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/opt/conda/envs/py310/bin/python -m mlc_llm gen_config /models/TinyLlama-1.1B-Chat-v1.0 --quantization q0f16 --conv-template chatml --output /models/mlc-delivery/hf/mlc-ai/TinyLlama-1.1B-Chat-v1.0-q0f16-MLC |
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[2024-06-04 20:08:25] INFO auto_config.py:116: [92mFound[0m model configuration: /models/TinyLlama-1.1B-Chat-v1.0/config.json |
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[2024-06-04 20:08:25] INFO llama_model.py:52: [1mcontext_window_size[0m not found in config.json. Falling back to [1mmax_position_embeddings[0m (2048) |
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[2024-06-04 20:08:25] INFO llama_model.py:72: [1mprefill_chunk_size[0m defaults to 2048 |
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[2024-06-04 20:08:25] INFO config.py:107: Overriding [1mmax_batch_size[0m from 1 to 80 |
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[2024-06-04 20:08:25] INFO gen_config.py:143: [generation_config.json] Setting [1mbos_token_id[0m: 1 |
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[2024-06-04 20:08:25] INFO gen_config.py:143: [generation_config.json] Setting [1meos_token_id[0m: 2 |
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[2024-06-04 20:08:25] INFO gen_config.py:143: [generation_config.json] Setting [1mpad_token_id[0m: 0 |
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[2024-06-04 20:08:25] INFO gen_config.py:155: [92mFound[0m tokenizer config: /models/TinyLlama-1.1B-Chat-v1.0/tokenizer.model. Copying to [1m/models/mlc-delivery/hf/mlc-ai/TinyLlama-1.1B-Chat-v1.0-q0f16-MLC/tokenizer.model[0m |
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[2024-06-04 20:08:25] INFO gen_config.py:155: [92mFound[0m tokenizer config: /models/TinyLlama-1.1B-Chat-v1.0/tokenizer.json. Copying to [1m/models/mlc-delivery/hf/mlc-ai/TinyLlama-1.1B-Chat-v1.0-q0f16-MLC/tokenizer.json[0m |
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[2024-06-04 20:08:25] INFO gen_config.py:157: [91mNot found[0m tokenizer config: /models/TinyLlama-1.1B-Chat-v1.0/vocab.json |
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[2024-06-04 20:08:25] INFO gen_config.py:155: [92mFound[0m tokenizer config: /models/TinyLlama-1.1B-Chat-v1.0/tokenizer_config.json. Copying to [1m/models/mlc-delivery/hf/mlc-ai/TinyLlama-1.1B-Chat-v1.0-q0f16-MLC/tokenizer_config.json[0m |
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[2024-06-04 20:08:25] INFO gen_config.py:216: Detected tokenizer info: {'token_postproc_method': 'byte_fallback', 'prepend_space_in_encode': True, 'strip_space_in_decode': True} |
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[2024-06-04 20:08:25] INFO gen_config.py:32: [System default] Setting [1mtemperature[0m: 1.0 |
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[2024-06-04 20:08:25] INFO gen_config.py:32: [System default] Setting [1mpresence_penalty[0m: 0.0 |
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[2024-06-04 20:08:25] INFO gen_config.py:223: Dumping configuration file to: [1m/models/mlc-delivery/hf/mlc-ai/TinyLlama-1.1B-Chat-v1.0-q0f16-MLC/mlc-chat-config.json[0m |
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/opt/conda/envs/py310/bin/python -m mlc_llm convert_weight /models/TinyLlama-1.1B-Chat-v1.0 --quantization q0f16 --output /models/mlc-delivery/hf/mlc-ai/TinyLlama-1.1B-Chat-v1.0-q0f16-MLC |
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[2024-06-04 20:08:27] INFO auto_config.py:116: [92mFound[0m model configuration: /models/TinyLlama-1.1B-Chat-v1.0/config.json |
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[2024-06-04 20:08:34] INFO auto_device.py:35: Using device: [1mcuda:0[0m |
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[2024-06-04 20:08:34] INFO auto_weight.py:71: Finding weights in: /models/TinyLlama-1.1B-Chat-v1.0 |
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[2024-06-04 20:08:34] INFO auto_weight.py:137: [91mNot found[0m Huggingface PyTorch |
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[2024-06-04 20:08:34] INFO auto_weight.py:144: [92mFound[0m source weight format: huggingface-safetensor. Source configuration: /models/TinyLlama-1.1B-Chat-v1.0/model.safetensors.index.json |
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[2024-06-04 20:08:34] INFO auto_weight.py:107: Using source weight configuration: [1m/models/TinyLlama-1.1B-Chat-v1.0/model.safetensors.index.json[0m. Use `--source` to override. |
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[2024-06-04 20:08:34] INFO auto_weight.py:111: Using source weight format: [1mhuggingface-safetensor[0m. Use `--source-format` to override. |
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[2024-06-04 20:08:34] INFO auto_config.py:154: [92mFound[0m model type: [1mllama[0m. Use `--model-type` to override. |
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[2024-06-04 20:08:34] INFO llama_model.py:52: [1mcontext_window_size[0m not found in config.json. Falling back to [1mmax_position_embeddings[0m (2048) |
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[2024-06-04 20:08:34] INFO llama_model.py:72: [1mprefill_chunk_size[0m defaults to 2048 |
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[1mWeight conversion with arguments:[0m |
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[1m--config[0m /models/TinyLlama-1.1B-Chat-v1.0/config.json |
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[1m--quantization[0m NoQuantize(name='q0f16', kind='no-quant', model_dtype='float16') |
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[1m--model-type[0m llama |
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[1m--device[0m cuda:0 |
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[1m--output[0m /models/mlc-delivery/hf/mlc-ai/TinyLlama-1.1B-Chat-v1.0-q0f16-MLC |
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37%|ββββ | 50/135 [00:08<00:05, 15.39it/s]
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39%|ββββ | 53/135 [00:08<00:05, 13.68it/s]
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41%|βββββ | 56/135 [00:08<00:04, 15.94it/s]
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44%|βββββ | 59/135 [00:08<00:05, 13.32it/s]
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46%|βββββ | 62/135 [00:08<00:04, 15.85it/s]
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48%|βββββ | 65/135 [00:09<00:05, 13.89it/s]
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50%|βββββ | 68/135 [00:09<00:04, 16.19it/s]
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53%|ββββββ | 71/135 [00:09<00:04, 13.33it/s]
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[2024-06-04 20:08:45] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.19.self_attn.o_proj.weight[0m", shape: (2048, 2048), dtype: float16 |
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[2024-06-04 20:08:48] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.7.post_attention_layernorm.weight[0m", shape: (2048,), dtype: float16 |
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[2024-06-04 20:08:48] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.7.self_attn.qkv_proj.weight[0m", shape: (2560, 2048), dtype: float16 |
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[2024-06-04 20:08:49] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.8.input_layernorm.weight[0m", shape: (2048,), dtype: float16 |
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[2024-06-04 20:08:49] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.8.mlp.down_proj.weight[0m", shape: (2048, 5632), dtype: float16 |
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[2024-06-04 20:08:49] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.8.mlp.gate_up_proj.weight[0m", shape: (11264, 2048), dtype: float16 |
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93%|ββββββββββ| 125/135 [00:13<00:00, 14.36it/s]
[2024-06-04 20:08:49] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.8.post_attention_layernorm.weight[0m", shape: (2048,), dtype: float16 |
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[2024-06-04 20:08:49] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.8.self_attn.qkv_proj.weight[0m", shape: (2560, 2048), dtype: float16 |
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[2024-06-04 20:08:49] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.8.self_attn.o_proj.weight[0m", shape: (2048, 2048), dtype: float16 |
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[2024-06-04 20:08:49] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.9.input_layernorm.weight[0m", shape: (2048,), dtype: float16 |
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[2024-06-04 20:08:49] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.9.mlp.down_proj.weight[0m", shape: (2048, 5632), dtype: float16 |
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[2024-06-04 20:08:49] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.9.mlp.gate_up_proj.weight[0m", shape: (11264, 2048), dtype: float16 |
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97%|ββββββββββ| 131/135 [00:13<00:00, 13.76it/s]
[2024-06-04 20:08:49] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.9.post_attention_layernorm.weight[0m", shape: (2048,), dtype: float16 |
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[2024-06-04 20:08:49] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.9.self_attn.qkv_proj.weight[0m", shape: (2560, 2048), dtype: float16 |
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[2024-06-04 20:08:49] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.9.self_attn.o_proj.weight[0m", shape: (2048, 2048), dtype: float16 |
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99%|ββββββββββ| 134/135 [00:13<00:00, 16.33it/s]
[2024-06-04 20:08:49] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.norm.weight[0m", shape: (2048,), dtype: float16 |
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100%|ββββββββββ| 135/135 [00:13<00:00, 9.82it/s] |
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[2024-06-04 20:08:49] INFO huggingface_loader.py:197: Unloading HF weight file: /models/TinyLlama-1.1B-Chat-v1.0/model.safetensors |
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[2024-06-04 20:08:50] INFO stats.py:77: [92mTime usage[0m: HF loading: 3.678 sec; Pre-quantization mapping: 4.070 sec; Quantization: 0.000 sec |
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[2024-06-04 20:08:50] INFO stats.py:91: [92mRAM usage[0m: Peak RAM: 4.098 GB. Total bytes loaded from disk: 4.098 GB |
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[2024-06-04 20:08:50] INFO convert_weight.py:155: [92mParameter size[0m after quantization: 2.049 GB |
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[2024-06-04 20:08:50] INFO convert_weight.py:160: [92mTotal parameters[0m: 1,100,048,384 |
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[2024-06-04 20:08:50] INFO convert_weight.py:161: [92mBits per parameter[0m: 16.000 |
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[2024-06-04 20:08:50] INFO convert_weight.py:166: Saved to directory: [1m/models/mlc-delivery/hf/mlc-ai/TinyLlama-1.1B-Chat-v1.0-q0f16-MLC[0m |
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All finished, 58 total shards committed, record saved to /models/mlc-delivery/hf/mlc-ai/TinyLlama-1.1B-Chat-v1.0-q0f16-MLC/ndarray-cache.json |
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