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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
[2024-06-04 20:08:25] INFO auto_config.py:116: Found model configuration: /models/TinyLlama-1.1B-Chat-v1.0/config.json
[2024-06-04 20:08:25] INFO auto_config.py:154: Found model type: llama. Use `--model-type` to override.
[2024-06-04 20:08:25] INFO llama_model.py:52: context_window_size not found in config.json. Falling back to max_position_embeddings (2048)
[2024-06-04 20:08:25] INFO llama_model.py:72: prefill_chunk_size defaults to 2048
[2024-06-04 20:08:25] INFO config.py:107: Overriding max_batch_size from 1 to 80
[2024-06-04 20:08:25] INFO gen_config.py:143: [generation_config.json] Setting bos_token_id: 1
[2024-06-04 20:08:25] INFO gen_config.py:143: [generation_config.json] Setting eos_token_id: 2
[2024-06-04 20:08:25] INFO gen_config.py:143: [generation_config.json] Setting pad_token_id: 0
[2024-06-04 20:08:25] INFO gen_config.py:155: Found tokenizer config: /models/TinyLlama-1.1B-Chat-v1.0/tokenizer.model. Copying to /models/mlc-delivery/hf/mlc-ai/TinyLlama-1.1B-Chat-v1.0-q0f16-MLC/tokenizer.model
[2024-06-04 20:08:25] INFO gen_config.py:155: Found tokenizer config: /models/TinyLlama-1.1B-Chat-v1.0/tokenizer.json. Copying to /models/mlc-delivery/hf/mlc-ai/TinyLlama-1.1B-Chat-v1.0-q0f16-MLC/tokenizer.json
[2024-06-04 20:08:25] INFO gen_config.py:157: Not found tokenizer config: /models/TinyLlama-1.1B-Chat-v1.0/vocab.json
[2024-06-04 20:08:25] INFO gen_config.py:157: Not found tokenizer config: /models/TinyLlama-1.1B-Chat-v1.0/merges.txt
[2024-06-04 20:08:25] INFO gen_config.py:157: Not found tokenizer config: /models/TinyLlama-1.1B-Chat-v1.0/added_tokens.json
[2024-06-04 20:08:25] INFO gen_config.py:155: Found tokenizer config: /models/TinyLlama-1.1B-Chat-v1.0/tokenizer_config.json. Copying to /models/mlc-delivery/hf/mlc-ai/TinyLlama-1.1B-Chat-v1.0-q0f16-MLC/tokenizer_config.json
[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}
[2024-06-04 20:08:25] INFO gen_config.py:32: [System default] Setting temperature: 1.0
[2024-06-04 20:08:25] INFO gen_config.py:32: [System default] Setting presence_penalty: 0.0
[2024-06-04 20:08:25] INFO gen_config.py:32: [System default] Setting frequency_penalty: 0.0
[2024-06-04 20:08:25] INFO gen_config.py:32: [System default] Setting repetition_penalty: 1.0
[2024-06-04 20:08:25] INFO gen_config.py:32: [System default] Setting top_p: 1.0
[2024-06-04 20:08:25] INFO gen_config.py:223: Dumping configuration file to: /models/mlc-delivery/hf/mlc-ai/TinyLlama-1.1B-Chat-v1.0-q0f16-MLC/mlc-chat-config.json
/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
[2024-06-04 20:08:27] INFO auto_config.py:116: Found model configuration: /models/TinyLlama-1.1B-Chat-v1.0/config.json
[2024-06-04 20:08:28] INFO auto_device.py:79: Found device: cuda:0
[2024-06-04 20:08:30] INFO auto_device.py:88: Not found device: rocm:0
[2024-06-04 20:08:31] INFO auto_device.py:88: Not found device: metal:0
[2024-06-04 20:08:33] INFO auto_device.py:79: Found device: vulkan:0
[2024-06-04 20:08:33] INFO auto_device.py:79: Found device: vulkan:1
[2024-06-04 20:08:33] INFO auto_device.py:79: Found device: vulkan:2
[2024-06-04 20:08:33] INFO auto_device.py:79: Found device: vulkan:3
[2024-06-04 20:08:34] INFO auto_device.py:88: Not found device: opencl:0
[2024-06-04 20:08:34] INFO auto_device.py:35: Using device: cuda:0
[2024-06-04 20:08:34] INFO auto_weight.py:71: Finding weights in: /models/TinyLlama-1.1B-Chat-v1.0
[2024-06-04 20:08:34] INFO auto_weight.py:137: Not found Huggingface PyTorch
[2024-06-04 20:08:34] INFO auto_weight.py:144: Found source weight format: huggingface-safetensor. Source configuration: /models/TinyLlama-1.1B-Chat-v1.0/model.safetensors.index.json
[2024-06-04 20:08:34] INFO auto_weight.py:107: Using source weight configuration: /models/TinyLlama-1.1B-Chat-v1.0/model.safetensors.index.json. Use `--source` to override.
[2024-06-04 20:08:34] INFO auto_weight.py:111: Using source weight format: huggingface-safetensor. Use `--source-format` to override.
[2024-06-04 20:08:34] INFO auto_config.py:154: Found model type: llama. Use `--model-type` to override.
[2024-06-04 20:08:34] INFO llama_model.py:52: context_window_size not found in config.json. Falling back to max_position_embeddings (2048)
[2024-06-04 20:08:34] INFO llama_model.py:72: prefill_chunk_size defaults to 2048
Weight conversion with arguments:
--config /models/TinyLlama-1.1B-Chat-v1.0/config.json
--quantization NoQuantize(name='q0f16', kind='no-quant', model_dtype='float16')
--model-type llama
--device cuda:0
--source /models/TinyLlama-1.1B-Chat-v1.0/model.safetensors.index.json
--source-format huggingface-safetensor
--output /models/mlc-delivery/hf/mlc-ai/TinyLlama-1.1B-Chat-v1.0-q0f16-MLC
Start storing to cache /models/mlc-delivery/hf/mlc-ai/TinyLlama-1.1B-Chat-v1.0-q0f16-MLC
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39%|β–ˆβ–ˆβ–ˆβ–‰ | 53/135 [00:08<00:05, 13.68it/s] 41%|β–ˆβ–ˆβ–ˆβ–ˆβ– | 56/135 [00:08<00:04, 15.94it/s] [2024-06-04 20:08:44] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.17.input_layernorm.weight", shape: (2048,), dtype: float16
41%|β–ˆβ–ˆβ–ˆβ–ˆβ– | 56/135 [00:08<00:04, 15.94it/s] [2024-06-04 20:08:44] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.17.mlp.down_proj.weight", shape: (2048, 5632), dtype: float16
41%|β–ˆβ–ˆβ–ˆβ–ˆβ– | 56/135 [00:08<00:04, 15.94it/s] [2024-06-04 20:08:44] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.17.mlp.gate_up_proj.weight", shape: (11264, 2048), dtype: float16
41%|β–ˆβ–ˆβ–ˆβ–ˆβ– | 56/135 [00:08<00:04, 15.94it/s] 44%|β–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 59/135 [00:08<00:05, 13.32it/s] [2024-06-04 20:08:44] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.17.post_attention_layernorm.weight", shape: (2048,), dtype: float16
44%|β–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 59/135 [00:08<00:05, 13.32it/s] [2024-06-04 20:08:44] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.17.self_attn.qkv_proj.weight", shape: (2560, 2048), dtype: float16
44%|β–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 59/135 [00:08<00:05, 13.32it/s] [2024-06-04 20:08:44] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.17.self_attn.o_proj.weight", shape: (2048, 2048), dtype: float16
44%|β–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 59/135 [00:08<00:05, 13.32it/s] 46%|β–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 62/135 [00:08<00:04, 15.85it/s] [2024-06-04 20:08:45] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.18.input_layernorm.weight", shape: (2048,), dtype: float16
46%|β–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 62/135 [00:08<00:04, 15.85it/s] [2024-06-04 20:08:45] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.18.mlp.down_proj.weight", shape: (2048, 5632), dtype: float16
46%|β–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 62/135 [00:08<00:04, 15.85it/s] [2024-06-04 20:08:45] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.18.mlp.gate_up_proj.weight", shape: (11264, 2048), dtype: float16
46%|β–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 62/135 [00:09<00:04, 15.85it/s] 48%|β–ˆβ–ˆβ–ˆβ–ˆβ–Š | 65/135 [00:09<00:05, 13.89it/s] [2024-06-04 20:08:45] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.18.post_attention_layernorm.weight", shape: (2048,), dtype: float16
48%|β–ˆβ–ˆβ–ˆβ–ˆβ–Š | 65/135 [00:09<00:05, 13.89it/s] [2024-06-04 20:08:45] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.18.self_attn.qkv_proj.weight", shape: (2560, 2048), dtype: float16
48%|β–ˆβ–ˆβ–ˆβ–ˆβ–Š | 65/135 [00:09<00:05, 13.89it/s] [2024-06-04 20:08:45] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.18.self_attn.o_proj.weight", shape: (2048, 2048), dtype: float16
48%|β–ˆβ–ˆβ–ˆβ–ˆβ–Š | 65/135 [00:09<00:05, 13.89it/s] 50%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 68/135 [00:09<00:04, 16.19it/s] [2024-06-04 20:08:45] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.19.input_layernorm.weight", shape: (2048,), dtype: float16
50%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 68/135 [00:09<00:04, 16.19it/s] [2024-06-04 20:08:45] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.19.mlp.down_proj.weight", shape: (2048, 5632), dtype: float16
50%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 68/135 [00:09<00:04, 16.19it/s] [2024-06-04 20:08:45] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.19.mlp.gate_up_proj.weight", shape: (11264, 2048), dtype: float16
50%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 68/135 [00:09<00:04, 16.19it/s] 53%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 71/135 [00:09<00:04, 13.33it/s] [2024-06-04 20:08:45] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.19.post_attention_layernorm.weight", shape: (2048,), dtype: float16
53%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 71/135 [00:09<00:04, 13.33it/s] [2024-06-04 20:08:45] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.19.self_attn.qkv_proj.weight", shape: (2560, 2048), dtype: float16
53%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 71/135 [00:09<00:04, 13.33it/s] [2024-06-04 20:08:45] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.19.self_attn.o_proj.weight", shape: (2048, 2048), dtype: float16
53%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 71/135 [00:09<00:04, 13.33it/s] 55%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 74/135 [00:09<00:03, 15.75it/s] [2024-06-04 20:08:45] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.2.input_layernorm.weight", shape: (2048,), dtype: float16
55%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 74/135 [00:09<00:03, 15.75it/s] [2024-06-04 20:08:45] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.2.mlp.down_proj.weight", shape: (2048, 5632), dtype: float16
55%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 74/135 [00:09<00:03, 15.75it/s] [2024-06-04 20:08:46] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.2.mlp.gate_up_proj.weight", shape: (11264, 2048), dtype: float16
55%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 74/135 [00:09<00:03, 15.75it/s] 57%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 77/135 [00:10<00:04, 13.94it/s] [2024-06-04 20:08:46] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.2.post_attention_layernorm.weight", shape: (2048,), dtype: float16
57%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 77/135 [00:10<00:04, 13.94it/s] [2024-06-04 20:08:46] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.2.self_attn.qkv_proj.weight", shape: (2560, 2048), dtype: float16
57%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 77/135 [00:10<00:04, 13.94it/s] [2024-06-04 20:08:46] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.2.self_attn.o_proj.weight", shape: (2048, 2048), dtype: float16
57%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 77/135 [00:10<00:04, 13.94it/s] 59%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 80/135 [00:10<00:03, 16.18it/s] [2024-06-04 20:08:46] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.20.input_layernorm.weight", shape: (2048,), dtype: float16
59%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 80/135 [00:10<00:03, 16.18it/s] [2024-06-04 20:08:46] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.20.mlp.down_proj.weight", shape: (2048, 5632), dtype: float16
59%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 80/135 [00:10<00:03, 16.18it/s] [2024-06-04 20:08:46] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.20.mlp.gate_up_proj.weight", shape: (11264, 2048), dtype: float16
59%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 80/135 [00:10<00:03, 16.18it/s] 61%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 83/135 [00:10<00:03, 13.47it/s] [2024-06-04 20:08:46] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.20.post_attention_layernorm.weight", shape: (2048,), dtype: float16
61%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 83/135 [00:10<00:03, 13.47it/s] [2024-06-04 20:08:46] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.20.self_attn.qkv_proj.weight", shape: (2560, 2048), dtype: float16
61%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 83/135 [00:10<00:03, 13.47it/s] [2024-06-04 20:08:46] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.20.self_attn.o_proj.weight", shape: (2048, 2048), dtype: float16
61%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 83/135 [00:10<00:03, 13.47it/s] 64%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 86/135 [00:10<00:03, 15.99it/s] [2024-06-04 20:08:46] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.21.input_layernorm.weight", shape: (2048,), dtype: float16
64%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 86/135 [00:10<00:03, 15.99it/s] [2024-06-04 20:08:46] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.21.mlp.down_proj.weight", shape: (2048, 5632), dtype: float16
64%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 86/135 [00:10<00:03, 15.99it/s] [2024-06-04 20:08:46] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.21.mlp.gate_up_proj.weight", shape: (11264, 2048), dtype: float16
64%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 86/135 [00:10<00:03, 15.99it/s] 66%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 89/135 [00:10<00:03, 13.88it/s] [2024-06-04 20:08:46] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.21.post_attention_layernorm.weight", shape: (2048,), dtype: float16
66%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 89/135 [00:10<00:03, 13.88it/s] [2024-06-04 20:08:46] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.21.self_attn.qkv_proj.weight", shape: (2560, 2048), dtype: float16
66%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 89/135 [00:10<00:03, 13.88it/s] [2024-06-04 20:08:47] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.21.self_attn.o_proj.weight", shape: (2048, 2048), dtype: float16
66%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 89/135 [00:10<00:03, 13.88it/s] 68%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 92/135 [00:10<00:02, 16.18it/s] [2024-06-04 20:08:47] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.3.input_layernorm.weight", shape: (2048,), dtype: float16
68%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 92/135 [00:10<00:02, 16.18it/s] [2024-06-04 20:08:47] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.3.mlp.down_proj.weight", shape: (2048, 5632), dtype: float16
68%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 92/135 [00:10<00:02, 16.18it/s] [2024-06-04 20:08:47] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.3.mlp.gate_up_proj.weight", shape: (11264, 2048), dtype: float16
68%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 92/135 [00:11<00:02, 16.18it/s] 70%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 95/135 [00:11<00:02, 13.39it/s] [2024-06-04 20:08:47] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.3.post_attention_layernorm.weight", shape: (2048,), dtype: float16
70%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 95/135 [00:11<00:02, 13.39it/s] [2024-06-04 20:08:47] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.3.self_attn.qkv_proj.weight", shape: (2560, 2048), dtype: float16
70%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 95/135 [00:11<00:02, 13.39it/s] [2024-06-04 20:08:47] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.3.self_attn.o_proj.weight", shape: (2048, 2048), dtype: float16
70%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 95/135 [00:11<00:02, 13.39it/s] 73%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 98/135 [00:11<00:02, 15.88it/s] [2024-06-04 20:08:47] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.4.input_layernorm.weight", shape: (2048,), dtype: float16
73%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 98/135 [00:11<00:02, 15.88it/s] [2024-06-04 20:08:47] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.4.mlp.down_proj.weight", shape: (2048, 5632), dtype: float16
73%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 98/135 [00:11<00:02, 15.88it/s] [2024-06-04 20:08:47] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.4.mlp.gate_up_proj.weight", shape: (11264, 2048), dtype: float16
73%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 98/135 [00:11<00:02, 15.88it/s] 75%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 101/135 [00:11<00:02, 14.11it/s] [2024-06-04 20:08:47] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.4.post_attention_layernorm.weight", shape: (2048,), dtype: float16
75%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 101/135 [00:11<00:02, 14.11it/s] [2024-06-04 20:08:47] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.4.self_attn.qkv_proj.weight", shape: (2560, 2048), dtype: float16
75%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 101/135 [00:11<00:02, 14.11it/s] [2024-06-04 20:08:47] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.4.self_attn.o_proj.weight", shape: (2048, 2048), dtype: float16
75%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 101/135 [00:11<00:02, 14.11it/s] 77%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 104/135 [00:11<00:01, 16.40it/s] [2024-06-04 20:08:47] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.5.input_layernorm.weight", shape: (2048,), dtype: float16
77%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 104/135 [00:11<00:01, 16.40it/s] [2024-06-04 20:08:47] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.5.mlp.down_proj.weight", shape: (2048, 5632), dtype: float16
77%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 104/135 [00:11<00:01, 16.40it/s] [2024-06-04 20:08:48] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.5.mlp.gate_up_proj.weight", shape: (11264, 2048), dtype: float16
77%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 104/135 [00:11<00:01, 16.40it/s] 79%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 107/135 [00:12<00:02, 13.62it/s] [2024-06-04 20:08:48] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.5.post_attention_layernorm.weight", shape: (2048,), dtype: float16
79%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 107/135 [00:12<00:02, 13.62it/s] [2024-06-04 20:08:48] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.5.self_attn.qkv_proj.weight", shape: (2560, 2048), dtype: float16
79%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 107/135 [00:12<00:02, 13.62it/s] [2024-06-04 20:08:48] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.5.self_attn.o_proj.weight", shape: (2048, 2048), dtype: float16
79%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 107/135 [00:12<00:02, 13.62it/s] 81%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 110/135 [00:12<00:01, 16.17it/s] [2024-06-04 20:08:48] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.6.input_layernorm.weight", shape: (2048,), dtype: float16
81%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 110/135 [00:12<00:01, 16.17it/s] [2024-06-04 20:08:48] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.6.mlp.down_proj.weight", shape: (2048, 5632), dtype: float16
81%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 110/135 [00:12<00:01, 16.17it/s] [2024-06-04 20:08:48] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.6.mlp.gate_up_proj.weight", shape: (11264, 2048), dtype: float16
81%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 110/135 [00:12<00:01, 16.17it/s] 84%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 113/135 [00:12<00:01, 14.29it/s] [2024-06-04 20:08:48] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.6.post_attention_layernorm.weight", shape: (2048,), dtype: float16
84%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 113/135 [00:12<00:01, 14.29it/s] [2024-06-04 20:08:48] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.6.self_attn.qkv_proj.weight", shape: (2560, 2048), dtype: float16
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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
[2024-06-04 20:08:50] INFO stats.py:77: Time usage: HF loading: 3.678 sec; Pre-quantization mapping: 4.070 sec; Quantization: 0.000 sec
[2024-06-04 20:08:50] INFO stats.py:91: RAM usage: Peak RAM: 4.098 GB. Total bytes loaded from disk: 4.098 GB
[2024-06-04 20:08:50] INFO convert_weight.py:155: Parameter size after quantization: 2.049 GB
[2024-06-04 20:08:50] INFO convert_weight.py:160: Total parameters: 1,100,048,384
[2024-06-04 20:08:50] INFO convert_weight.py:161: Bits per parameter: 16.000
[2024-06-04 20:08:50] INFO convert_weight.py:166: Saved to directory: /models/mlc-delivery/hf/mlc-ai/TinyLlama-1.1B-Chat-v1.0-q0f16-MLC
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