/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: Found model configuration: /var/folders/50/mzqbqxqj5fddcby2mg3h334c0000gp/T/tmpoi4p39pd/repo/config.json
[2024-01-30 00:51:30] INFO auto_config.py:153: Found model type: llama. Use `--model-type` to override.
[2024-01-30 00:51:30] INFO llama_model.py:51: context_window_size not found in config.json. Falling back to max_position_embeddings (16384)
[2024-01-30 00:51:30] INFO llama_model.py:71: prefill_chunk_size defaults to context_window_size (16384)
[2024-01-30 00:51:30] INFO config.py:106: Overriding context_window_size from 16384 to 16384
[2024-01-30 00:51:30] INFO config.py:106: Overriding max_batch_size from 1 to 80
[2024-01-30 00:51:30] INFO gen_config.py:116: [generation_config.json] Setting bos_token_id: 1
[2024-01-30 00:51:30] INFO gen_config.py:116: [generation_config.json] Setting eos_token_id: 2
[2024-01-30 00:51:30] INFO gen_config.py:128: Found tokenizer config: /var/folders/50/mzqbqxqj5fddcby2mg3h334c0000gp/T/tmpoi4p39pd/repo/tokenizer.model. Copying to /var/folders/50/mzqbqxqj5fddcby2mg3h334c0000gp/T/tmphvh7e60y/tokenizer.model
[2024-01-30 00:51:30] INFO gen_config.py:128: Found tokenizer config: /var/folders/50/mzqbqxqj5fddcby2mg3h334c0000gp/T/tmpoi4p39pd/repo/tokenizer.json. Copying to /var/folders/50/mzqbqxqj5fddcby2mg3h334c0000gp/T/tmphvh7e60y/tokenizer.json
[2024-01-30 00:51:30] INFO gen_config.py:130: Not found tokenizer config: /var/folders/50/mzqbqxqj5fddcby2mg3h334c0000gp/T/tmpoi4p39pd/repo/vocab.json
[2024-01-30 00:51:30] INFO gen_config.py:130: Not found tokenizer config: /var/folders/50/mzqbqxqj5fddcby2mg3h334c0000gp/T/tmpoi4p39pd/repo/merges.txt
[2024-01-30 00:51:30] INFO gen_config.py:130: Not found tokenizer config: /var/folders/50/mzqbqxqj5fddcby2mg3h334c0000gp/T/tmpoi4p39pd/repo/added_tokens.json
[2024-01-30 00:51:30] INFO gen_config.py:128: Found tokenizer config: /var/folders/50/mzqbqxqj5fddcby2mg3h334c0000gp/T/tmpoi4p39pd/repo/tokenizer_config.json. Copying to /var/folders/50/mzqbqxqj5fddcby2mg3h334c0000gp/T/tmphvh7e60y/tokenizer_config.json
[2024-01-30 00:51:30] INFO gen_config.py:69: [System default] Setting pad_token_id: 0
[2024-01-30 00:51:30] INFO gen_config.py:69: [System default] Setting temperature: 0.7
[2024-01-30 00:51:30] INFO gen_config.py:69: [System default] Setting repetition_penalty: 1.0
[2024-01-30 00:51:30] INFO gen_config.py:69: [System default] Setting top_p: 0.95
[2024-01-30 00:51:30] INFO gen_config.py:69: [System default] Setting mean_gen_len: 128
[2024-01-30 00:51:30] INFO gen_config.py:69: [System default] Setting max_gen_len: 512
[2024-01-30 00:51:30] INFO gen_config.py:69: [System default] Setting shift_fill_factor: 0.3
[2024-01-30 00:51:30] INFO gen_config.py:158: Dumping configuration file to: /var/folders/50/mzqbqxqj5fddcby2mg3h334c0000gp/T/tmphvh7e60y/mlc-chat-config.json
/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: Found model configuration: /var/folders/50/mzqbqxqj5fddcby2mg3h334c0000gp/T/tmpoi4p39pd/repo/config.json
[2024-01-30 00:51:31] INFO auto_device.py:85: Not found device: cuda:0
[2024-01-30 00:51:31] INFO auto_device.py:85: Not found device: rocm:0
[2024-01-30 00:51:31] INFO auto_device.py:76: Found device: metal:0
[2024-01-30 00:51:32] INFO auto_device.py:85: Not found device: vulkan:0
[2024-01-30 00:51:32] INFO auto_device.py:85: Not found device: opencl:0
[2024-01-30 00:51:32] INFO auto_device.py:33: Using device: metal:0
[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: Found 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: Found 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: /var/folders/50/mzqbqxqj5fddcby2mg3h334c0000gp/T/tmpoi4p39pd/repo/pytorch_model.bin.index.json. Use `--source` to override.
[2024-01-30 00:51:32] INFO auto_weight.py:110: Using source weight format: huggingface-torch. Use `--source-format` to override.
[2024-01-30 00:51:32] INFO auto_config.py:153: Found model type: llama. Use `--model-type` to override.
[2024-01-30 00:51:32] INFO llama_model.py:51: context_window_size not found in config.json. Falling back to max_position_embeddings (16384)
[2024-01-30 00:51:32] INFO llama_model.py:71: prefill_chunk_size defaults to context_window_size (16384)
Weight conversion with arguments:
  --config          /var/folders/50/mzqbqxqj5fddcby2mg3h334c0000gp/T/tmpoi4p39pd/repo/config.json
  --quantization    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)
  --model-type      llama
  --device          metal:0
  --source          /var/folders/50/mzqbqxqj5fddcby2mg3h334c0000gp/T/tmpoi4p39pd/repo/pytorch_model.bin.index.json
  --source-format   huggingface-torch
  --output          /var/folders/50/mzqbqxqj5fddcby2mg3h334c0000gp/T/tmphvh7e60y

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[2024-01-30 00:51:37] INFO huggingface_loader.py:169: Loading HF parameters from: /var/folders/50/mzqbqxqj5fddcby2mg3h334c0000gp/T/tmpoi4p39pd/repo/pytorch_model-00003-of-00003.bin

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[2024-01-30 00:51:41] INFO group_quantization.py:227: Compiling quantize function for key: ((32000, 5120), float16, metal, axis=1, output_transpose=False)

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[2024-01-30 00:51:41] INFO huggingface_loader.py:121: [Quantized] Parameter: "lm_head.q_weight", shape: (32000, 640), dtype: uint32

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[2024-01-30 00:51:41] INFO huggingface_loader.py:121: [Quantized] Parameter: "lm_head.q_scale", shape: (32000, 160), dtype: float16

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[2024-01-30 00:51:41] INFO huggingface_loader.py:129: [Not quantized] Parameter: "model.layers.30.input_layernorm.weight", shape: (5120,), dtype: float16

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[2024-01-30 00:51:41] INFO group_quantization.py:227: Compiling quantize function for key: ((5120, 13824), float16, metal, axis=1, output_transpose=False)

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[2024-01-30 00:51:41] INFO huggingface_loader.py:121: [Quantized] Parameter: "model.layers.30.mlp.down_proj.q_weight", shape: (5120, 1728), dtype: uint32

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[2024-01-30 00:51:41] INFO huggingface_loader.py:121: [Quantized] Parameter: "model.layers.30.mlp.down_proj.q_scale", shape: (5120, 432), dtype: float16

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[2024-01-30 00:51:41] INFO huggingface_loader.py:129: [Not quantized] Parameter: "model.layers.30.post_attention_layernorm.weight", shape: (5120,), dtype: float16

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[2024-01-30 00:51:41] INFO huggingface_loader.py:129: [Not quantized] Parameter: "model.layers.31.input_layernorm.weight", shape: (5120,), dtype: float16

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[2024-01-30 00:51:41] INFO huggingface_loader.py:121: [Quantized] Parameter: "model.layers.31.mlp.down_proj.q_weight", shape: (5120, 1728), dtype: uint32

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[2024-01-30 00:51:41] INFO huggingface_loader.py:121: [Quantized] Parameter: "model.layers.31.mlp.down_proj.q_scale", shape: (5120, 432), dtype: float16

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[2024-01-30 00:51:42] INFO group_quantization.py:227: Compiling quantize function for key: ((27648, 5120), float16, metal, axis=1, output_transpose=False)

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[2024-01-30 00:51:42] INFO huggingface_loader.py:121: [Quantized] Parameter: "model.layers.31.mlp.gate_up_proj.q_weight", shape: (27648, 640), dtype: uint32

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[2024-01-30 00:51:42] INFO huggingface_loader.py:121: [Quantized] Parameter: "model.layers.31.mlp.gate_up_proj.q_scale", shape: (27648, 160), dtype: float16

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[2024-01-30 00:51:42] INFO group_quantization.py:227: Compiling quantize function for key: ((15360, 5120), float16, metal, axis=1, output_transpose=False)

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[2024-01-30 00:51:42] INFO huggingface_loader.py:121: [Quantized] Parameter: "model.layers.31.self_attn.qkv_proj.q_weight", shape: (15360, 640), dtype: uint32

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[2024-01-30 00:51:42] INFO huggingface_loader.py:121: [Quantized] Parameter: "model.layers.31.self_attn.qkv_proj.q_scale", shape: (15360, 160), dtype: float16

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[2024-01-30 00:51:42] INFO group_quantization.py:227: Compiling quantize function for key: ((5120, 5120), float16, metal, axis=1, output_transpose=False)

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[2024-01-30 00:51:43] INFO huggingface_loader.py:121: [Quantized] Parameter: "model.layers.32.mlp.down_proj.q_weight", shape: (5120, 1728), dtype: uint32

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[2024-01-30 00:52:31] INFO huggingface_loader.py:121: [Quantized] Parameter: "model.layers.22.mlp.gate_up_proj.q_weight", shape: (27648, 640), dtype: uint32

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[2024-01-30 00:52:31] INFO huggingface_loader.py:121: [Quantized] Parameter: "model.layers.22.mlp.gate_up_proj.q_scale", shape: (27648, 160), dtype: float16

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[2024-01-30 00:52:31] INFO huggingface_loader.py:121: [Quantized] Parameter: "model.layers.22.self_attn.o_proj.q_scale", shape: (5120, 160), dtype: float16

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[2024-01-30 00:52:32] INFO huggingface_loader.py:121: [Quantized] Parameter: "model.layers.23.self_attn.qkv_proj.q_weight", shape: (15360, 640), dtype: uint32

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[2024-01-30 00:52:32] INFO huggingface_loader.py:121: [Quantized] Parameter: "model.layers.23.self_attn.qkv_proj.q_scale", shape: (15360, 160), dtype: float16

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[2024-01-30 00:52:32] INFO huggingface_loader.py:121: [Quantized] Parameter: "model.layers.23.self_attn.o_proj.q_scale", shape: (5120, 160), dtype: float16

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[2024-01-30 00:52:34] INFO huggingface_loader.py:121: [Quantized] Parameter: "model.layers.24.self_attn.qkv_proj.q_weight", shape: (15360, 640), dtype: uint32

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[2024-01-30 00:52:34] INFO huggingface_loader.py:121: [Quantized] Parameter: "model.layers.24.self_attn.qkv_proj.q_scale", shape: (15360, 160), dtype: float16

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[2024-01-30 00:52:34] INFO huggingface_loader.py:121: [Quantized] Parameter: "model.layers.24.self_attn.o_proj.q_scale", shape: (5120, 160), dtype: float16

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[2024-01-30 00:52:34] INFO huggingface_loader.py:129: [Not quantized] Parameter: "model.layers.25.input_layernorm.weight", shape: (5120,), dtype: float16

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[2024-01-30 00:52:34] INFO huggingface_loader.py:121: [Quantized] Parameter: "model.layers.25.mlp.down_proj.q_weight", shape: (5120, 1728), dtype: uint32

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[2024-01-30 00:52:35] INFO huggingface_loader.py:121: [Quantized] Parameter: "model.layers.25.mlp.gate_up_proj.q_weight", shape: (27648, 640), dtype: uint32

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[2024-01-30 00:52:35] INFO huggingface_loader.py:121: [Quantized] Parameter: "model.layers.25.mlp.gate_up_proj.q_scale", shape: (27648, 160), dtype: float16

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[2024-01-30 00:52:35] INFO huggingface_loader.py:129: [Not quantized] Parameter: "model.layers.25.post_attention_layernorm.weight", shape: (5120,), dtype: float16

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[2024-01-30 00:52:35] INFO huggingface_loader.py:121: [Quantized] Parameter: "model.layers.25.self_attn.qkv_proj.q_weight", shape: (15360, 640), dtype: uint32

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[2024-01-30 00:52:35] INFO huggingface_loader.py:121: [Quantized] Parameter: "model.layers.25.self_attn.qkv_proj.q_scale", shape: (15360, 160), dtype: float16

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[2024-01-30 00:52:35] INFO huggingface_loader.py:121: [Quantized] Parameter: "model.layers.25.self_attn.o_proj.q_weight", shape: (5120, 640), dtype: uint32

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[2024-01-30 00:52:35] INFO huggingface_loader.py:121: [Quantized] Parameter: "model.layers.25.self_attn.o_proj.q_scale", shape: (5120, 160), dtype: float16

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[2024-01-30 00:52:35] INFO huggingface_loader.py:129: [Not quantized] Parameter: "model.layers.26.input_layernorm.weight", shape: (5120,), dtype: float16

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[2024-01-30 00:52:35] INFO huggingface_loader.py:121: [Quantized] Parameter: "model.layers.26.mlp.down_proj.q_weight", shape: (5120, 1728), dtype: uint32

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[2024-01-30 00:52:35] INFO huggingface_loader.py:121: [Quantized] Parameter: "model.layers.26.mlp.down_proj.q_scale", shape: (5120, 432), dtype: float16

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[2024-01-30 00:52:36] INFO huggingface_loader.py:121: [Quantized] Parameter: "model.layers.26.mlp.gate_up_proj.q_weight", shape: (27648, 640), dtype: uint32

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[2024-01-30 00:52:36] INFO huggingface_loader.py:121: [Quantized] Parameter: "model.layers.26.mlp.gate_up_proj.q_scale", shape: (27648, 160), dtype: float16

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[2024-01-30 00:52:36] INFO huggingface_loader.py:121: [Quantized] Parameter: "model.layers.26.self_attn.qkv_proj.q_weight", shape: (15360, 640), dtype: uint32

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[2024-01-30 00:52:36] INFO huggingface_loader.py:121: [Quantized] Parameter: "model.layers.26.self_attn.qkv_proj.q_scale", shape: (15360, 160), dtype: float16

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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
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[2024-01-30 00:52:42] INFO stats.py:76: Time usage: 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: RAM usage: Peak RAM: 36.979 GB. Total bytes loaded from disk: 48.488 GB
[2024-01-30 00:52:42] INFO convert_weight.py:121: Parameter size after quantization: 6.819 GB
[2024-01-30 00:52:42] INFO convert_weight.py:126: Total parameters: 13,015,864,320
[2024-01-30 00:52:42] INFO convert_weight.py:127: Bits per parameter: 4.500
Start storing to cache /var/folders/50/mzqbqxqj5fddcby2mg3h334c0000gp/T/tmphvh7e60y


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