Initial commit

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	/home/cfruan/.conda/envs/mlc-source-311/bin/python -m mlc_chat gen_config /ssd1/cfruan/models/TinyLlama-1.1B-Chat-v0.4 --quantization q4f32_1 --conv-template chatml --output /tmp/tmp1cqy774_
	/home/cfruan/.conda/envs/mlc-source-311/lib/python3.11/site-packages/numpy/core/getlimits.py:549: UserWarning: The value of the smallest subnormal for <class 'numpy.float64'> type is zero.
	setattr(self, word, getattr(machar, word).flat[0])
	/home/cfruan/.conda/envs/mlc-source-311/lib/python3.11/site-packages/numpy/core/getlimits.py:89: UserWarning: The value of the smallest subnormal for <class 'numpy.float64'> type is zero.
	return self._float_to_str(self.smallest_subnormal)
	/home/cfruan/.conda/envs/mlc-source-311/lib/python3.11/site-packages/numpy/core/getlimits.py:549: UserWarning: The value of the smallest subnormal for <class 'numpy.float32'> type is zero.
	setattr(self, word, getattr(machar, word).flat[0])
	/home/cfruan/.conda/envs/mlc-source-311/lib/python3.11/site-packages/numpy/core/getlimits.py:89: UserWarning: The value of the smallest subnormal for <class 'numpy.float32'> type is zero.
	return self._float_to_str(self.smallest_subnormal)
	[2024-01-16 09:48:04] INFO auto_config.py:115: [92mFound[0m model configuration: /ssd1/cfruan/models/TinyLlama-1.1B-Chat-v0.4/config.json
	[2024-01-16 09:48:04] INFO auto_config.py:153: [92mFound[0m model type: [1mllama[0m. Use `--model-type` to override.
	[2024-01-16 09:48:04] INFO llama_model.py:51: [1mcontext_window_size[0m not found in config.json. Falling back to [1mmax_position_embeddings[0m (2048)
	[2024-01-16 09:48:04] INFO llama_model.py:71: [1mprefill_chunk_size[0m defaults to [1mcontext_window_size[0m (2048)
	[2024-01-16 09:48:04] INFO gen_config.py:117: [config.json] Setting [1mbos_token_id[0m: 1
	[2024-01-16 09:48:04] INFO gen_config.py:117: [config.json] Setting [1meos_token_id[0m: 2
	[2024-01-16 09:48:04] INFO gen_config.py:129: [92mFound[0m tokenizer config: /ssd1/cfruan/models/TinyLlama-1.1B-Chat-v0.4/tokenizer.model. Copying to [1m/tmp/tmp1cqy774_/tokenizer.model[0m
	[2024-01-16 09:48:04] INFO gen_config.py:129: [92mFound[0m tokenizer config: /ssd1/cfruan/models/TinyLlama-1.1B-Chat-v0.4/tokenizer.json. Copying to [1m/tmp/tmp1cqy774_/tokenizer.json[0m
	[2024-01-16 09:48:04] INFO gen_config.py:131: [91mNot found[0m tokenizer config: /ssd1/cfruan/models/TinyLlama-1.1B-Chat-v0.4/vocab.json
	[2024-01-16 09:48:04] INFO gen_config.py:131: [91mNot found[0m tokenizer config: /ssd1/cfruan/models/TinyLlama-1.1B-Chat-v0.4/merges.txt
	[2024-01-16 09:48:04] INFO gen_config.py:129: [92mFound[0m tokenizer config: /ssd1/cfruan/models/TinyLlama-1.1B-Chat-v0.4/added_tokens.json. Copying to [1m/tmp/tmp1cqy774_/added_tokens.json[0m
	[2024-01-16 09:48:04] INFO gen_config.py:129: [92mFound[0m tokenizer config: /ssd1/cfruan/models/TinyLlama-1.1B-Chat-v0.4/tokenizer_config.json. Copying to [1m/tmp/tmp1cqy774_/tokenizer_config.json[0m
	[2024-01-16 09:48:04] INFO gen_config.py:70: [System default] Setting [1mpad_token_id[0m: 0
	[2024-01-16 09:48:04] INFO gen_config.py:70: [System default] Setting [1mtemperature[0m: 0.7
	[2024-01-16 09:48:04] INFO gen_config.py:70: [System default] Setting [1mrepetition_penalty[0m: 1.0
	[2024-01-16 09:48:04] INFO gen_config.py:70: [System default] Setting [1mtop_p[0m: 0.95
	[2024-01-16 09:48:04] INFO gen_config.py:70: [System default] Setting [1mmean_gen_len[0m: 128
	[2024-01-16 09:48:04] INFO gen_config.py:70: [System default] Setting [1mmax_gen_len[0m: 512
	[2024-01-16 09:48:04] INFO gen_config.py:70: [System default] Setting [1mshift_fill_factor[0m: 0.3
	[2024-01-16 09:48:04] INFO gen_config.py:159: Dumping configuration file to: [1m/tmp/tmp1cqy774_/mlc-chat-config.json[0m
	/home/cfruan/.conda/envs/mlc-source-311/bin/python -m mlc_chat convert_weight /ssd1/cfruan/models/TinyLlama-1.1B-Chat-v0.4 --quantization q4f32_1 --source-format auto --output /tmp/tmp1cqy774_
	/home/cfruan/.conda/envs/mlc-source-311/lib/python3.11/site-packages/numpy/core/getlimits.py:549: UserWarning: The value of the smallest subnormal for <class 'numpy.float64'> type is zero.
	setattr(self, word, getattr(machar, word).flat[0])
	/home/cfruan/.conda/envs/mlc-source-311/lib/python3.11/site-packages/numpy/core/getlimits.py:89: UserWarning: The value of the smallest subnormal for <class 'numpy.float64'> type is zero.
	return self._float_to_str(self.smallest_subnormal)
	/home/cfruan/.conda/envs/mlc-source-311/lib/python3.11/site-packages/numpy/core/getlimits.py:549: UserWarning: The value of the smallest subnormal for <class 'numpy.float32'> type is zero.
	setattr(self, word, getattr(machar, word).flat[0])
	/home/cfruan/.conda/envs/mlc-source-311/lib/python3.11/site-packages/numpy/core/getlimits.py:89: UserWarning: The value of the smallest subnormal for <class 'numpy.float32'> type is zero.
	return self._float_to_str(self.smallest_subnormal)
	[2024-01-16 09:48:05] INFO auto_config.py:115: [92mFound[0m model configuration: /ssd1/cfruan/models/TinyLlama-1.1B-Chat-v0.4/config.json
	[2024-01-16 09:48:06] INFO auto_device.py:76: [92mFound[0m device: cuda:0
	[2024-01-16 09:48:06] INFO auto_device.py:76: [92mFound[0m device: cuda:1
	[2024-01-16 09:48:06] INFO auto_device.py:85: [91mNot found[0m device: rocm:0
	[2024-01-16 09:48:06] INFO auto_device.py:85: [91mNot found[0m device: metal:0
	[2024-01-16 09:48:07] INFO auto_device.py:76: [92mFound[0m device: vulkan:0
	[2024-01-16 09:48:07] INFO auto_device.py:76: [92mFound[0m device: vulkan:1
	[2024-01-16 09:48:07] INFO auto_device.py:76: [92mFound[0m device: vulkan:2
	[2024-01-16 09:48:07] INFO auto_device.py:85: [91mNot found[0m device: opencl:0
	[2024-01-16 09:48:07] INFO auto_device.py:33: Using device: [1mcuda:0[0m
	[2024-01-16 09:48:07] INFO auto_weight.py:70: Finding weights in: /ssd1/cfruan/models/TinyLlama-1.1B-Chat-v0.4
	[2024-01-16 09:48:07] INFO auto_weight.py:129: [92mFound[0m source weight format: huggingface-torch. Source configuration: /ssd1/cfruan/models/TinyLlama-1.1B-Chat-v0.4/pytorch_model.bin
	[2024-01-16 09:48:07] INFO auto_weight.py:143: [92mFound[0m source weight format: huggingface-safetensor. Source configuration: /ssd1/cfruan/models/TinyLlama-1.1B-Chat-v0.4/model.safetensors.index.json
	[2024-01-16 09:48:07] INFO auto_weight.py:106: Using source weight configuration: [1m/ssd1/cfruan/models/TinyLlama-1.1B-Chat-v0.4/pytorch_model.bin[0m. Use `--source` to override.
	[2024-01-16 09:48:07] INFO auto_weight.py:110: Using source weight format: [1mhuggingface-torch[0m. Use `--source-format` to override.
	[2024-01-16 09:48:07] INFO auto_config.py:153: [92mFound[0m model type: [1mllama[0m. Use `--model-type` to override.
	[2024-01-16 09:48:07] INFO llama_model.py:51: [1mcontext_window_size[0m not found in config.json. Falling back to [1mmax_position_embeddings[0m (2048)
	[2024-01-16 09:48:07] INFO llama_model.py:71: [1mprefill_chunk_size[0m defaults to [1mcontext_window_size[0m (2048)
	[2024-01-16 09:48:11] INFO huggingface_loader.py:169: Loading HF parameters from: /ssd1/cfruan/models/TinyLlama-1.1B-Chat-v0.4/pytorch_model.bin
	[1mWeight conversion with arguments:[0m
	[1m--config[0m /ssd1/cfruan/models/TinyLlama-1.1B-Chat-v0.4/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', 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 /ssd1/cfruan/models/TinyLlama-1.1B-Chat-v0.4/pytorch_model.bin
	[1m--source-format[0m huggingface-torch
	[1m--output[0m /tmp/tmp1cqy774_
	0%\| \| 0/135 [00:00<?, ?it/s] [2024-01-16 09:48:14] INFO group_quantization.py:227: Compiling quantize function for key: ((32003, 2048), float32, cuda, axis=1, output_transpose=False)
	0%\| \| 0/135 [00:00<?, ?it/s] [2024-01-16 09:48:15] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.embed_tokens.q_weight[0m", shape: (32003, 256), dtype: uint32
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	1%\|█▏ \| 1/135 [00:01<02:28, 1.11s/it] 1%\|██▎ \| 2/135 [00:01<01:25, 1.56it/s] [2024-01-16 09:48:15] INFO group_quantization.py:227: Compiling quantize function for key: ((2048, 2048), float32, cuda, axis=1, output_transpose=False)
	1%\|██▎ \| 2/135 [00:01<01:25, 1.56it/s] [2024-01-16 09:48:15] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.0.self_attn.o_proj.q_weight[0m", shape: (2048, 256), dtype: uint32
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	1%\|██▎ \| 2/135 [00:01<01:25, 1.56it/s] 2%\|███▍ \| 3/135 [00:01<01:04, 2.05it/s] [2024-01-16 09:48:15] INFO group_quantization.py:227: Compiling quantize function for key: ((11264, 2048), float32, cuda, axis=1, output_transpose=False)
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	4%\|█████▋ \| 5/135 [00:02<00:50, 2.58it/s] [2024-01-16 09:48:16] INFO huggingface_loader.py:129: [Not quantized] Parameter: "[1mmodel.layers.1.input_layernorm.weight[0m", shape: (2048,), dtype: float32
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	4%\|█████▋ \| 5/135 [00:02<00:50, 2.58it/s] [2024-01-16 09:48:16] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.2.self_attn.o_proj.q_weight[0m", shape: (2048, 256), dtype: uint32
	4%\|█████▋ \| 5/135 [00:02<00:50, 2.58it/s] [2024-01-16 09:48:16] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.2.self_attn.o_proj.q_scale[0m", shape: (2048, 64), dtype: float32
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	4%\|█████▋ \| 5/135 [00:02<00:50, 2.58it/s] [2024-01-16 09:48:16] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.2.mlp.gate_up_proj.q_scale[0m", shape: (11264, 64), dtype: float32
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	12%\|██████████████████ \| 16/135 [00:02<00:07, 15.01it/s] [2024-01-16 09:48:16] INFO huggingface_loader.py:129: [Not quantized] Parameter: "[1mmodel.layers.2.input_layernorm.weight[0m", shape: (2048,), dtype: float32
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	12%\|██████████████████ \| 16/135 [00:02<00:07, 15.01it/s] [2024-01-16 09:48:16] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.3.self_attn.o_proj.q_weight[0m", shape: (2048, 256), dtype: uint32
	12%\|██████████████████ \| 16/135 [00:02<00:07, 15.01it/s] [2024-01-16 09:48:16] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.3.self_attn.o_proj.q_scale[0m", shape: (2048, 64), dtype: float32
	12%\|██████████████████ \| 16/135 [00:02<00:07, 15.01it/s] [2024-01-16 09:48:16] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.3.mlp.gate_up_proj.q_weight[0m", shape: (11264, 256), dtype: uint32
	12%\|██████████████████ \| 16/135 [00:02<00:07, 15.01it/s] [2024-01-16 09:48:16] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.3.mlp.gate_up_proj.q_scale[0m", shape: (11264, 64), dtype: float32
	12%\|██████████████████ \| 16/135 [00:02<00:07, 15.01it/s] [2024-01-16 09:48:16] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.3.mlp.down_proj.q_weight[0m", shape: (2048, 704), dtype: uint32
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	12%\|██████████████████ \| 16/135 [00:02<00:07, 15.01it/s] [2024-01-16 09:48:16] INFO huggingface_loader.py:129: [Not quantized] Parameter: "[1mmodel.layers.3.input_layernorm.weight[0m", shape: (2048,), dtype: float32
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	74%\|███████████████████████████████████████████████████████████████████████████████████████████████████████████████▊ \| 100/135 [00:03<00:00, 84.51it/s] [2024-01-16 09:48:17] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.17.self_attn.qkv_proj.q_scale[0m", shape: (2560, 64), dtype: float32
	74%\|███████████████████████████████████████████████████████████████████████████████████████████████████████████████▊ \| 100/135 [00:03<00:00, 84.51it/s] [2024-01-16 09:48:17] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.17.self_attn.o_proj.q_weight[0m", shape: (2048, 256), dtype: uint32
	74%\|███████████████████████████████████████████████████████████████████████████████████████████████████████████████▊ \| 100/135 [00:03<00:00, 84.51it/s] [2024-01-16 09:48:17] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.17.self_attn.o_proj.q_scale[0m", shape: (2048, 64), dtype: float32
	74%\|███████████████████████████████████████████████████████████████████████████████████████████████████████████████▊ \| 100/135 [00:03<00:00, 84.51it/s] [2024-01-16 09:48:17] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.17.mlp.gate_up_proj.q_weight[0m", shape: (11264, 256), dtype: uint32
	74%\|███████████████████████████████████████████████████████████████████████████████████████████████████████████████▊ \| 100/135 [00:03<00:00, 84.51it/s] [2024-01-16 09:48:17] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.17.mlp.gate_up_proj.q_scale[0m", shape: (11264, 64), dtype: float32
	74%\|███████████████████████████████████████████████████████████████████████████████████████████████████████████████▊ \| 100/135 [00:03<00:00, 84.51it/s] [2024-01-16 09:48:17] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.17.mlp.down_proj.q_weight[0m", shape: (2048, 704), dtype: uint32
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	74%\|███████████████████████████████████████████████████████████████████████████████████████████████████████████████▊ \| 100/135 [00:03<00:00, 84.51it/s] [2024-01-16 09:48:17] INFO huggingface_loader.py:129: [Not quantized] Parameter: "[1mmodel.layers.17.input_layernorm.weight[0m", shape: (2048,), dtype: float32
	74%\|███████████████████████████████████████████████████████████████████████████████████████████████████████████████▊ \| 100/135 [00:03<00:00, 84.51it/s] [2024-01-16 09:48:17] INFO huggingface_loader.py:129: [Not quantized] Parameter: "[1mmodel.layers.17.post_attention_layernorm.weight[0m", shape: (2048,), dtype: float32
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	74%\|███████████████████████████████████████████████████████████████████████████████████████████████████████████████▊ \| 100/135 [00:03<00:00, 84.51it/s] [2024-01-16 09:48:17] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.18.self_attn.qkv_proj.q_scale[0m", shape: (2560, 64), dtype: float32
	74%\|███████████████████████████████████████████████████████████████████████████████████████████████████████████████▊ \| 100/135 [00:03<00:00, 84.51it/s] [2024-01-16 09:48:17] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.18.self_attn.o_proj.q_weight[0m", shape: (2048, 256), dtype: uint32
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	83%\|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▎ \| 112/135 [00:03<00:00, 87.15it/s] [2024-01-16 09:48:17] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.18.mlp.down_proj.q_scale[0m", shape: (2048, 176), dtype: float32
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	[2024-01-16 09:48:17] INFO huggingface_loader.py:179: Unloading HF weight file: /ssd1/cfruan/models/TinyLlama-1.1B-Chat-v0.4/pytorch_model.bin
	[2024-01-16 09:48:18] INFO stats.py:71: [92mTime usage[0m: HF loading: 2.527 sec; Pre-quantization mapping: 0.893 sec; Quantization: 2.222 sec
	[2024-01-16 09:48:18] INFO stats.py:85: [92mRAM usage[0m: Peak RAM: 4.098 GB. Total bytes loaded from disk: 4.098 GB
	[2024-01-16 09:48:18] INFO convert_weight.py:119: [92mParameter size[0m after quantization: 0.641 GB
	[2024-01-16 09:48:18] INFO convert_weight.py:124: [92mTotal parameters[0m: 1,100,060,672
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	All finished, 24 total shards committed, record saved to /tmp/tmp1cqy774_/ndarray-cache.json
	Also saved a bf16 record to /tmp/tmp1cqy774_/ndarray-cache-b16.json