04 20:07:35] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.10.self_attn.qkv_proj.q_scale[0m", shape: (2560, 64), dtype: float32 13%|ββ | 17/135 [00:05<00:12, 9.39it/s] [2024-06-04 20:07:35] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.10.self_attn.o_proj.q_weight[0m", shape: (2048, 256), dtype: uint32 13%|ββ | 17/135 [00:05<00:12, 9.39it/s] [2024-06-04 20:07:35] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.10.self_attn.o_proj.q_scale[0m", shape: (2048, 64), dtype: float32 13%|ββ | 17/135 [00:05<00:12, 9.39it/s] [2024-06-04 20:07:35] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.11.input_layernorm.weight[0m", shape: (2048,), dtype: float32 13%|ββ | 17/135 [00:05<00:12, 9.39it/s] [2024-06-04 20:07:35] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.11.mlp.down_proj.q_weight[0m", shape: (2048, 704), dtype: uint32 13%|ββ | 17/135 [00:05<00:12, 9.39it/s] [2024-06-04 20:07:35] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.11.mlp.down_proj.q_scale[0m", shape: (2048, 176), dtype: float32 13%|ββ | 17/135 [00:05<00:12, 9.39it/s] [2024-06-04 20:07:35] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.11.mlp.gate_up_proj.q_weight[0m", shape: (11264, 256), dtype: uint32 13%|ββ | 17/135 [00:05<00:12, 9.39it/s] [2024-06-04 20:07:35] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.11.mlp.gate_up_proj.q_scale[0m", shape: (11264, 64), dtype: float32 13%|ββ | 17/135 [00:05<00:12, 9.39it/s] 17%|ββ | 23/135 [00:05<00:07, 15.03it/s] [2024-06-04 20:07:35] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.11.post_attention_layernorm.weight[0m", shape: (2048,), dtype: float32 17%|ββ | 23/135 [00:05<00:07, 15.03it/s] [2024-06-04 20:07:35] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.11.self_attn.qkv_proj.q_weight[0m", shape: (2560, 256), dtype: uint32 17%|ββ | 23/135 [00:05<00:07, 15.03it/s] [2024-06-04 20:07:35] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.11.self_attn.qkv_proj.q_scale[0m", shape: (2560, 64), dtype: float32 17%|ββ | 23/135 [00:05<00:07, 15.03it/s] [2024-06-04 20:07:35] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.11.self_attn.o_proj.q_weight[0m", shape: (2048, 256), dtype: uint32 17%|ββ | 23/135 [00:05<00:07, 15.03it/s] [2024-06-04 20:07:35] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.11.self_attn.o_proj.q_scale[0m", shape: (2048, 64), dtype: float32 17%|ββ | 23/135 [00:05<00:07, 15.03it/s] [2024-06-04 20:07:35] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.12.input_layernorm.weight[0m", shape: (2048,), dtype: float32 17%|ββ | 23/135 [00:05<00:07, 15.03it/s] [2024-06-04 20:07:35] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.12.mlp.down_proj.q_weight[0m", shape: (2048, 704), dtype: uint32 17%|ββ | 23/135 [00:05<00:07, 15.03it/s] [2024-06-04 20:07:35] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.12.mlp.down_proj.q_scale[0m", shape: (2048, 176), dtype: float32 17%|ββ | 23/135 [00:05<00:07, 15.03it/s] [2024-06-04 20:07:35] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.12.mlp.gate_up_proj.q_weight[0m", shape: (11264, 256), dtype: uint32 17%|ββ | 23/135 [00:05<00:07, 15.03it/s] [2024-06-04 20:07:35] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.12.mlp.gate_up_proj.q_scale[0m", shape: (11264, 64), dtype: float32 17%|ββ | 23/135 [00:05<00:07, 15.03it/s] 21%|βββ | 29/135 [00:05<00:05, 20.91it/s] [2024-06-04 20:07:35] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.12.post_attention_layernorm.weight[0m", shape: (2048,), dtype: float32 21%|βββ | 29/135 [00:05<00:05, 20.91it/s] [2024-06-04 20:07:35] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.12.self_attn.qkv_proj.q_weight[0m", shape: (2560, 256), dtype: uint32 21%|βββ | 29/135 [00:05<00:05, 20.91it/s] [2024-06-04 20:07:35] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.12.self_attn.qkv_proj.q_scale[0m", shape: (2560, 64), dtype: float32 21%|βββ | 29/135 [00:05<00:05, 20.91it/s] [2024-06-04 20:07:35] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.12.self_attn.o_proj.q_weight[0m", shape: (2048, 256), dtype: uint32 21%|βββ | 29/135 [00:05<00:05, 20.91it/s] [2024-06-04 20:07:35] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.12.self_attn.o_proj.q_scale[0m", shape: (2048, 64), dtype: float32 21%|βββ | 29/135 [00:05<00:05, 20.91it/s] [2024-06-04 20:07:35] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.13.input_layernorm.weight[0m", shape: (2048,), dtype: float32 21%|βββ | 29/135 [00:05<00:05, 20.91it/s] [2024-06-04 20:07:35] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.13.mlp.down_proj.q_weight[0m", shape: (2048, 704), dtype: uint32 21%|βββ | 29/135 [00:05<00:05, 20.91it/s] [2024-06-04 20:07:35] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.13.mlp.down_proj.q_scale[0m", shape: (2048, 176), dtype: float32 21%|βββ | 29/135 [00:05<00:05, 20.91it/s] [2024-06-04 20:07:35] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.13.mlp.gate_up_proj.q_weight[0m", shape: (11264, 256), dtype: uint32 21%|βββ | 29/135 [00:05<00:05, 20.91it/s] [2024-06-04 20:07:36] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.13.mlp.gate_up_proj.q_scale[0m", shape: (11264, 64), dtype: float32 21%|βββ | 29/135 [00:05<00:05, 20.91it/s] 26%|βββ | 35/135 [00:05<00:03, 26.60it/s] [2024-06-04 20:07:36] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.13.post_attention_layernorm.weight[0m", shape: (2048,), dtype: float32 26%|βββ | 35/135 [00:05<00:03, 26.60it/s] [2024-06-04 20:07:36] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.13.self_attn.qkv_proj.q_weight[0m", shape: (2560, 256), dtype: uint32 26%|βββ | 35/135 [00:05<00:03, 26.60it/s] [2024-06-04 20:07:36] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.13.self_attn.qkv_proj.q_scale[0m", shape: (2560, 64), dtype: float32 26%|βββ | 35/135 [00:05<00:03, 26.60it/s] [2024-06-04 20:07:36] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.13.self_attn.o_proj.q_weight[0m", shape: (2048, 256), dtype: uint32 26%|βββ | 35/135 [00:05<00:03, 26.60it/s] [2024-06-04 20:07:36] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.13.self_attn.o_proj.q_scale[0m", shape: (2048, 64), dtype: float32 26%|βββ | 35/135 [00:05<00:03, 26.60it/s] [2024-06-04 20:07:36] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.14.input_layernorm.weight[0m", shape: (2048,), dtype: float32 26%|βββ | 35/135 [00:05<00:03, 26.60it/s] [2024-06-04 20:07:36] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.14.mlp.down_proj.q_weight[0m", shape: (2048, 704), dtype: uint32 26%|βββ | 35/135 [00:05<00:03, 26.60it/s] [2024-06-04 20:07:36] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.14.mlp.down_proj.q_scale[0m", shape: (2048, 176), dtype: float32 26%|βββ | 35/135 [00:05<00:03, 26.60it/s] [2024-06-04 20:07:36] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.14.mlp.gate_up_proj.q_weight[0m", shape: (11264, 256), dtype: uint32 26%|βββ | 35/135 [00:05<00:03, 26.60it/s] [2024-06-04 20:07:36] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.14.mlp.gate_up_proj.q_scale[0m", shape: (11264, 64), dtype: float32 26%|βββ | 35/135 [00:06<00:03, 26.60it/s] 30%|βββ | 41/135 [00:06<00:02, 31.80it/s] [2024-06-04 20:07:36] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.14.post_attention_layernorm.weight[0m", shape: (2048,), dtype: float32 30%|βββ | 41/135 [00:06<00:02, 31.80it/s] [2024-06-04 20:07:36] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.14.self_attn.qkv_proj.q_weight[0m", shape: (2560, 256), dtype: uint32 30%|βββ | 41/135 [00:06<00:02, 31.80it/s] [2024-06-04 20:07:36] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.14.self_attn.qkv_proj.q_scale[0m", shape: (2560, 64), dtype: float32 30%|βββ | 41/135 [00:06<00:02, 31.80it/s] [2024-06-04 20:07:36] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.14.self_attn.o_proj.q_weight[0m", shape: (2048, 256), dtype: uint32 30%|βββ | 41/135 [00:06<00:02, 31.80it/s] [2024-06-04 20:07:36] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.14.self_attn.o_proj.q_scale[0m", shape: (2048, 64), dtype: float32 30%|βββ | 41/135 [00:06<00:02, 31.80it/s] [2024-06-04 20:07:36] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.15.input_layernorm.weight[0m", shape: (2048,), dtype: float32 30%|βββ | 41/135 [00:06<00:02, 31.80it/s] [2024-06-04 20:07:36] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.15.mlp.down_proj.q_weight[0m", shape: (2048, 704), dtype: uint32 30%|βββ | 41/135 [00:06<00:02, 31.80it/s] [2024-06-04 20:07:36] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.15.mlp.down_proj.q_scale[0m", shape: (2048, 176), dtype: float32 30%|βββ | 41/135 [00:06<00:02, 31.80it/s] [2024-06-04 20:07:36] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.15.mlp.gate_up_proj.q_weight[0m", shape: (11264, 256), dtype: uint32 30%|βββ | 41/135 [00:06<00:02, 31.80it/s] [2024-06-04 20:07:36] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.15.mlp.gate_up_proj.q_scale[0m", shape: (11264, 64), dtype: float32 30%|βββ | 41/135 [00:06<00:02, 31.80it/s] 35%|ββββ | 47/135 [00:06<00:02, 36.29it/s] [2024-06-04 20:07:36] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.15.post_attention_layernorm.weight[0m", shape: (2048,), dtype: float32 35%|ββββ | 47/135 [00:06<00:02, 36.29it/s] [2024-06-04 20:07:36] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.15.self_attn.qkv_proj.q_weight[0m", shape: (2560, 256), dtype: uint32 35%|ββββ | 47/135 [00:06<00:02, 36.29it/s] [2024-06-04 20:07:36] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.15.self_attn.qkv_proj.q_scale[0m", shape: (2560, 64), dtype: float32 35%|ββββ | 47/135 [00:06<00:02, 36.29it/s] [2024-06-04 20:07:36] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.15.self_attn.o_proj.q_weight[0m", shape: (2048, 256), dtype: uint32 35%|ββββ | 47/135 [00:06<00:02, 36.29it/s] [2024-06-04 20:07:36] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.15.self_attn.o_proj.q_scale[0m", shape: (2048, 64), dtype: float32 35%|ββββ | 47/135 [00:06<00:02, 36.29it/s] [2024-06-04 20:07:36] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.16.input_layernorm.weight[0m", shape: (2048,), dtype: float32 35%|ββββ | 47/135 [00:06<00:02, 36.29it/s] [2024-06-04 20:07:36] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.16.mlp.down_proj.q_weight[0m", shape: (2048, 704), dtype: uint32 35%|ββββ | 47/135 [00:06<00:02, 36.29it/s] [2024-06-04 20:07:36] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.16.mlp.down_proj.q_scale[0m", shape: (2048, 176), dtype: float32 35%|ββββ | 47/135 [00:06<00:02, 36.29it/s] [2024-06-04 20:07:36] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.16.mlp.gate_up_proj.q_weight[0m", shape: (11264, 256), dtype: uint32 35%|ββββ | 47/135 [00:06<00:02, 36.29it/s] [2024-06-04 20:07:36] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.16.mlp.gate_up_proj.q_scale[0m", shape: (11264, 64), dtype: float32 35%|ββββ | 47/135 [00:06<00:02, 36.29it/s] 39%|ββββ | 53/135 [00:06<00:02, 40.11it/s] [2024-06-04 20:07:36] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.16.post_attention_layernorm.weight[0m", shape: (2048,), dtype: float32 39%|ββββ | 53/135 [00:06<00:02, 40.11it/s] [2024-06-04 20:07:36] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.16.self_attn.qkv_proj.q_weight[0m", shape: (2560, 256), dtype: uint32 39%|ββββ | 53/135 [00:06<00:02, 40.11it/s] [2024-06-04 20:07:36] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.16.self_attn.qkv_proj.q_scale[0m", shape: (2560, 64), dtype: float32 39%|ββββ | 53/135 [00:06<00:02, 40.11it/s] [2024-06-04 20:07:36] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.16.self_attn.o_proj.q_weight[0m", shape: (2048, 256), dtype: uint32 39%|ββββ | 53/135 [00:06<00:02, 40.11it/s] [2024-06-04 20:07:36] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.16.self_attn.o_proj.q_scale[0m", shape: (2048, 64), dtype: float32 39%|ββββ | 53/135 [00:06<00:02, 40.11it/s] [2024-06-04 20:07:36] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.17.input_layernorm.weight[0m", shape: (2048,), dtype: float32 39%|ββββ | 53/135 [00:06<00:02, 40.11it/s] [2024-06-04 20:07:36] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.17.mlp.down_proj.q_weight[0m", shape: (2048, 704), dtype: uint32 39%|ββββ | 53/135 [00:06<00:02, 40.11it/s] [2024-06-04 20:07:36] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.17.mlp.down_proj.q_scale[0m", shape: (2048, 176), dtype: float32 39%|ββββ | 53/135 [00:06<00:02, 40.11it/s] [2024-06-04 20:07:36] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.17.mlp.gate_up_proj.q_weight[0m", shape: (11264, 256), dtype: uint32 39%|ββββ | 53/135 [00:06<00:02, 40.11it/s] [2024-06-04 20:07:36] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.17.mlp.gate_up_proj.q_scale[0m", shape: (11264, 64), dtype: float32 39%|ββββ | 53/135 [00:06<00:02, 40.11it/s] 44%|βββββ | 59/135 [00:06<00:01, 42.90it/s] [2024-06-04 20:07:36] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.17.post_attention_layernorm.weight[0m", shape: (2048,), dtype: float32 44%|βββββ | 59/135 [00:06<00:01, 42.90it/s] [2024-06-04 20:07:36] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.17.self_attn.qkv_proj.q_weight[0m", shape: (2560, 256), dtype: uint32 44%|βββββ | 59/135 [00:06<00:01, 42.90it/s] [2024-06-04 20:07:36] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.17.self_attn.qkv_proj.q_scale[0m", shape: (2560, 64), dtype: float32 44%|βββββ | 59/135 [00:06<00:01, 42.90it/s] [2024-06-04 20:07:36] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.17.self_attn.o_proj.q_weight[0m", shape: (2048, 256), dtype: uint32 44%|βββββ | 59/135 [00:06<00:01, 42.90it/s] [2024-06-04 20:07:36] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.17.self_attn.o_proj.q_scale[0m", shape: (2048, 64), dtype: float32 44%|βββββ | 59/135 [00:06<00:01, 42.90it/s] [2024-06-04 20:07:36] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.18.input_layernorm.weight[0m", shape: (2048,), dtype: float32 44%|βββββ | 59/135 [00:06<00:01, 42.90it/s] [2024-06-04 20:07:36] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.18.mlp.down_proj.q_weight[0m", shape: (2048, 704), dtype: uint32 44%|βββββ | 59/135 [00:06<00:01, 42.90it/s] [2024-06-04 20:07:36] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.18.mlp.down_proj.q_scale[0m", shape: (2048, 176), dtype: float32 44%|βββββ | 59/135 [00:06<00:01, 42.90it/s] [2024-06-04 20:07:36] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.18.mlp.gate_up_proj.q_weight[0m", shape: (11264, 256), dtype: uint32 44%|βββββ | 59/135 [00:06<00:01, 42.90it/s] [2024-06-04 20:07:36] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.18.mlp.gate_up_proj.q_scale[0m", shape: (11264, 64), dtype: float32 44%|βββββ | 59/135 [00:06<00:01, 42.90it/s] 48%|βββββ | 65/135 [00:06<00:01, 45.23it/s] [2024-06-04 20:07:36] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.18.post_attention_layernorm.weight[0m", shape: (2048,), dtype: float32 48%|βββββ | 65/135 [00:06<00:01, 45.23it/s] [2024-06-04 20:07:36] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.18.self_attn.qkv_proj.q_weight[0m", shape: (2560, 256), dtype: uint32 48%|βββββ | 65/135 [00:06<00:01, 45.23it/s] [2024-06-04 20:07:36] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.18.self_attn.qkv_proj.q_scale[0m", shape: (2560, 64), dtype: float32 48%|βββββ | 65/135 [00:06<00:01, 45.23it/s] [2024-06-04 20:07:36] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.18.self_attn.o_proj.q_weight[0m", shape: (2048, 256), dtype: uint32 48%|βββββ | 65/135 [00:06<00:01, 45.23it/s] [2024-06-04 20:07:36] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.18.self_attn.o_proj.q_scale[0m", shape: (2048, 64), dtype: float32 48%|βββββ | 65/135 [00:06<00:01, 45.23it/s] [2024-06-04 20:07:36] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.19.input_layernorm.weight[0m", shape: (2048,), dtype: float32 48%|βββββ | 65/135 [00:06<00:01, 45.23it/s] [2024-06-04 20:07:36] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.19.mlp.down_proj.q_weight[0m", shape: (2048, 704), dtype: uint32 48%|βββββ | 65/135 [00:06<00:01, 45.23it/s] [2024-06-04 20:07:36] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.19.mlp.down_proj.q_scale[0m", shape: (2048, 176), dtype: float32 48%|βββββ | 65/135 [00:06<00:01, 45.23it/s] [2024-06-04 20:07:36] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.19.mlp.gate_up_proj.q_weight[0m", shape: (11264, 256), dtype: uint32 48%|βββββ | 65/135 [00:06<00:01, 45.23it/s] [2024-06-04 20:07:36] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.19.mlp.gate_up_proj.q_scale[0m", shape: (11264, 64), dtype: float32 48%|βββββ | 65/135 [00:06<00:01, 45.23it/s] 53%|ββββββ | 71/135 [00:06<00:01, 46.99it/s] [2024-06-04 20:07:36] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.19.post_attention_layernorm.weight[0m", shape: (2048,), dtype: float32 53%|ββββββ | 71/135 [00:06<00:01, 46.99it/s] [2024-06-04 20:07:36] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.19.self_attn.qkv_proj.q_weight[0m", shape: (2560, 256), dtype: uint32 53%|ββββββ | 71/135 [00:06<00:01, 46.99it/s] [2024-06-04 20:07:36] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.19.self_attn.qkv_proj.q_scale[0m", shape: (2560, 64), dtype: float32 53%|ββββββ | 71/135 [00:06<00:01, 46.99it/s] [2024-06-04 20:07:36] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.19.self_attn.o_proj.q_weight[0m", shape: (2048, 256), dtype: uint32 53%|ββββββ | 71/135 [00:06<00:01, 46.99it/s] [2024-06-04 20:07:36] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.19.self_attn.o_proj.q_scale[0m", shape: (2048, 64), dtype: float32 53%|ββββββ | 71/135 [00:06<00:01, 46.99it/s] [2024-06-04 20:07:36] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.2.input_layernorm.weight[0m", shape: (2048,), dtype: float32 53%|ββββββ | 71/135 [00:06<00:01, 46.99it/s] [2024-06-04 20:07:36] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.2.mlp.down_proj.q_weight[0m", shape: (2048, 704), dtype: uint32 53%|ββββββ | 71/135 [00:06<00:01, 46.99it/s] [2024-06-04 20:07:36] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.2.mlp.down_proj.q_scale[0m", shape: (2048, 176), dtype: float32 53%|ββββββ | 71/135 [00:06<00:01, 46.99it/s] [2024-06-04 20:07:36] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.2.mlp.gate_up_proj.q_weight[0m", shape: (11264, 256), dtype: uint32 53%|ββββββ | 71/135 [00:06<00:01, 46.99it/s] [2024-06-04 20:07:36] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.2.mlp.gate_up_proj.q_scale[0m", shape: (11264, 64), dtype: float32 53%|ββββββ | 71/135 [00:06<00:01, 46.99it/s] 57%|ββββββ | 77/135 [00:06<00:01, 48.15it/s] [2024-06-04 20:07:36] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.2.post_attention_layernorm.weight[0m", shape: (2048,), dtype: float32 57%|ββββββ | 77/135 [00:06<00:01, 48.15it/s] [2024-06-04 20:07:36] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.2.self_attn.qkv_proj.q_weight[0m", shape: (2560, 256), dtype: uint32 57%|ββββββ | 77/135 [00:06<00:01, 48.15it/s] [2024-06-04 20:07:36] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.2.self_attn.qkv_proj.q_scale[0m", shape: (2560, 64), dtype: float32 57%|ββββββ | 77/135 [00:06<00:01, 48.15it/s] [2024-06-04 20:07:36] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.2.self_attn.o_proj.q_weight[0m", shape: (2048, 256), dtype: uint32 57%|ββββββ | 77/135 [00:06<00:01, 48.15it/s] [2024-06-04 20:07:36] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.2.self_attn.o_proj.q_scale[0m", shape: (2048, 64), dtype: float32 57%|ββββββ | 77/135 [00:06<00:01, 48.15it/s] [2024-06-04 20:07:36] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.20.input_layernorm.weight[0m", shape: (2048,), dtype: float32 57%|ββββββ | 77/135 [00:06<00:01, 48.15it/s] [2024-06-04 20:07:36] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.20.mlp.down_proj.q_weight[0m", shape: (2048, 704), dtype: uint32 57%|ββββββ | 77/135 [00:06<00:01, 48.15it/s] [2024-06-04 20:07:36] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.20.mlp.down_proj.q_scale[0m", shape: (2048, 176), dtype: float32 57%|ββββββ | 77/135 [00:06<00:01, 48.15it/s] [2024-06-04 20:07:36] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.20.mlp.gate_up_proj.q_weight[0m", shape: (11264, 256), dtype: uint32 57%|ββββββ | 77/135 [00:06<00:01, 48.15it/s] [2024-06-04 20:07:36] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.20.mlp.gate_up_proj.q_scale[0m", shape: (11264, 64), dtype: float32 57%|ββββββ | 77/135 [00:06<00:01, 48.15it/s] 61%|βββββββ | 83/135 [00:06<00:01, 48.95it/s] [2024-06-04 20:07:36] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.20.post_attention_layernorm.weight[0m", shape: (2048,), dtype: float32 61%|βββββββ | 83/135 [00:06<00:01, 48.95it/s] [2024-06-04 20:07:36] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.20.self_attn.qkv_proj.q_weight[0m", shape: (2560, 256), dtype: uint32 61%|βββββββ | 83/135 [00:06<00:01, 48.95it/s] [2024-06-04 20:07:36] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.20.self_attn.qkv_proj.q_scale[0m", shape: (2560, 64), dtype: float32 61%|βββββββ | 83/135 [00:06<00:01, 48.95it/s] [2024-06-04 20:07:36] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.20.self_attn.o_proj.q_weight[0m", shape: (2048, 256), dtype: uint32 61%|βββββββ | 83/135 [00:06<00:01, 48.95it/s] [2024-06-04 20:07:36] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.20.self_attn.o_proj.q_scale[0m", shape: (2048, 64), dtype: float32 61%|βββββββ | 83/135 [00:06<00:01, 48.95it/s] [2024-06-04 20:07:36] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.21.input_layernorm.weight[0m", shape: (2048,), dtype: float32 61%|βββββββ | 83/135 [00:06<00:01, 48.95it/s] [2024-06-04 20:07:36] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.21.mlp.down_proj.q_weight[0m", shape: (2048, 704), dtype: uint32 61%|βββββββ | 83/135 [00:06<00:01, 48.95it/s] [2024-06-04 20:07:36] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.21.mlp.down_proj.q_scale[0m", shape: (2048, 176), dtype: float32 61%|βββββββ | 83/135 [00:06<00:01, 48.95it/s] [2024-06-04 20:07:37] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.21.mlp.gate_up_proj.q_weight[0m", shape: (11264, 256), dtype: uint32 61%|βββββββ | 83/135 [00:06<00:01, 48.95it/s] [2024-06-04 20:07:37] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.21.mlp.gate_up_proj.q_scale[0m", shape: (11264, 64), dtype: float32 61%|βββββββ | 83/135 [00:06<00:01, 48.95it/s] 66%|βββββββ | 89/135 [00:06<00:00, 49.41it/s] [2024-06-04 20:07:37] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.21.post_attention_layernorm.weight[0m", shape: (2048,), dtype: float32 66%|βββββββ | 89/135 [00:06<00:00, 49.41it/s] [2024-06-04 20:07:37] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.21.self_attn.qkv_proj.q_weight[0m", shape: (2560, 256), dtype: uint32 66%|βββββββ | 89/135 [00:06<00:00, 49.41it/s] [2024-06-04 20:07:37] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.21.self_attn.qkv_proj.q_scale[0m", shape: (2560, 64), dtype: float32 66%|βββββββ | 89/135 [00:06<00:00, 49.41it/s] [2024-06-04 20:07:37] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.21.self_attn.o_proj.q_weight[0m", shape: (2048, 256), dtype: uint32 66%|βββββββ | 89/135 [00:06<00:00, 49.41it/s] [2024-06-04 20:07:37] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.21.self_attn.o_proj.q_scale[0m", shape: (2048, 64), dtype: float32 66%|βββββββ | 89/135 [00:06<00:00, 49.41it/s] [2024-06-04 20:07:37] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.3.input_layernorm.weight[0m", shape: (2048,), dtype: float32 66%|βββββββ | 89/135 [00:06<00:00, 49.41it/s] [2024-06-04 20:07:37] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.3.mlp.down_proj.q_weight[0m", shape: (2048, 704), dtype: uint32 66%|βββββββ | 89/135 [00:06<00:00, 49.41it/s] [2024-06-04 20:07:37] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.3.mlp.down_proj.q_scale[0m", shape: (2048, 176), dtype: float32 66%|βββββββ | 89/135 [00:06<00:00, 49.41it/s] [2024-06-04 20:07:37] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.3.mlp.gate_up_proj.q_weight[0m", shape: (11264, 256), dtype: uint32 66%|βββββββ | 89/135 [00:07<00:00, 49.41it/s] [2024-06-04 20:07:37] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.3.mlp.gate_up_proj.q_scale[0m", shape: (11264, 64), dtype: float32 66%|βββββββ | 89/135 [00:07<00:00, 49.41it/s] 70%|βββββββ | 95/135 [00:07<00:00, 49.77it/s] [2024-06-04 20:07:37] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.3.post_attention_layernorm.weight[0m", shape: (2048,), dtype: float32 70%|βββββββ | 95/135 [00:07<00:00, 49.77it/s] [2024-06-04 20:07:37] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.3.self_attn.qkv_proj.q_weight[0m", shape: (2560, 256), dtype: uint32 70%|βββββββ | 95/135 [00:07<00:00, 49.77it/s] [2024-06-04 20:07:37] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.3.self_attn.qkv_proj.q_scale[0m", shape: (2560, 64), dtype: float32 70%|βββββββ | 95/135 [00:07<00:00, 49.77it/s] [2024-06-04 20:07:37] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.3.self_attn.o_proj.q_weight[0m", shape: (2048, 256), dtype: uint32 70%|βββββββ | 95/135 [00:07<00:00, 49.77it/s] [2024-06-04 20:07:37] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.3.self_attn.o_proj.q_scale[0m", shape: (2048, 64), dtype: float32 70%|βββββββ | 95/135 [00:07<00:00, 49.77it/s] [2024-06-04 20:07:37] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.4.input_layernorm.weight[0m", shape: (2048,), dtype: float32 70%|βββββββ | 95/135 [00:07<00:00, 49.77it/s] [2024-06-04 20:07:37] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.4.mlp.down_proj.q_weight[0m", shape: (2048, 704), dtype: uint32 70%|βββββββ | 95/135 [00:07<00:00, 49.77it/s] [2024-06-04 20:07:37] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.4.mlp.down_proj.q_scale[0m", shape: (2048, 176), dtype: float32 70%|βββββββ | 95/135 [00:07<00:00, 49.77it/s] [2024-06-04 20:07:37] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.4.mlp.gate_up_proj.q_weight[0m", shape: (11264, 256), dtype: uint32 70%|βββββββ | 95/135 [00:07<00:00, 49.77it/s] [2024-06-04 20:07:37] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.4.mlp.gate_up_proj.q_scale[0m", shape: (11264, 64), dtype: float32 70%|βββββββ | 95/135 [00:07<00:00, 49.77it/s] 75%|ββββββββ | 101/135 [00:07<00:00, 50.25it/s] [2024-06-04 20:07:37] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.4.post_attention_layernorm.weight[0m", shape: (2048,), dtype: float32 75%|ββββββββ | 101/135 [00:07<00:00, 50.25it/s] [2024-06-04 20:07:37] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.4.self_attn.qkv_proj.q_weight[0m", shape: (2560, 256), dtype: uint32 75%|ββββββββ | 101/135 [00:07<00:00, 50.25it/s] [2024-06-04 20:07:37] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.4.self_attn.qkv_proj.q_scale[0m", shape: (2560, 64), dtype: float32 75%|ββββββββ | 101/135 [00:07<00:00, 50.25it/s] [2024-06-04 20:07:37] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.4.self_attn.o_proj.q_weight[0m", shape: (2048, 256), dtype: uint32 75%|ββββββββ | 101/135 [00:07<00:00, 50.25it/s] [2024-06-04 20:07:37] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.4.self_attn.o_proj.q_scale[0m", shape: (2048, 64), dtype: float32 75%|ββββββββ | 101/135 [00:07<00:00, 50.25it/s] [2024-06-04 20:07:37] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.5.input_layernorm.weight[0m", shape: (2048,), dtype: float32 75%|ββββββββ | 101/135 [00:07<00:00, 50.25it/s] [2024-06-04 20:07:37] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.5.mlp.down_proj.q_weight[0m", shape: (2048, 704), dtype: uint32 75%|ββββββββ | 101/135 [00:07<00:00, 50.25it/s] [2024-06-04 20:07:37] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.5.mlp.down_proj.q_scale[0m", shape: (2048, 176), dtype: float32 75%|ββββββββ | 101/135 [00:07<00:00, 50.25it/s] [2024-06-04 20:07:37] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.5.mlp.gate_up_proj.q_weight[0m", shape: (11264, 256), dtype: uint32 75%|ββββββββ | 101/135 [00:07<00:00, 50.25it/s] [2024-06-04 20:07:37] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.5.mlp.gate_up_proj.q_scale[0m", shape: (11264, 64), dtype: float32 75%|ββββββββ | 101/135 [00:07<00:00, 50.25it/s] 79%|ββββββββ | 107/135 [00:07<00:00, 50.64it/s] [2024-06-04 20:07:37] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.5.post_attention_layernorm.weight[0m", shape: (2048,), dtype: float32 79%|ββββββββ | 107/135 [00:07<00:00, 50.64it/s] [2024-06-04 20:07:37] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.5.self_attn.qkv_proj.q_weight[0m", shape: (2560, 256), dtype: uint32 79%|ββββββββ | 107/135 [00:07<00:00, 50.64it/s] [2024-06-04 20:07:37] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.5.self_attn.qkv_proj.q_scale[0m", shape: (2560, 64), dtype: float32 79%|ββββββββ | 107/135 [00:07<00:00, 50.64it/s] [2024-06-04 20:07:37] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.5.self_attn.o_proj.q_weight[0m", shape: (2048, 256), dtype: uint32 79%|ββββββββ | 107/135 [00:07<00:00, 50.64it/s] [2024-06-04 20:07:37] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.5.self_attn.o_proj.q_scale[0m", shape: (2048, 64), dtype: float32 79%|ββββββββ | 107/135 [00:07<00:00, 50.64it/s] [2024-06-04 20:07:37] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.6.input_layernorm.weight[0m", shape: (2048,), dtype: float32 79%|ββββββββ | 107/135 [00:07<00:00, 50.64it/s] [2024-06-04 20:07:37] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.6.mlp.down_proj.q_weight[0m", shape: (2048, 704), dtype: uint32 79%|ββββββββ | 107/135 [00:07<00:00, 50.64it/s] [2024-06-04 20:07:37] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.6.mlp.down_proj.q_scale[0m", shape: (2048, 176), dtype: float32 79%|ββββββββ | 107/135 [00:07<00:00, 50.64it/s] [2024-06-04 20:07:37] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.6.mlp.gate_up_proj.q_weight[0m", shape: (11264, 256), dtype: uint32 79%|ββββββββ | 107/135 [00:07<00:00, 50.64it/s] [2024-06-04 20:07:37] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.6.mlp.gate_up_proj.q_scale[0m", shape: (11264, 64), dtype: float32 79%|ββββββββ | 107/135 [00:07<00:00, 50.64it/s] 84%|βββββββββ | 113/135 [00:07<00:00, 50.97it/s] [2024-06-04 20:07:37] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.6.post_attention_layernorm.weight[0m", shape: (2048,), dtype: float32 84%|βββββββββ | 113/135 [00:07<00:00, 50.97it/s] [2024-06-04 20:07:37] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.6.self_attn.qkv_proj.q_weight[0m", shape: (2560, 256), dtype: uint32 84%|βββββββββ | 113/135 [00:07<00:00, 50.97it/s] [2024-06-04 20:07:37] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.6.self_attn.qkv_proj.q_scale[0m", shape: (2560, 64), dtype: float32 84%|βββββββββ | 113/135 [00:07<00:00, 50.97it/s] [2024-06-04 20:07:37] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.6.self_attn.o_proj.q_weight[0m", shape: (2048, 256), dtype: uint32 84%|βββββββββ | 113/135 [00:07<00:00, 50.97it/s] [2024-06-04 20:07:37] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.6.self_attn.o_proj.q_scale[0m", shape: (2048, 64), dtype: float32 84%|βββββββββ | 113/135 [00:07<00:00, 50.97it/s] [2024-06-04 20:07:37] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.7.input_layernorm.weight[0m", shape: (2048,), dtype: float32 84%|βββββββββ | 113/135 [00:07<00:00, 50.97it/s] [2024-06-04 20:07:37] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.7.mlp.down_proj.q_weight[0m", shape: (2048, 704), dtype: uint32 84%|βββββββββ | 113/135 [00:07<00:00, 50.97it/s] [2024-06-04 20:07:37] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.7.mlp.down_proj.q_scale[0m", shape: (2048, 176), dtype: float32 84%|βββββββββ | 113/135 [00:07<00:00, 50.97it/s] [2024-06-04 20:07:37] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.7.mlp.gate_up_proj.q_weight[0m", shape: (11264, 256), dtype: uint32 84%|βββββββββ | 113/135 [00:07<00:00, 50.97it/s] [2024-06-04 20:07:37] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.7.mlp.gate_up_proj.q_scale[0m", shape: (11264, 64), dtype: float32 84%|βββββββββ | 113/135 [00:07<00:00, 50.97it/s] 88%|βββββββββ | 119/135 [00:07<00:00, 51.27it/s] [2024-06-04 20:07:37] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.7.post_attention_layernorm.weight[0m", shape: (2048,), dtype: float32 88%|βββββββββ | 119/135 [00:07<00:00, 51.27it/s] [2024-06-04 20:07:37] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.7.self_attn.qkv_proj.q_weight[0m", shape: (2560, 256), dtype: uint32 88%|βββββββββ | 119/135 [00:07<00:00, 51.27it/s] [2024-06-04 20:07:37] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.7.self_attn.qkv_proj.q_scale[0m", shape: (2560, 64), dtype: float32 88%|βββββββββ | 119/135 [00:07<00:00, 51.27it/s] [2024-06-04 20:07:37] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.7.self_attn.o_proj.q_weight[0m", shape: (2048, 256), dtype: uint32 88%|βββββββββ | 119/135 [00:07<00:00, 51.27it/s] [2024-06-04 20:07:37] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.7.self_attn.o_proj.q_scale[0m", shape: (2048, 64), dtype: float32 88%|βββββββββ | 119/135 [00:07<00:00, 51.27it/s] [2024-06-04 20:07:37] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.8.input_layernorm.weight[0m", shape: (2048,), dtype: float32 88%|βββββββββ | 119/135 [00:07<00:00, 51.27it/s] [2024-06-04 20:07:37] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.8.mlp.down_proj.q_weight[0m", shape: (2048, 704), dtype: uint32 88%|βββββββββ | 119/135 [00:07<00:00, 51.27it/s] [2024-06-04 20:07:37] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.8.mlp.down_proj.q_scale[0m", shape: (2048, 176), dtype: float32 88%|βββββββββ | 119/135 [00:07<00:00, 51.27it/s] [2024-06-04 20:07:37] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.8.mlp.gate_up_proj.q_weight[0m", shape: (11264, 256), dtype: uint32 88%|βββββββββ | 119/135 [00:07<00:00, 51.27it/s] [2024-06-04 20:07:37] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.8.mlp.gate_up_proj.q_scale[0m", shape: (11264, 64), dtype: float32 88%|βββββββββ | 119/135 [00:07<00:00, 51.27it/s] 93%|ββββββββββ| 125/135 [00:07<00:00, 50.68it/s] [2024-06-04 20:07:37] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.8.post_attention_layernorm.weight[0m", shape: (2048,), dtype: float32 93%|ββββββββββ| 125/135 [00:07<00:00, 50.68it/s] [2024-06-04 20:07:37] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.8.self_attn.qkv_proj.q_weight[0m", shape: (2560, 256), dtype: uint32 93%|ββββββββββ| 125/135 [00:07<00:00, 50.68it/s] [2024-06-04 20:07:37] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.8.self_attn.qkv_proj.q_scale[0m", shape: (2560, 64), dtype: float32 93%|ββββββββββ| 125/135 [00:07<00:00, 50.68it/s] [2024-06-04 20:07:37] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.8.self_attn.o_proj.q_weight[0m", shape: (2048, 256), dtype: uint32 93%|ββββββββββ| 125/135 [00:07<00:00, 50.68it/s] [2024-06-04 20:07:37] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.8.self_attn.o_proj.q_scale[0m", shape: (2048, 64), dtype: float32 93%|ββββββββββ| 125/135 [00:07<00:00, 50.68it/s] [2024-06-04 20:07:37] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.9.input_layernorm.weight[0m", shape: (2048,), dtype: float32 93%|ββββββββββ| 125/135 [00:07<00:00, 50.68it/s] [2024-06-04 20:07:37] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.9.mlp.down_proj.q_weight[0m", shape: (2048, 704), dtype: uint32 93%|ββββββββββ| 125/135 [00:07<00:00, 50.68it/s] [2024-06-04 20:07:37] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.9.mlp.down_proj.q_scale[0m", shape: (2048, 176), dtype: float32 93%|ββββββββββ| 125/135 [00:07<00:00, 50.68it/s] [2024-06-04 20:07:37] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.9.mlp.gate_up_proj.q_weight[0m", shape: (11264, 256), dtype: uint32 93%|ββββββββββ| 125/135 [00:07<00:00, 50.68it/s] [2024-06-04 20:07:37] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.9.mlp.gate_up_proj.q_scale[0m", shape: (11264, 64), dtype: float32 93%|ββββββββββ| 125/135 [00:07<00:00, 50.68it/s] 97%|ββββββββββ| 131/135 [00:07<00:00, 50.69it/s] [2024-06-04 20:07:37] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.9.post_attention_layernorm.weight[0m", shape: (2048,), dtype: float32 97%|ββββββββββ| 131/135 [00:07<00:00, 50.69it/s] [2024-06-04 20:07:37] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.9.self_attn.qkv_proj.q_weight[0m", shape: (2560, 256), dtype: uint32 97%|ββββββββββ| 131/135 [00:07<00:00, 50.69it/s] [2024-06-04 20:07:37] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.9.self_attn.qkv_proj.q_scale[0m", shape: (2560, 64), dtype: float32 97%|ββββββββββ| 131/135 [00:07<00:00, 50.69it/s] [2024-06-04 20:07:37] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.9.self_attn.o_proj.q_weight[0m", shape: (2048, 256), dtype: uint32 97%|ββββββββββ| 131/135 [00:07<00:00, 50.69it/s] [2024-06-04 20:07:37] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.9.self_attn.o_proj.q_scale[0m", shape: (2048, 64), dtype: float32 97%|ββββββββββ| 131/135 [00:07<00:00, 50.69it/s] [2024-06-04 20:07:37] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.norm.weight[0m", shape: (2048,), dtype: float32 97%|ββββββββββ| 131/135 [00:07<00:00, 50.69it/s] 100%|ββββββββββ| 135/135 [00:07<00:00, 17.29it/s] [2024-06-04 20:07:37] INFO huggingface_loader.py:197: Unloading HF weight file: /models/TinyLlama-1.1B-Chat-v1.0/model.safetensors [2024-06-04 20:07:38] INFO stats.py:77: [92mTime usage[0m: HF loading: 2.395 sec; Pre-quantization mapping: 0.820 sec; Quantization: 2.709 sec [2024-06-04 20:07:38] INFO stats.py:91: [92mRAM usage[0m: Peak RAM: 4.098 GB. Total bytes loaded from disk: 4.098 GB [2024-06-04 20:07:38] INFO convert_weight.py:155: [92mParameter size[0m after quantization: 0.641 GB [2024-06-04 20:07:38] INFO convert_weight.py:160: [92mTotal parameters[0m: 1,100,048,384 [2024-06-04 20:07:38] INFO convert_weight.py:161: [92mBits per parameter[0m: 5.002 [2024-06-04 20:07:38] INFO convert_weight.py:166: Saved to directory: [1m/models/mlc-delivery/hf/mlc-ai/TinyLlama-1.1B-Chat-v1.0-q4f32_1-MLC[0m All finished, 24 total shards committed, record saved to /models/mlc-delivery/hf/mlc-ai/TinyLlama-1.1B-Chat-v1.0-q4f32_1-MLC/ndarray-cache.json Also saved a bf16 record to /models/mlc-delivery/hf/mlc-ai/TinyLlama-1.1B-Chat-v1.0-q4f32_1-MLC/ndarray-cache-b16.json |