| /Users/cfruan/miniconda3/envs/mlc-chat-venv/bin/python -m mlc_chat gen_config /var/folders/50/mzqbqxqj5fddcby2mg3h334c0000gp/T/tmpoi4p39pd/repo --quantization q4f16_1 --conv-template codellama_instruct --output /var/folders/50/mzqbqxqj5fddcby2mg3h334c0000gp/T/tmphvh7e60y --context-window-size 16384 |
| [2024-01-30 00:51:30] INFO auto_config.py:115: [92mFound[0m model configuration: /var/folders/50/mzqbqxqj5fddcby2mg3h334c0000gp/T/tmpoi4p39pd/repo/config.json |
| [2024-01-30 00:51:30] INFO auto_config.py:153: [92mFound[0m model type: [1mllama[0m. Use `--model-type` to override. |
| [2024-01-30 00:51:30] INFO llama_model.py:51: [1mcontext_window_size[0m not found in config.json. Falling back to [1mmax_position_embeddings[0m (16384) |
| [2024-01-30 00:51:30] INFO llama_model.py:71: [1mprefill_chunk_size[0m defaults to [1mcontext_window_size[0m (16384) |
| [2024-01-30 00:51:30] INFO config.py:106: Overriding [1mcontext_window_size[0m from 16384 to 16384 |
| [2024-01-30 00:51:30] INFO config.py:106: Overriding [1mmax_batch_size[0m from 1 to 80 |
| [2024-01-30 00:51:30] INFO gen_config.py:116: [generation_config.json] Setting [1mbos_token_id[0m: 1 |
| [2024-01-30 00:51:30] INFO gen_config.py:116: [generation_config.json] Setting [1meos_token_id[0m: 2 |
| [2024-01-30 00:51:30] INFO gen_config.py:128: [92mFound[0m tokenizer config: /var/folders/50/mzqbqxqj5fddcby2mg3h334c0000gp/T/tmpoi4p39pd/repo/tokenizer.model. Copying to [1m/var/folders/50/mzqbqxqj5fddcby2mg3h334c0000gp/T/tmphvh7e60y/tokenizer.model[0m |
| [2024-01-30 00:51:30] INFO gen_config.py:128: [92mFound[0m tokenizer config: /var/folders/50/mzqbqxqj5fddcby2mg3h334c0000gp/T/tmpoi4p39pd/repo/tokenizer.json. Copying to [1m/var/folders/50/mzqbqxqj5fddcby2mg3h334c0000gp/T/tmphvh7e60y/tokenizer.json[0m |
| [2024-01-30 00:51:30] INFO gen_config.py:130: [91mNot found[0m tokenizer config: /var/folders/50/mzqbqxqj5fddcby2mg3h334c0000gp/T/tmpoi4p39pd/repo/vocab.json |
| [2024-01-30 00:51:30] INFO gen_config.py:130: [91mNot found[0m tokenizer config: /var/folders/50/mzqbqxqj5fddcby2mg3h334c0000gp/T/tmpoi4p39pd/repo/merges.txt |
| [2024-01-30 00:51:30] INFO gen_config.py:130: [91mNot found[0m tokenizer config: /var/folders/50/mzqbqxqj5fddcby2mg3h334c0000gp/T/tmpoi4p39pd/repo/added_tokens.json |
| [2024-01-30 00:51:30] INFO gen_config.py:128: [92mFound[0m tokenizer config: /var/folders/50/mzqbqxqj5fddcby2mg3h334c0000gp/T/tmpoi4p39pd/repo/tokenizer_config.json. Copying to [1m/var/folders/50/mzqbqxqj5fddcby2mg3h334c0000gp/T/tmphvh7e60y/tokenizer_config.json[0m |
| [2024-01-30 00:51:30] INFO gen_config.py:69: [System default] Setting [1mpad_token_id[0m: 0 |
| [2024-01-30 00:51:30] INFO gen_config.py:69: [System default] Setting [1mtemperature[0m: 0.7 |
| [2024-01-30 00:51:30] INFO gen_config.py:69: [System default] Setting [1mrepetition_penalty[0m: 1.0 |
| [2024-01-30 00:51:30] INFO gen_config.py:69: [System default] Setting [1mtop_p[0m: 0.95 |
| [2024-01-30 00:51:30] INFO gen_config.py:69: [System default] Setting [1mmean_gen_len[0m: 128 |
| [2024-01-30 00:51:30] INFO gen_config.py:69: [System default] Setting [1mmax_gen_len[0m: 512 |
| [2024-01-30 00:51:30] INFO gen_config.py:69: [System default] Setting [1mshift_fill_factor[0m: 0.3 |
| [2024-01-30 00:51:30] INFO gen_config.py:158: Dumping configuration file to: [1m/var/folders/50/mzqbqxqj5fddcby2mg3h334c0000gp/T/tmphvh7e60y/mlc-chat-config.json[0m |
| /Users/cfruan/miniconda3/envs/mlc-chat-venv/bin/python -m mlc_chat convert_weight /var/folders/50/mzqbqxqj5fddcby2mg3h334c0000gp/T/tmpoi4p39pd/repo --quantization q4f16_1 --source-format auto --output /var/folders/50/mzqbqxqj5fddcby2mg3h334c0000gp/T/tmphvh7e60y |
| [2024-01-30 00:51:30] INFO auto_config.py:115: [92mFound[0m model configuration: /var/folders/50/mzqbqxqj5fddcby2mg3h334c0000gp/T/tmpoi4p39pd/repo/config.json |
| [2024-01-30 00:51:31] INFO auto_device.py:85: [91mNot found[0m device: cuda:0 |
| [2024-01-30 00:51:31] INFO auto_device.py:85: [91mNot found[0m device: rocm:0 |
| [2024-01-30 00:51:31] INFO auto_device.py:76: [92mFound[0m device: metal:0 |
| [2024-01-30 00:51:32] INFO auto_device.py:85: [91mNot found[0m device: vulkan:0 |
| [2024-01-30 00:51:32] INFO auto_device.py:85: [91mNot found[0m device: opencl:0 |
| [2024-01-30 00:51:32] INFO auto_device.py:33: Using device: [1mmetal:0[0m |
| [2024-01-30 00:51:32] INFO auto_weight.py:70: Finding weights in: /var/folders/50/mzqbqxqj5fddcby2mg3h334c0000gp/T/tmpoi4p39pd/repo |
| [2024-01-30 00:51:32] INFO auto_weight.py:120: [92mFound[0m source weight format: huggingface-torch. Source configuration: /var/folders/50/mzqbqxqj5fddcby2mg3h334c0000gp/T/tmpoi4p39pd/repo/pytorch_model.bin.index.json |
| [2024-01-30 00:51:32] INFO auto_weight.py:143: [92mFound[0m source weight format: huggingface-safetensor. Source configuration: /var/folders/50/mzqbqxqj5fddcby2mg3h334c0000gp/T/tmpoi4p39pd/repo/model.safetensors.index.json |
| [2024-01-30 00:51:32] INFO auto_weight.py:106: Using source weight configuration: [1m/var/folders/50/mzqbqxqj5fddcby2mg3h334c0000gp/T/tmpoi4p39pd/repo/pytorch_model.bin.index.json[0m. Use `--source` to override. |
| [2024-01-30 00:51:32] INFO auto_weight.py:110: Using source weight format: [1mhuggingface-torch[0m. Use `--source-format` to override. |
| [2024-01-30 00:51:32] INFO auto_config.py:153: [92mFound[0m model type: [1mllama[0m. Use `--model-type` to override. |
| [2024-01-30 00:51:32] INFO llama_model.py:51: [1mcontext_window_size[0m not found in config.json. Falling back to [1mmax_position_embeddings[0m (16384) |
| [2024-01-30 00:51:32] INFO llama_model.py:71: [1mprefill_chunk_size[0m defaults to [1mcontext_window_size[0m (16384) |
| [1mWeight conversion with arguments:[0m |
| [1m--config[0m /var/folders/50/mzqbqxqj5fddcby2mg3h334c0000gp/T/tmpoi4p39pd/repo/config.json |
| [1m--quantization[0m GroupQuantize(name='q4f16_1', kind='group-quant', group_size=32, quantize_dtype='int4', storage_dtype='uint32', model_dtype='float16', linear_weight_layout='NK', num_elem_per_storage=8, num_storage_per_group=4, max_int_value=7) |
| [1m--model-type[0m llama |
| [1m--device[0m metal:0 |
| [1m--source[0m /var/folders/50/mzqbqxqj5fddcby2mg3h334c0000gp/T/tmpoi4p39pd/repo/pytorch_model.bin.index.json |
| [1m--source-format[0m huggingface-torch |
| [1m--output[0m /var/folders/50/mzqbqxqj5fddcby2mg3h334c0000gp/T/tmphvh7e60y |
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[2024-01-30 00:52:00] INFO huggingface_loader.py:129: [Not quantized] Parameter: "[1mmodel.layers.14.input_layernorm.weight[0m", shape: (5120,), dtype: float16 |
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[2024-01-30 00:52:01] INFO huggingface_loader.py:169: Loading HF parameters from: /var/folders/50/mzqbqxqj5fddcby2mg3h334c0000gp/T/tmpoi4p39pd/repo/pytorch_model-00002-of-00003.bin |
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[2024-01-30 00:52:13] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.15.self_attn.qkv_proj.q_weight[0m", shape: (15360, 640), dtype: uint32 |
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[2024-01-30 00:52:13] INFO huggingface_loader.py:129: [Not quantized] Parameter: "[1mmodel.layers.2.input_layernorm.weight[0m", shape: (5120,), dtype: float16 |
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[2024-01-30 00:52:14] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.2.mlp.gate_up_proj.q_weight[0m", shape: (27648, 640), dtype: uint32 |
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[2024-01-30 00:52:16] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.4.mlp.gate_up_proj.q_weight[0m", shape: (27648, 640), dtype: uint32 |
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[2024-01-30 00:52:16] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.4.self_attn.qkv_proj.q_weight[0m", shape: (15360, 640), dtype: uint32 |
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[2024-01-30 00:52:16] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.4.self_attn.o_proj.q_scale[0m", shape: (5120, 160), dtype: float16 |
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[2024-01-30 00:52:16] INFO huggingface_loader.py:129: [Not quantized] Parameter: "[1mmodel.layers.5.input_layernorm.weight[0m", shape: (5120,), dtype: float16 |
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52%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 126/243 [00:40<00:22, 5.09it/s]
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[2024-01-30 00:52:17] INFO huggingface_loader.py:129: [Not quantized] Parameter: "[1mmodel.layers.6.input_layernorm.weight[0m", shape: (5120,), dtype: float16 |
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52%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 126/243 [00:40<00:22, 5.09it/s]
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52%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 126/243 [00:40<00:22, 5.09it/s]
53%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 129/243 [00:40<00:17, 6.49it/s]
[2024-01-30 00:52:18] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.6.mlp.gate_up_proj.q_weight[0m", shape: (27648, 640), dtype: uint32 |
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53%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 130/243 [00:41<00:22, 4.92it/s]
[2024-01-30 00:52:18] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.6.self_attn.qkv_proj.q_weight[0m", shape: (15360, 640), dtype: uint32 |
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[2024-01-30 00:52:18] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.6.self_attn.qkv_proj.q_scale[0m", shape: (15360, 160), dtype: float16 |
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54%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 132/243 [00:41<00:19, 5.61it/s]
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54%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 132/243 [00:41<00:19, 5.61it/s]
[2024-01-30 00:52:18] INFO huggingface_loader.py:129: [Not quantized] Parameter: "[1mmodel.layers.7.input_layernorm.weight[0m", shape: (5120,), dtype: float16 |
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54%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 132/243 [00:41<00:19, 5.61it/s]
[2024-01-30 00:52:18] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.7.mlp.down_proj.q_weight[0m", shape: (5120, 1728), dtype: uint32 |
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54%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 132/243 [00:41<00:19, 5.61it/s]
[2024-01-30 00:52:18] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.7.mlp.down_proj.q_scale[0m", shape: (5120, 432), dtype: float16 |
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54%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 132/243 [00:41<00:19, 5.61it/s]
56%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 135/243 [00:41<00:15, 6.99it/s]
[2024-01-30 00:52:19] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.7.mlp.gate_up_proj.q_weight[0m", shape: (27648, 640), dtype: uint32 |
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56%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 135/243 [00:42<00:15, 6.99it/s]
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56%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 135/243 [00:42<00:15, 6.99it/s]
56%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 136/243 [00:42<00:20, 5.16it/s]
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56%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 136/243 [00:42<00:20, 5.16it/s]
[2024-01-30 00:52:19] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.7.self_attn.qkv_proj.q_weight[0m", shape: (15360, 640), dtype: uint32 |
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56%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 136/243 [00:42<00:20, 5.16it/s]
[2024-01-30 00:52:19] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.7.self_attn.qkv_proj.q_scale[0m", shape: (15360, 160), dtype: float16 |
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56%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 136/243 [00:42<00:20, 5.16it/s]
57%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 138/243 [00:42<00:18, 5.83it/s]
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57%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 138/243 [00:42<00:18, 5.83it/s]
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57%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 138/243 [00:42<00:18, 5.83it/s]
[2024-01-30 00:52:19] INFO huggingface_loader.py:129: [Not quantized] Parameter: "[1mmodel.layers.8.input_layernorm.weight[0m", shape: (5120,), dtype: float16 |
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57%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 138/243 [00:42<00:18, 5.83it/s]
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57%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 138/243 [00:42<00:18, 5.83it/s]
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57%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 138/243 [00:42<00:18, 5.83it/s]
58%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 141/243 [00:42<00:14, 7.19it/s]
[2024-01-30 00:52:20] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.8.mlp.gate_up_proj.q_weight[0m", shape: (27648, 640), dtype: uint32 |
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58%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 141/243 [00:43<00:14, 7.19it/s]
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58%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 141/243 [00:43<00:14, 7.19it/s]
58%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 142/243 [00:43<00:19, 5.25it/s]
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58%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 142/243 [00:43<00:19, 5.25it/s]
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58%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 142/243 [00:43<00:19, 5.25it/s]
[2024-01-30 00:52:20] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.8.self_attn.qkv_proj.q_scale[0m", shape: (15360, 160), dtype: float16 |
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58%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 142/243 [00:43<00:19, 5.25it/s]
59%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 144/243 [00:43<00:16, 5.90it/s]
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59%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 144/243 [00:43<00:16, 5.90it/s]
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59%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 144/243 [00:43<00:16, 5.90it/s]
[2024-01-30 00:52:20] INFO huggingface_loader.py:129: [Not quantized] Parameter: "[1mmodel.layers.9.input_layernorm.weight[0m", shape: (5120,), dtype: float16 |
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59%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 144/243 [00:43<00:16, 5.90it/s]
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59%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 144/243 [00:43<00:16, 5.90it/s]
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59%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 144/243 [00:43<00:16, 5.90it/s]
60%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 147/243 [00:43<00:13, 7.11it/s]
[2024-01-30 00:52:21] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.9.mlp.gate_up_proj.q_weight[0m", shape: (27648, 640), dtype: uint32 |
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60%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 147/243 [00:44<00:13, 7.11it/s]
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60%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 147/243 [00:44<00:13, 7.11it/s]
61%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 148/243 [00:44<00:18, 5.13it/s]
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61%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 148/243 [00:44<00:18, 5.13it/s]
[2024-01-30 00:52:21] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.9.self_attn.qkv_proj.q_weight[0m", shape: (15360, 640), dtype: uint32 |
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61%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 148/243 [00:44<00:18, 5.13it/s]
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61%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 148/243 [00:44<00:18, 5.13it/s]
62%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 150/243 [00:44<00:16, 5.68it/s]
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62%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 150/243 [00:44<00:16, 5.68it/s]
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62%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 150/243 [00:44<00:16, 5.68it/s]
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62%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 150/243 [00:44<00:16, 5.68it/s]
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62%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 150/243 [00:44<00:16, 5.68it/s]
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62%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 150/243 [00:44<00:16, 5.68it/s]
63%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 153/243 [00:44<00:13, 6.64it/s]
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63%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 153/243 [00:45<00:13, 6.64it/s]
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63%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 153/243 [00:45<00:13, 6.64it/s]
63%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 154/243 [00:45<00:19, 4.56it/s]
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63%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 154/243 [00:45<00:19, 4.56it/s]
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63%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 154/243 [00:45<00:19, 4.56it/s]
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63%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 154/243 [00:45<00:19, 4.56it/s]
64%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 156/243 [00:45<00:14, 5.97it/s]
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64%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 156/243 [00:45<00:14, 5.97it/s]
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64%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 156/243 [00:45<00:14, 5.97it/s]
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64%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 156/243 [00:45<00:14, 5.97it/s]
65%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 158/243 [00:45<00:13, 6.41it/s]
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65%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 158/243 [00:46<00:13, 6.41it/s]
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65%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 158/243 [00:46<00:13, 6.41it/s]
65%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 159/243 [00:46<00:19, 4.23it/s]
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65%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 159/243 [00:46<00:19, 4.23it/s]
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65%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 159/243 [00:46<00:19, 4.23it/s]
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65%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 159/243 [00:46<00:19, 4.23it/s]
66%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 161/243 [00:46<00:17, 4.74it/s]
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66%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 161/243 [00:46<00:17, 4.74it/s]
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66%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 161/243 [00:46<00:17, 4.74it/s]
67%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 162/243 [00:46<00:15, 5.25it/s]
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67%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 162/243 [00:46<00:15, 5.25it/s]
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67%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 162/243 [00:47<00:15, 5.25it/s]
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67%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 162/243 [00:47<00:15, 5.25it/s]
67%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 164/243 [00:47<00:13, 5.93it/s]
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67%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 164/243 [00:47<00:13, 5.93it/s]
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67%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 164/243 [00:47<00:13, 5.93it/s]
68%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 165/243 [00:47<00:19, 3.91it/s]
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68%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 165/243 [00:47<00:19, 3.91it/s]
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68%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 165/243 [00:48<00:19, 3.91it/s]
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68%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 165/243 [00:48<00:19, 3.91it/s]
69%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 167/243 [00:48<00:16, 4.52it/s]
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69%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 167/243 [00:48<00:16, 4.52it/s]
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69%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 167/243 [00:48<00:16, 4.52it/s]
69%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 168/243 [00:48<00:14, 5.08it/s]
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69%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 168/243 [00:48<00:14, 5.08it/s]
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69%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 168/243 [00:48<00:14, 5.08it/s]
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69%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 168/243 [00:48<00:14, 5.08it/s]
70%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 170/243 [00:48<00:12, 5.82it/s]
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70%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 170/243 [00:48<00:12, 5.82it/s]
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70%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 170/243 [00:48<00:12, 5.82it/s]
70%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 171/243 [00:48<00:18, 3.83it/s]
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70%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 171/243 [00:48<00:18, 3.83it/s]
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70%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 171/243 [00:49<00:18, 3.83it/s]
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70%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 171/243 [00:49<00:18, 3.83it/s]
71%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 173/243 [00:49<00:15, 4.46it/s]
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| [2024-01-30 00:52:41] INFO huggingface_loader.py:181: Unloading HF weight file: /var/folders/50/mzqbqxqj5fddcby2mg3h334c0000gp/T/tmpoi4p39pd/repo/pytorch_model-00001-of-00003.bin |
| [2024-01-30 00:52:42] INFO huggingface_loader.py:181: Unloading HF weight file: /var/folders/50/mzqbqxqj5fddcby2mg3h334c0000gp/T/tmpoi4p39pd/repo/pytorch_model-00002-of-00003.bin |
| [2024-01-30 00:52:42] INFO stats.py:76: [92mTime usage[0m: HF loading: 19.855 sec; Pre-quantization mapping: 40.581 sec; Quantization: 1.120 sec |
| [2024-01-30 00:52:42] INFO stats.py:90: [92mRAM usage[0m: Peak RAM: 36.979 GB. Total bytes loaded from disk: 48.488 GB |
| [2024-01-30 00:52:42] INFO convert_weight.py:121: [92mParameter size[0m after quantization: 6.819 GB |
| [2024-01-30 00:52:42] INFO convert_weight.py:126: [92mTotal parameters[0m: 13,015,864,320 |
| [2024-01-30 00:52:42] INFO convert_weight.py:127: [92mBits per parameter[0m: 4.500 |
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