/Users/cfruan/miniconda3/envs/mlc-chat-venv/bin/python -m mlc_chat gen_config /var/folders/50/mzqbqxqj5fddcby2mg3h334c0000gp/T/tmphxbtotbe/repo --quantization q4f16_1 --conv-template LM --output /var/folders/50/mzqbqxqj5fddcby2mg3h334c0000gp/T/tmpe1uh65a9 --context-window-size 16384
[2024-01-29 21:59:26] INFO auto_config.py:115: [92mFound[0m model configuration: /var/folders/50/mzqbqxqj5fddcby2mg3h334c0000gp/T/tmphxbtotbe/repo/config.json
[2024-01-29 21:59:26] INFO auto_config.py:153: [92mFound[0m model type: [1mllama[0m. Use `--model-type` to override.
[2024-01-29 21:59:26] INFO llama_model.py:51: [1mcontext_window_size[0m not found in config.json. Falling back to [1mmax_position_embeddings[0m (16384)
[2024-01-29 21:59:26] INFO llama_model.py:71: [1mprefill_chunk_size[0m defaults to [1mcontext_window_size[0m (16384)
[2024-01-29 21:59:26] INFO config.py:106: Overriding [1mcontext_window_size[0m from 16384 to 16384
[2024-01-29 21:59:26] INFO config.py:106: Overriding [1mmax_batch_size[0m from 1 to 80
[2024-01-29 21:59:26] INFO gen_config.py:116: [generation_config.json] Setting [1mbos_token_id[0m: 1
[2024-01-29 21:59:26] INFO gen_config.py:116: [generation_config.json] Setting [1meos_token_id[0m: 2
[2024-01-29 21:59:26] INFO gen_config.py:128: [92mFound[0m tokenizer config: /var/folders/50/mzqbqxqj5fddcby2mg3h334c0000gp/T/tmphxbtotbe/repo/tokenizer.model. Copying to [1m/var/folders/50/mzqbqxqj5fddcby2mg3h334c0000gp/T/tmpe1uh65a9/tokenizer.model[0m
[2024-01-29 21:59:26] INFO gen_config.py:128: [92mFound[0m tokenizer config: /var/folders/50/mzqbqxqj5fddcby2mg3h334c0000gp/T/tmphxbtotbe/repo/tokenizer.json. Copying to [1m/var/folders/50/mzqbqxqj5fddcby2mg3h334c0000gp/T/tmpe1uh65a9/tokenizer.json[0m
[2024-01-29 21:59:26] INFO gen_config.py:130: [91mNot found[0m tokenizer config: /var/folders/50/mzqbqxqj5fddcby2mg3h334c0000gp/T/tmphxbtotbe/repo/vocab.json
[2024-01-29 21:59:26] INFO gen_config.py:130: [91mNot found[0m tokenizer config: /var/folders/50/mzqbqxqj5fddcby2mg3h334c0000gp/T/tmphxbtotbe/repo/merges.txt
[2024-01-29 21:59:26] INFO gen_config.py:130: [91mNot found[0m tokenizer config: /var/folders/50/mzqbqxqj5fddcby2mg3h334c0000gp/T/tmphxbtotbe/repo/added_tokens.json
[2024-01-29 21:59:26] INFO gen_config.py:128: [92mFound[0m tokenizer config: /var/folders/50/mzqbqxqj5fddcby2mg3h334c0000gp/T/tmphxbtotbe/repo/tokenizer_config.json. Copying to [1m/var/folders/50/mzqbqxqj5fddcby2mg3h334c0000gp/T/tmpe1uh65a9/tokenizer_config.json[0m
[2024-01-29 21:59:26] INFO gen_config.py:69: [System default] Setting [1mpad_token_id[0m: 0
[2024-01-29 21:59:26] INFO gen_config.py:69: [System default] Setting [1mtemperature[0m: 0.7
[2024-01-29 21:59:26] INFO gen_config.py:69: [System default] Setting [1mrepetition_penalty[0m: 1.0
[2024-01-29 21:59:26] INFO gen_config.py:69: [System default] Setting [1mtop_p[0m: 0.95
[2024-01-29 21:59:26] INFO gen_config.py:69: [System default] Setting [1mmean_gen_len[0m: 128
[2024-01-29 21:59:26] INFO gen_config.py:69: [System default] Setting [1mmax_gen_len[0m: 512
[2024-01-29 21:59:26] INFO gen_config.py:69: [System default] Setting [1mshift_fill_factor[0m: 0.3
[2024-01-29 21:59:26] INFO gen_config.py:158: Dumping configuration file to: [1m/var/folders/50/mzqbqxqj5fddcby2mg3h334c0000gp/T/tmpe1uh65a9/mlc-chat-config.json[0m
/Users/cfruan/miniconda3/envs/mlc-chat-venv/bin/python -m mlc_chat convert_weight /var/folders/50/mzqbqxqj5fddcby2mg3h334c0000gp/T/tmphxbtotbe/repo --quantization q4f16_1 --source-format auto --output /var/folders/50/mzqbqxqj5fddcby2mg3h334c0000gp/T/tmpe1uh65a9
[2024-01-29 21:59:26] INFO auto_config.py:115: [92mFound[0m model configuration: /var/folders/50/mzqbqxqj5fddcby2mg3h334c0000gp/T/tmphxbtotbe/repo/config.json
[2024-01-29 21:59:27] INFO auto_device.py:85: [91mNot found[0m device: cuda:0
[2024-01-29 21:59:27] INFO auto_device.py:85: [91mNot found[0m device: rocm:0
[2024-01-29 21:59:27] INFO auto_device.py:76: [92mFound[0m device: metal:0
[2024-01-29 21:59:28] INFO auto_device.py:85: [91mNot found[0m device: vulkan:0
[2024-01-29 21:59:28] INFO auto_device.py:85: [91mNot found[0m device: opencl:0
[2024-01-29 21:59:28] INFO auto_device.py:33: Using device: [1mmetal:0[0m
[2024-01-29 21:59:28] INFO auto_weight.py:70: Finding weights in: /var/folders/50/mzqbqxqj5fddcby2mg3h334c0000gp/T/tmphxbtotbe/repo
[2024-01-29 21:59:28] INFO auto_weight.py:120: [92mFound[0m source weight format: huggingface-torch. Source configuration: /var/folders/50/mzqbqxqj5fddcby2mg3h334c0000gp/T/tmphxbtotbe/repo/pytorch_model.bin.index.json
[2024-01-29 21:59:28] INFO auto_weight.py:143: [92mFound[0m source weight format: huggingface-safetensor. Source configuration: /var/folders/50/mzqbqxqj5fddcby2mg3h334c0000gp/T/tmphxbtotbe/repo/model.safetensors.index.json
[2024-01-29 21:59:28] INFO auto_weight.py:106: Using source weight configuration: [1m/var/folders/50/mzqbqxqj5fddcby2mg3h334c0000gp/T/tmphxbtotbe/repo/pytorch_model.bin.index.json[0m. Use `--source` to override.
[2024-01-29 21:59:28] INFO auto_weight.py:110: Using source weight format: [1mhuggingface-torch[0m. Use `--source-format` to override.
[2024-01-29 21:59:28] INFO auto_config.py:153: [92mFound[0m model type: [1mllama[0m. Use `--model-type` to override.
[2024-01-29 21:59:28] INFO llama_model.py:51: [1mcontext_window_size[0m not found in config.json. Falling back to [1mmax_position_embeddings[0m (16384)
[2024-01-29 21:59:28] 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/tmphxbtotbe/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/tmphxbtotbe/repo/pytorch_model.bin.index.json
[1m--source-format[0m huggingface-torch
[1m--output[0m /var/folders/50/mzqbqxqj5fddcby2mg3h334c0000gp/T/tmpe1uh65a9
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[2024-01-29 22:00:55] INFO huggingface_loader.py:129: [Not quantized] Parameter: "[1mmodel.layers.22.input_layernorm.weight[0m", shape: (8192,), dtype: float16
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[2024-01-29 22:00:57] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.22.mlp.gate_up_proj.q_weight[0m", shape: (44032, 1024), dtype: uint32
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[2024-01-29 22:00:57] INFO huggingface_loader.py:129: [Not quantized] Parameter: "[1mmodel.layers.23.input_layernorm.weight[0m", shape: (8192,), dtype: float16
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[2024-01-29 22:00:58] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.23.mlp.down_proj.q_weight[0m", shape: (8192, 2752), dtype: uint32
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[2024-01-29 22:00:58] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.23.mlp.down_proj.q_scale[0m", shape: (8192, 688), dtype: float16
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[2024-01-29 22:00:59] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.23.mlp.gate_up_proj.q_weight[0m", shape: (44032, 1024), dtype: uint32
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[2024-01-29 22:00:59] INFO huggingface_loader.py:129: [Not quantized] Parameter: "[1mmodel.layers.23.post_attention_layernorm.weight[0m", shape: (8192,), dtype: float16
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[2024-01-29 22:00:59] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.23.self_attn.qkv_proj.q_weight[0m", shape: (10240, 1024), dtype: uint32
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[2024-01-29 22:00:59] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.23.self_attn.qkv_proj.q_scale[0m", shape: (10240, 256), dtype: float16
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[2024-01-29 22:00:59] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.23.self_attn.o_proj.q_scale[0m", shape: (8192, 256), dtype: float16
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[2024-01-29 22:00:59] INFO huggingface_loader.py:129: [Not quantized] Parameter: "[1mmodel.layers.24.input_layernorm.weight[0m", shape: (8192,), dtype: float16
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[2024-01-29 22:01:00] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.24.mlp.down_proj.q_weight[0m", shape: (8192, 2752), dtype: uint32
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[2024-01-29 22:01:01] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.24.mlp.gate_up_proj.q_scale[0m", shape: (44032, 256), dtype: float16
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[2024-01-29 22:01:01] INFO huggingface_loader.py:129: [Not quantized] Parameter: "[1mmodel.layers.24.post_attention_layernorm.weight[0m", shape: (8192,), dtype: float16
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[2024-01-29 22:01:01] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.24.self_attn.qkv_proj.q_weight[0m", shape: (10240, 1024), dtype: uint32
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[2024-01-29 22:01:01] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.24.self_attn.qkv_proj.q_scale[0m", shape: (10240, 256), dtype: float16
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[2024-01-29 22:01:01] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.24.self_attn.o_proj.q_scale[0m", shape: (8192, 256), dtype: float16
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[2024-01-29 22:01:01] INFO huggingface_loader.py:129: [Not quantized] Parameter: "[1mmodel.layers.25.input_layernorm.weight[0m", shape: (8192,), dtype: float16
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[2024-01-29 22:01:02] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.25.mlp.down_proj.q_weight[0m", shape: (8192, 2752), dtype: uint32
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[2024-01-29 22:01:02] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.25.mlp.down_proj.q_scale[0m", shape: (8192, 688), dtype: float16
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[2024-01-29 22:01:03] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.25.mlp.gate_up_proj.q_weight[0m", shape: (44032, 1024), dtype: uint32
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[2024-01-29 22:01:03] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.25.mlp.gate_up_proj.q_scale[0m", shape: (44032, 256), dtype: float16
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[2024-01-29 22:01:03] INFO huggingface_loader.py:129: [Not quantized] Parameter: "[1mmodel.layers.25.post_attention_layernorm.weight[0m", shape: (8192,), dtype: float16
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[2024-01-29 22:01:04] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.25.self_attn.qkv_proj.q_weight[0m", shape: (10240, 1024), dtype: uint32
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[2024-01-29 22:01:04] INFO huggingface_loader.py:129: [Not quantized] Parameter: "[1mmodel.layers.26.input_layernorm.weight[0m", shape: (8192,), dtype: float16
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[2024-01-29 22:01:04] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.26.mlp.down_proj.q_scale[0m", shape: (8192, 688), dtype: float16
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[2024-01-29 22:01:20] INFO huggingface_loader.py:129: [Not quantized] Parameter: "[1mmodel.layers.31.post_attention_layernorm.weight[0m", shape: (8192,), dtype: float16
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[2024-01-29 22:01:21] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.31.self_attn.qkv_proj.q_weight[0m", shape: (10240, 1024), dtype: uint32
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[2024-01-29 22:01:21] INFO huggingface_loader.py:129: [Not quantized] Parameter: "[1mmodel.layers.32.input_layernorm.weight[0m", shape: (8192,), dtype: float16
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[2024-01-29 22:01:23] INFO huggingface_loader.py:129: [Not quantized] Parameter: "[1mmodel.layers.33.input_layernorm.weight[0m", shape: (8192,), dtype: float16
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[2024-01-29 22:01:27] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.34.mlp.gate_up_proj.q_weight[0m", shape: (44032, 1024), dtype: uint32
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[2024-01-29 22:01:27] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.34.self_attn.o_proj.q_weight[0m", shape: (8192, 1024), dtype: uint32
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[2024-01-29 22:01:27] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.34.self_attn.o_proj.q_scale[0m", shape: (8192, 256), dtype: float16
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[2024-01-29 22:01:27] INFO huggingface_loader.py:181: Unloading HF weight file: /var/folders/50/mzqbqxqj5fddcby2mg3h334c0000gp/T/tmphxbtotbe/repo/pytorch_model-00005-of-00007.bin
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[2024-01-29 22:01:27] INFO huggingface_loader.py:169: Loading HF parameters from: /var/folders/50/mzqbqxqj5fddcby2mg3h334c0000gp/T/tmphxbtotbe/repo/pytorch_model-00006-of-00007.bin
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[2024-01-29 22:01:30] INFO huggingface_loader.py:129: [Not quantized] Parameter: "[1mmodel.layers.34.input_layernorm.weight[0m", shape: (8192,), dtype: float16
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[2024-01-29 22:01:31] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.34.mlp.down_proj.q_weight[0m", shape: (8192, 2752), dtype: uint32
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[2024-01-29 22:01:31] INFO huggingface_loader.py:129: [Not quantized] Parameter: "[1mmodel.layers.35.input_layernorm.weight[0m", shape: (8192,), dtype: float16
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[2024-01-29 22:01:33] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.35.self_attn.o_proj.q_weight[0m", shape: (8192, 1024), dtype: uint32
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[2024-01-29 22:01:33] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.35.self_attn.o_proj.q_scale[0m", shape: (8192, 256), dtype: float16
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89%|█████████████████████████████████████████████████████████████████████████████████████████████▉ | 258/291 [01:59<00:14, 2.32it/s]
[2024-01-29 22:01:33] INFO huggingface_loader.py:129: [Not quantized] Parameter: "[1mmodel.layers.36.input_layernorm.weight[0m", shape: (8192,), dtype: float16
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[2024-01-29 22:01:34] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.36.mlp.down_proj.q_weight[0m", shape: (8192, 2752), dtype: uint32
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[2024-01-29 22:01:34] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.36.mlp.down_proj.q_scale[0m", shape: (8192, 688), dtype: float16
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89%|██████████████████████████████████████████████████████████████████████████████████████████████▋ | 260/291 [02:00<00:11, 2.77it/s]
[2024-01-29 22:01:37] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.36.mlp.gate_up_proj.q_weight[0m", shape: (44032, 1024), dtype: uint32
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[2024-01-29 22:01:37] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.36.mlp.gate_up_proj.q_scale[0m", shape: (44032, 256), dtype: float16
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90%|███████████████████████████████████████████████████████████████████████████████████████████████ | 261/291 [02:03<00:28, 1.05it/s]
[2024-01-29 22:01:37] INFO huggingface_loader.py:129: [Not quantized] Parameter: "[1mmodel.layers.36.post_attention_layernorm.weight[0m", shape: (8192,), dtype: float16
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[2024-01-29 22:01:37] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.36.self_attn.qkv_proj.q_weight[0m", shape: (10240, 1024), dtype: uint32
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[2024-01-29 22:01:37] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.36.self_attn.qkv_proj.q_scale[0m", shape: (10240, 256), dtype: float16
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90%|███████████████████████████████████████████████████████████████████████████████████████████████▊ | 263/291 [02:03<00:18, 1.55it/s]
[2024-01-29 22:01:37] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.36.self_attn.o_proj.q_weight[0m", shape: (8192, 1024), dtype: uint32
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[2024-01-29 22:01:37] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.36.self_attn.o_proj.q_scale[0m", shape: (8192, 256), dtype: float16
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91%|████████████████████████████████████████████████████████████████████████████████████████████████▏ | 264/291 [02:04<00:14, 1.83it/s]
[2024-01-29 22:01:37] INFO huggingface_loader.py:129: [Not quantized] Parameter: "[1mmodel.layers.37.input_layernorm.weight[0m", shape: (8192,), dtype: float16
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[2024-01-29 22:01:38] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.37.mlp.down_proj.q_weight[0m", shape: (8192, 2752), dtype: uint32
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[2024-01-29 22:01:38] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.37.mlp.down_proj.q_scale[0m", shape: (8192, 688), dtype: float16
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91%|████████████████████████████████████████████████████████████████████████████████████████████████▉ | 266/291 [02:04<00:11, 2.27it/s]
[2024-01-29 22:01:39] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.37.mlp.gate_up_proj.q_weight[0m", shape: (44032, 1024), dtype: uint32
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[2024-01-29 22:01:39] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.37.mlp.gate_up_proj.q_scale[0m", shape: (44032, 256), dtype: float16
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92%|█████████████████████████████████████████████████████████████████████████████████████████████████▎ | 267/291 [02:05<00:15, 1.59it/s]
[2024-01-29 22:01:39] INFO huggingface_loader.py:129: [Not quantized] Parameter: "[1mmodel.layers.37.post_attention_layernorm.weight[0m", shape: (8192,), dtype: float16
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[2024-01-29 22:01:39] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.37.self_attn.qkv_proj.q_weight[0m", shape: (10240, 1024), dtype: uint32
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[2024-01-29 22:01:39] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.37.self_attn.qkv_proj.q_scale[0m", shape: (10240, 256), dtype: float16
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[2024-01-29 22:01:40] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.37.self_attn.o_proj.q_weight[0m", shape: (8192, 1024), dtype: uint32
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[2024-01-29 22:01:40] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.37.self_attn.o_proj.q_scale[0m", shape: (8192, 256), dtype: float16
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[2024-01-29 22:01:40] INFO huggingface_loader.py:129: [Not quantized] Parameter: "[1mmodel.layers.38.input_layernorm.weight[0m", shape: (8192,), dtype: float16
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[2024-01-29 22:01:40] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.38.mlp.down_proj.q_weight[0m", shape: (8192, 2752), dtype: uint32
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[2024-01-29 22:01:40] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.38.mlp.down_proj.q_scale[0m", shape: (8192, 688), dtype: float16
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[2024-01-29 22:01:42] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.38.mlp.gate_up_proj.q_weight[0m", shape: (44032, 1024), dtype: uint32
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[2024-01-29 22:01:42] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.38.mlp.gate_up_proj.q_scale[0m", shape: (44032, 256), dtype: float16
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94%|███████████████████████████████████████████████████████████████████████████████████████████████████▍ | 273/291 [02:08<00:09, 1.82it/s]
[2024-01-29 22:01:42] INFO huggingface_loader.py:129: [Not quantized] Parameter: "[1mmodel.layers.38.post_attention_layernorm.weight[0m", shape: (8192,), dtype: float16
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[2024-01-29 22:01:42] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.38.self_attn.qkv_proj.q_weight[0m", shape: (10240, 1024), dtype: uint32
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[2024-01-29 22:01:42] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.38.self_attn.qkv_proj.q_scale[0m", shape: (10240, 256), dtype: float16
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95%|████████████████████████████████████████████████████████████████████████████████████████████████████▏ | 275/291 [02:08<00:06, 2.54it/s]
[2024-01-29 22:01:42] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.38.self_attn.o_proj.q_weight[0m", shape: (8192, 1024), dtype: uint32
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[2024-01-29 22:01:42] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.38.self_attn.o_proj.q_scale[0m", shape: (8192, 256), dtype: float16
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95%|████████████████████████████████████████████████████████████████████████████████████████████████████▌ | 276/291 [02:08<00:05, 2.86it/s]
[2024-01-29 22:01:42] INFO huggingface_loader.py:129: [Not quantized] Parameter: "[1mmodel.layers.39.input_layernorm.weight[0m", shape: (8192,), dtype: float16
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[2024-01-29 22:01:43] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.39.mlp.down_proj.q_weight[0m", shape: (8192, 2752), dtype: uint32
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[2024-01-29 22:01:43] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.39.mlp.down_proj.q_scale[0m", shape: (8192, 688), dtype: float16
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[2024-01-29 22:01:44] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.39.mlp.gate_up_proj.q_weight[0m", shape: (44032, 1024), dtype: uint32
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[2024-01-29 22:01:44] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.39.mlp.gate_up_proj.q_scale[0m", shape: (44032, 256), dtype: float16
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[2024-01-29 22:01:44] INFO huggingface_loader.py:129: [Not quantized] Parameter: "[1mmodel.layers.39.post_attention_layernorm.weight[0m", shape: (8192,), dtype: float16
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[2024-01-29 22:01:44] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.39.self_attn.qkv_proj.q_weight[0m", shape: (10240, 1024), dtype: uint32
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[2024-01-29 22:01:44] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.39.self_attn.qkv_proj.q_scale[0m", shape: (10240, 256), dtype: float16
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97%|██████████████████████████████████████████████████████████████████████████████████████████████████████▎ | 281/291 [02:10<00:03, 2.62it/s]
[2024-01-29 22:01:44] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.39.self_attn.o_proj.q_weight[0m", shape: (8192, 1024), dtype: uint32
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[2024-01-29 22:01:44] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.39.self_attn.o_proj.q_scale[0m", shape: (8192, 256), dtype: float16
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[2024-01-29 22:01:44] INFO huggingface_loader.py:129: [Not quantized] Parameter: "[1mmodel.layers.40.input_layernorm.weight[0m", shape: (8192,), dtype: float16
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[2024-01-29 22:01:45] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.40.mlp.down_proj.q_weight[0m", shape: (8192, 2752), dtype: uint32
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[2024-01-29 22:01:45] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.40.mlp.down_proj.q_scale[0m", shape: (8192, 688), dtype: float16
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98%|███████████████████████████████████████████████████████████████████████████████████████████████████████▍ | 284/291 [02:11<00:02, 3.19it/s]
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[2024-01-29 22:01:48] INFO huggingface_loader.py:181: Unloading HF weight file: /var/folders/50/mzqbqxqj5fddcby2mg3h334c0000gp/T/tmphxbtotbe/repo/pytorch_model-00006-of-00007.bin
[2024-01-29 22:01:49] INFO stats.py:76: [92mTime usage[0m: HF loading: 23.645 sec; Pre-quantization mapping: 97.650 sec; Quantization: 2.004 sec
[2024-01-29 22:01:49] INFO stats.py:90: [92mRAM usage[0m: Peak RAM: 18.352 GB. Total bytes loaded from disk: 125.706 GB
[2024-01-29 22:01:49] INFO convert_weight.py:121: [92mParameter size[0m after quantization: 17.678 GB
[2024-01-29 22:01:49] INFO convert_weight.py:126: [92mTotal parameters[0m: 33,743,970,304
[2024-01-29 22:01:49] INFO convert_weight.py:127: [92mBits per parameter[0m: 4.500
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