/Users/cfruan/miniconda3/envs/mlc-chat-venv/bin/python -m mlc_chat gen_config /var/folders/50/mzqbqxqj5fddcby2mg3h334c0000gp/T/tmphxbtotbe/repo --quantization q4f32_1 --conv-template LM --output /var/folders/50/mzqbqxqj5fddcby2mg3h334c0000gp/T/tmpuxkym6nn --context-window-size 16384
[2024-01-29 22:09:52] INFO auto_config.py:115: Found model configuration: /var/folders/50/mzqbqxqj5fddcby2mg3h334c0000gp/T/tmphxbtotbe/repo/config.json
[2024-01-29 22:09:52] INFO auto_config.py:153: Found model type: llama. Use `--model-type` to override.
[2024-01-29 22:09:52] INFO llama_model.py:51: context_window_size not found in config.json. Falling back to max_position_embeddings (16384)
[2024-01-29 22:09:52] INFO llama_model.py:71: prefill_chunk_size defaults to context_window_size (16384)
[2024-01-29 22:09:52] INFO config.py:106: Overriding context_window_size from 16384 to 16384
[2024-01-29 22:09:52] INFO config.py:106: Overriding max_batch_size from 1 to 80
[2024-01-29 22:09:52] INFO gen_config.py:116: [generation_config.json] Setting bos_token_id: 1
[2024-01-29 22:09:52] INFO gen_config.py:116: [generation_config.json] Setting eos_token_id: 2
[2024-01-29 22:09:52] INFO gen_config.py:128: Found tokenizer config: /var/folders/50/mzqbqxqj5fddcby2mg3h334c0000gp/T/tmphxbtotbe/repo/tokenizer.model. Copying to /var/folders/50/mzqbqxqj5fddcby2mg3h334c0000gp/T/tmpuxkym6nn/tokenizer.model
[2024-01-29 22:09:52] INFO gen_config.py:128: Found tokenizer config: /var/folders/50/mzqbqxqj5fddcby2mg3h334c0000gp/T/tmphxbtotbe/repo/tokenizer.json. Copying to /var/folders/50/mzqbqxqj5fddcby2mg3h334c0000gp/T/tmpuxkym6nn/tokenizer.json
[2024-01-29 22:09:52] INFO gen_config.py:130: Not found tokenizer config: /var/folders/50/mzqbqxqj5fddcby2mg3h334c0000gp/T/tmphxbtotbe/repo/vocab.json
[2024-01-29 22:09:52] INFO gen_config.py:130: Not found tokenizer config: /var/folders/50/mzqbqxqj5fddcby2mg3h334c0000gp/T/tmphxbtotbe/repo/merges.txt
[2024-01-29 22:09:52] INFO gen_config.py:130: Not found tokenizer config: /var/folders/50/mzqbqxqj5fddcby2mg3h334c0000gp/T/tmphxbtotbe/repo/added_tokens.json
[2024-01-29 22:09:52] INFO gen_config.py:128: Found tokenizer config: /var/folders/50/mzqbqxqj5fddcby2mg3h334c0000gp/T/tmphxbtotbe/repo/tokenizer_config.json. Copying to /var/folders/50/mzqbqxqj5fddcby2mg3h334c0000gp/T/tmpuxkym6nn/tokenizer_config.json
[2024-01-29 22:09:52] INFO gen_config.py:69: [System default] Setting pad_token_id: 0
[2024-01-29 22:09:52] INFO gen_config.py:69: [System default] Setting temperature: 0.7
[2024-01-29 22:09:52] INFO gen_config.py:69: [System default] Setting repetition_penalty: 1.0
[2024-01-29 22:09:52] INFO gen_config.py:69: [System default] Setting top_p: 0.95
[2024-01-29 22:09:52] INFO gen_config.py:69: [System default] Setting mean_gen_len: 128
[2024-01-29 22:09:52] INFO gen_config.py:69: [System default] Setting max_gen_len: 512
[2024-01-29 22:09:52] INFO gen_config.py:69: [System default] Setting shift_fill_factor: 0.3
[2024-01-29 22:09:52] INFO gen_config.py:158: Dumping configuration file to: /var/folders/50/mzqbqxqj5fddcby2mg3h334c0000gp/T/tmpuxkym6nn/mlc-chat-config.json
/Users/cfruan/miniconda3/envs/mlc-chat-venv/bin/python -m mlc_chat convert_weight /var/folders/50/mzqbqxqj5fddcby2mg3h334c0000gp/T/tmphxbtotbe/repo --quantization q4f32_1 --source-format auto --output /var/folders/50/mzqbqxqj5fddcby2mg3h334c0000gp/T/tmpuxkym6nn
[2024-01-29 22:09:52] INFO auto_config.py:115: Found model configuration: /var/folders/50/mzqbqxqj5fddcby2mg3h334c0000gp/T/tmphxbtotbe/repo/config.json
[2024-01-29 22:09:53] INFO auto_device.py:85: Not found device: cuda:0
[2024-01-29 22:09:53] INFO auto_device.py:85: Not found device: rocm:0
[2024-01-29 22:09:53] INFO auto_device.py:76: Found device: metal:0
[2024-01-29 22:09:54] INFO auto_device.py:85: Not found device: vulkan:0
[2024-01-29 22:09:54] INFO auto_device.py:85: Not found device: opencl:0
[2024-01-29 22:09:54] INFO auto_device.py:33: Using device: metal:0
[2024-01-29 22:09:54] INFO auto_weight.py:70: Finding weights in: /var/folders/50/mzqbqxqj5fddcby2mg3h334c0000gp/T/tmphxbtotbe/repo
[2024-01-29 22:09:54] INFO auto_weight.py:120: Found source weight format: huggingface-torch. Source configuration: /var/folders/50/mzqbqxqj5fddcby2mg3h334c0000gp/T/tmphxbtotbe/repo/pytorch_model.bin.index.json
[2024-01-29 22:09:54] INFO auto_weight.py:143: Found source weight format: huggingface-safetensor. Source configuration: /var/folders/50/mzqbqxqj5fddcby2mg3h334c0000gp/T/tmphxbtotbe/repo/model.safetensors.index.json
[2024-01-29 22:09:54] INFO auto_weight.py:106: Using source weight configuration: /var/folders/50/mzqbqxqj5fddcby2mg3h334c0000gp/T/tmphxbtotbe/repo/pytorch_model.bin.index.json. Use `--source` to override.
[2024-01-29 22:09:54] INFO auto_weight.py:110: Using source weight format: huggingface-torch. Use `--source-format` to override.
[2024-01-29 22:09:54] INFO auto_config.py:153: Found model type: llama. Use `--model-type` to override.
[2024-01-29 22:09:54] INFO llama_model.py:51: context_window_size not found in config.json. Falling back to max_position_embeddings (16384)
[2024-01-29 22:09:54] INFO llama_model.py:71: prefill_chunk_size defaults to context_window_size (16384)
Weight conversion with arguments:
  --config          /var/folders/50/mzqbqxqj5fddcby2mg3h334c0000gp/T/tmphxbtotbe/repo/config.json
  --quantization    GroupQuantize(name='q4f32_1', kind='group-quant', group_size=32, quantize_dtype='int4', storage_dtype='uint32', model_dtype='float32', 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/tmphxbtotbe/repo/pytorch_model.bin.index.json
  --source-format   huggingface-torch
  --output          /var/folders/50/mzqbqxqj5fddcby2mg3h334c0000gp/T/tmpuxkym6nn

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[2024-01-29 22:09:59] INFO huggingface_loader.py:169: Loading HF parameters from: /var/folders/50/mzqbqxqj5fddcby2mg3h334c0000gp/T/tmphxbtotbe/repo/pytorch_model-00007-of-00007.bin

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[2024-01-29 22:10:03] INFO group_quantization.py:227: Compiling quantize function for key: ((32000, 8192), float32, metal, axis=1, output_transpose=False)

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[2024-01-29 22:10:03] INFO huggingface_loader.py:121: [Quantized] Parameter: "lm_head.q_weight", shape: (32000, 1024), dtype: uint32

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[2024-01-29 22:10:03] INFO huggingface_loader.py:121: [Quantized] Parameter: "lm_head.q_scale", shape: (32000, 256), dtype: float32

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[2024-01-29 22:10:03] INFO huggingface_loader.py:129: [Not quantized] Parameter: "model.layers.41.input_layernorm.weight", shape: (8192,), dtype: float32

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[2024-01-29 22:10:03] INFO group_quantization.py:227: Compiling quantize function for key: ((8192, 22016), float32, metal, axis=1, output_transpose=False)

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[2024-01-29 22:10:04] INFO huggingface_loader.py:121: [Quantized] Parameter: "model.layers.41.mlp.down_proj.q_weight", shape: (8192, 2752), dtype: uint32

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[2024-01-29 22:10:04] INFO huggingface_loader.py:121: [Quantized] Parameter: "model.layers.41.mlp.down_proj.q_scale", shape: (8192, 688), dtype: float32

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[2024-01-29 22:10:04] INFO huggingface_loader.py:129: [Not quantized] Parameter: "model.layers.42.input_layernorm.weight", shape: (8192,), dtype: float32

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[2024-01-29 22:10:04] INFO huggingface_loader.py:121: [Quantized] Parameter: "model.layers.42.mlp.down_proj.q_weight", shape: (8192, 2752), dtype: uint32

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[2024-01-29 22:10:04] INFO huggingface_loader.py:121: [Quantized] Parameter: "model.layers.42.mlp.down_proj.q_scale", shape: (8192, 688), dtype: float32

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[2024-01-29 22:10:04] INFO group_quantization.py:227: Compiling quantize function for key: ((44032, 8192), float32, metal, axis=1, output_transpose=False)

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[2024-01-29 22:10:04] INFO huggingface_loader.py:121: [Quantized] Parameter: "model.layers.42.mlp.gate_up_proj.q_weight", shape: (44032, 1024), dtype: uint32

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[2024-01-29 22:10:04] INFO huggingface_loader.py:121: [Quantized] Parameter: "model.layers.42.mlp.gate_up_proj.q_scale", shape: (44032, 256), dtype: float32

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[2024-01-29 22:10:05] INFO group_quantization.py:227: Compiling quantize function for key: ((10240, 8192), float32, metal, axis=1, output_transpose=False)

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[2024-01-29 22:10:05] INFO huggingface_loader.py:121: [Quantized] Parameter: "model.layers.42.self_attn.qkv_proj.q_weight", shape: (10240, 1024), dtype: uint32

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[2024-01-29 22:11:10] 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 22:11:14] INFO huggingface_loader.py:129: [Not quantized] Parameter: "model.layers.34.input_layernorm.weight", shape: (8192,), dtype: float32

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[2024-01-29 22:11:22] INFO huggingface_loader.py:121: [Quantized] Parameter: "model.layers.35.mlp.gate_up_proj.q_weight", shape: (44032, 1024), dtype: uint32

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[2024-01-29 22:11:22] INFO huggingface_loader.py:121: [Quantized] Parameter: "model.layers.35.mlp.gate_up_proj.q_scale", shape: (44032, 256), dtype: float32

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[2024-01-29 22:11:22] INFO huggingface_loader.py:129: [Not quantized] Parameter: "model.layers.35.post_attention_layernorm.weight", shape: (8192,), dtype: float32

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[2024-01-29 22:11:22] INFO huggingface_loader.py:121: [Quantized] Parameter: "model.layers.35.self_attn.qkv_proj.q_weight", shape: (10240, 1024), dtype: uint32

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[2024-01-29 22:11:22] INFO huggingface_loader.py:121: [Quantized] Parameter: "model.layers.35.self_attn.qkv_proj.q_scale", shape: (10240, 256), dtype: float32

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[2024-01-29 22:11:23] INFO huggingface_loader.py:121: [Quantized] Parameter: "model.layers.35.self_attn.o_proj.q_scale", shape: (8192, 256), dtype: float32

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[2024-01-29 22:11:23] INFO huggingface_loader.py:129: [Not quantized] Parameter: "model.layers.36.input_layernorm.weight", shape: (8192,), dtype: float32

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[2024-01-29 22:11:23] INFO huggingface_loader.py:121: [Quantized] Parameter: "model.layers.36.mlp.down_proj.q_weight", shape: (8192, 2752), dtype: uint32

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[2024-01-29 22:11:23] INFO huggingface_loader.py:121: [Quantized] Parameter: "model.layers.36.mlp.down_proj.q_scale", shape: (8192, 688), dtype: float32

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[2024-01-29 22:11:24] INFO huggingface_loader.py:121: [Quantized] Parameter: "model.layers.36.mlp.gate_up_proj.q_weight", shape: (44032, 1024), dtype: uint32

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[2024-01-29 22:11:24] INFO huggingface_loader.py:121: [Quantized] Parameter: "model.layers.36.mlp.gate_up_proj.q_scale", shape: (44032, 256), dtype: float32

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[2024-01-29 22:11:24] INFO huggingface_loader.py:129: [Not quantized] Parameter: "model.layers.36.post_attention_layernorm.weight", shape: (8192,), dtype: float32

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[2024-01-29 22:11:24] INFO huggingface_loader.py:121: [Quantized] Parameter: "model.layers.36.self_attn.qkv_proj.q_weight", shape: (10240, 1024), dtype: uint32

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[2024-01-29 22:11:24] INFO huggingface_loader.py:121: [Quantized] Parameter: "model.layers.36.self_attn.qkv_proj.q_scale", shape: (10240, 256), dtype: float32

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[2024-01-29 22:11:24] INFO huggingface_loader.py:121: [Quantized] Parameter: "model.layers.36.self_attn.o_proj.q_weight", shape: (8192, 1024), dtype: uint32

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[2024-01-29 22:11:24] INFO huggingface_loader.py:121: [Quantized] Parameter: "model.layers.36.self_attn.o_proj.q_scale", shape: (8192, 256), dtype: float32

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[2024-01-29 22:11:24] INFO huggingface_loader.py:129: [Not quantized] Parameter: "model.layers.37.input_layernorm.weight", shape: (8192,), dtype: float32

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[2024-01-29 22:11:24] INFO huggingface_loader.py:121: [Quantized] Parameter: "model.layers.37.mlp.down_proj.q_weight", shape: (8192, 2752), dtype: uint32

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[2024-01-29 22:11:24] INFO huggingface_loader.py:121: [Quantized] Parameter: "model.layers.37.mlp.down_proj.q_scale", shape: (8192, 688), dtype: float32

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[2024-01-29 22:11:25] INFO huggingface_loader.py:121: [Quantized] Parameter: "model.layers.37.mlp.gate_up_proj.q_weight", shape: (44032, 1024), dtype: uint32

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[2024-01-29 22:11:25] INFO huggingface_loader.py:121: [Quantized] Parameter: "model.layers.37.mlp.gate_up_proj.q_scale", shape: (44032, 256), dtype: float32

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[2024-01-29 22:11:25] INFO huggingface_loader.py:129: [Not quantized] Parameter: "model.layers.37.post_attention_layernorm.weight", shape: (8192,), dtype: float32

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[2024-01-29 22:11:26] INFO huggingface_loader.py:121: [Quantized] Parameter: "model.layers.37.self_attn.qkv_proj.q_weight", shape: (10240, 1024), dtype: uint32

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[2024-01-29 22:11:26] INFO huggingface_loader.py:121: [Quantized] Parameter: "model.layers.37.self_attn.qkv_proj.q_scale", shape: (10240, 256), dtype: float32

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[2024-01-29 22:11:26] INFO huggingface_loader.py:121: [Quantized] Parameter: "model.layers.37.self_attn.o_proj.q_weight", shape: (8192, 1024), dtype: uint32

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[2024-01-29 22:11:26] INFO huggingface_loader.py:121: [Quantized] Parameter: "model.layers.37.self_attn.o_proj.q_scale", shape: (8192, 256), dtype: float32

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[2024-01-29 22:11:26] INFO huggingface_loader.py:129: [Not quantized] Parameter: "model.layers.38.input_layernorm.weight", shape: (8192,), dtype: float32

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[2024-01-29 22:11:26] INFO huggingface_loader.py:121: [Quantized] Parameter: "model.layers.38.mlp.down_proj.q_weight", shape: (8192, 2752), dtype: uint32

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[2024-01-29 22:11:26] INFO huggingface_loader.py:121: [Quantized] Parameter: "model.layers.38.mlp.down_proj.q_scale", shape: (8192, 688), dtype: float32

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[2024-01-29 22:11:27] INFO huggingface_loader.py:121: [Quantized] Parameter: "model.layers.38.mlp.gate_up_proj.q_weight", shape: (44032, 1024), dtype: uint32

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[2024-01-29 22:11:27] INFO huggingface_loader.py:121: [Quantized] Parameter: "model.layers.38.mlp.gate_up_proj.q_scale", shape: (44032, 256), dtype: float32

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[2024-01-29 22:11:27] INFO huggingface_loader.py:129: [Not quantized] Parameter: "model.layers.38.post_attention_layernorm.weight", shape: (8192,), dtype: float32

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[2024-01-29 22:11:27] INFO huggingface_loader.py:121: [Quantized] Parameter: "model.layers.38.self_attn.qkv_proj.q_weight", shape: (10240, 1024), dtype: uint32

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[2024-01-29 22:11:27] INFO huggingface_loader.py:121: [Quantized] Parameter: "model.layers.38.self_attn.qkv_proj.q_scale", shape: (10240, 256), dtype: float32

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[2024-01-29 22:11:27] INFO huggingface_loader.py:121: [Quantized] Parameter: "model.layers.38.self_attn.o_proj.q_weight", shape: (8192, 1024), dtype: uint32

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[2024-01-29 22:11:27] INFO huggingface_loader.py:121: [Quantized] Parameter: "model.layers.38.self_attn.o_proj.q_scale", shape: (8192, 256), dtype: float32

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[2024-01-29 22:11:27] INFO huggingface_loader.py:129: [Not quantized] Parameter: "model.layers.39.input_layernorm.weight", shape: (8192,), dtype: float32

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[2024-01-29 22:11:27] INFO huggingface_loader.py:121: [Quantized] Parameter: "model.layers.39.mlp.down_proj.q_weight", shape: (8192, 2752), dtype: uint32

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[2024-01-29 22:11:27] INFO huggingface_loader.py:121: [Quantized] Parameter: "model.layers.39.mlp.down_proj.q_scale", shape: (8192, 688), dtype: float32

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[2024-01-29 22:11:28] INFO huggingface_loader.py:121: [Quantized] Parameter: "model.layers.39.mlp.gate_up_proj.q_weight", shape: (44032, 1024), dtype: uint32

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[2024-01-29 22:11:28] INFO huggingface_loader.py:121: [Quantized] Parameter: "model.layers.39.mlp.gate_up_proj.q_scale", shape: (44032, 256), dtype: float32

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[2024-01-29 22:11:28] INFO huggingface_loader.py:129: [Not quantized] Parameter: "model.layers.39.post_attention_layernorm.weight", shape: (8192,), dtype: float32

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[2024-01-29 22:11:28] INFO huggingface_loader.py:121: [Quantized] Parameter: "model.layers.39.self_attn.qkv_proj.q_weight", shape: (10240, 1024), dtype: uint32

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[2024-01-29 22:11:28] INFO huggingface_loader.py:121: [Quantized] Parameter: "model.layers.39.self_attn.qkv_proj.q_scale", shape: (10240, 256), dtype: float32

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[2024-01-29 22:11:28] INFO huggingface_loader.py:121: [Quantized] Parameter: "model.layers.39.self_attn.o_proj.q_weight", shape: (8192, 1024), dtype: uint32

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[2024-01-29 22:11:31] 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 22:11:31] INFO stats.py:76: Time usage: HF loading: 24.110 sec; Pre-quantization mapping: 40.906 sec; Quantization: 2.372 sec
[2024-01-29 22:11:31] INFO stats.py:90: RAM usage: Peak RAM: 18.352 GB. Total bytes loaded from disk: 125.706 GB
[2024-01-29 22:11:31] INFO convert_weight.py:121: Parameter size after quantization: 19.644 GB
[2024-01-29 22:11:31] INFO convert_weight.py:126: Total parameters: 33,743,970,304
[2024-01-29 22:11:31] INFO convert_weight.py:127: Bits per parameter: 5.001
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[0450/0485] saving model.layers.38.input_layernorm.weight[2024-01-29 22:12:12] INFO convert_weight.py:143: Saved to directory: /var/folders/50/mzqbqxqj5fddcby2mg3h334c0000gp/T/tmpuxkym6nn

                                                                  
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All finished, 275 total shards committed, record saved to /var/folders/50/mzqbqxqj5fddcby2mg3h334c0000gp/T/tmpuxkym6nn/ndarray-cache.json
Also saved a bf16 record to /var/folders/50/mzqbqxqj5fddcby2mg3h334c0000gp/T/tmpuxkym6nn/ndarray-cache-b16.json