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 /home/floriadmin/miniforge3/envs/mlc/bin/python -m mlc_llm gen_config ../dist/models/Qwen1.5-1.8B --quantization q8f32_1 --conv-template chatml --output /tmp/tmpnawifqwj
[2024-03-18 19:06:21] INFO auto_config.py:115: Found model configuration: ../dist/models/Qwen1.5-1.8B/config.json
[2024-03-18 19:06:21] INFO auto_config.py:153: Found model type: qwen2. Use `--model-type` to override.
[2024-03-18 19:06:21] INFO qwen2_model.py:46: context_window_size not found in config.json. Falling back to max_position_embeddings (32768)
[2024-03-18 19:06:21] INFO qwen2_model.py:60: prefill_chunk_size defaults to context_window_size (32768)
[2024-03-18 19:06:21] WARNING config.py:99: Warning: Cannot override max_batch_size, because QWen2Config does not have this field
[2024-03-18 19:06:21] INFO gen_config.py:133: [generation_config.json] Setting bos_token_id: 151643
[2024-03-18 19:06:21] INFO gen_config.py:133: [generation_config.json] Setting eos_token_id: 151643
[2024-03-18 19:06:21] INFO gen_config.py:147: Not found tokenizer config: ../dist/models/Qwen1.5-1.8B/tokenizer.model
[2024-03-18 19:06:21] INFO gen_config.py:145: Found tokenizer config: ../dist/models/Qwen1.5-1.8B/tokenizer.json. Copying to /tmp/tmpnawifqwj/tokenizer.json
[2024-03-18 19:06:21] INFO gen_config.py:145: Found tokenizer config: ../dist/models/Qwen1.5-1.8B/vocab.json. Copying to /tmp/tmpnawifqwj/vocab.json
[2024-03-18 19:06:21] INFO gen_config.py:145: Found tokenizer config: ../dist/models/Qwen1.5-1.8B/merges.txt. Copying to /tmp/tmpnawifqwj/merges.txt
[2024-03-18 19:06:21] INFO gen_config.py:147: Not found tokenizer config: ../dist/models/Qwen1.5-1.8B/added_tokens.json
[2024-03-18 19:06:21] INFO gen_config.py:145: Found tokenizer config: ../dist/models/Qwen1.5-1.8B/tokenizer_config.json. Copying to /tmp/tmpnawifqwj/tokenizer_config.json
[2024-03-18 19:06:21] INFO gen_config.py:75: [System default] Setting pad_token_id: 0
[2024-03-18 19:06:21] INFO gen_config.py:75: [System default] Setting temperature: 0.7
[2024-03-18 19:06:21] INFO gen_config.py:75: [System default] Setting presence_penalty: 0.0
[2024-03-18 19:06:21] INFO gen_config.py:75: [System default] Setting frequency_penalty: 0.0
[2024-03-18 19:06:21] INFO gen_config.py:75: [System default] Setting repetition_penalty: 1.0
[2024-03-18 19:06:21] INFO gen_config.py:75: [System default] Setting top_p: 0.95
[2024-03-18 19:06:21] INFO gen_config.py:75: [System default] Setting mean_gen_len: 128
[2024-03-18 19:06:21] INFO gen_config.py:75: [System default] Setting max_gen_len: 512
[2024-03-18 19:06:21] INFO gen_config.py:75: [System default] Setting shift_fill_factor: 0.3
[2024-03-18 19:06:21] INFO gen_config.py:198: Dumping configuration file to: /tmp/tmpnawifqwj/mlc-chat-config.json
/home/floriadmin/miniforge3/envs/mlc/bin/python -m mlc_llm convert_weight ../dist/models/Qwen1.5-1.8B --quantization q8f32_1 --source-format auto --output /tmp/tmpnawifqwj
[2024-03-18 19:06:22] INFO auto_config.py:115: Found model configuration: ../dist/models/Qwen1.5-1.8B/config.json
[2024-03-18 19:06:22] INFO auto_device.py:76: Found device: cuda:0
[2024-03-18 19:06:22] INFO auto_device.py:76: Found device: cuda:1
[2024-03-18 19:06:22] INFO auto_device.py:76: Found device: cuda:2
[2024-03-18 19:06:22] INFO auto_device.py:76: Found device: cuda:3
[2024-03-18 19:06:22] INFO auto_device.py:76: Found device: cuda:4
[2024-03-18 19:06:22] INFO auto_device.py:76: Found device: cuda:5
[2024-03-18 19:06:22] INFO auto_device.py:76: Found device: cuda:6
[2024-03-18 19:06:22] INFO auto_device.py:76: Found device: cuda:7
[2024-03-18 19:06:22] INFO auto_device.py:76: Found device: cuda:8
[2024-03-18 19:06:22] INFO auto_device.py:76: Found device: cuda:9
[2024-03-18 19:06:23] INFO auto_device.py:85: Not found device: rocm:0
[2024-03-18 19:06:24] INFO auto_device.py:85: Not found device: metal:0
[2024-03-18 19:06:26] INFO auto_device.py:76: Found device: vulkan:0
[2024-03-18 19:06:26] INFO auto_device.py:76: Found device: vulkan:1
[2024-03-18 19:06:26] INFO auto_device.py:76: Found device: vulkan:2
[2024-03-18 19:06:26] INFO auto_device.py:76: Found device: vulkan:3
[2024-03-18 19:06:26] INFO auto_device.py:76: Found device: vulkan:4
[2024-03-18 19:06:26] INFO auto_device.py:76: Found device: vulkan:5
[2024-03-18 19:06:26] INFO auto_device.py:76: Found device: vulkan:6
[2024-03-18 19:06:26] INFO auto_device.py:76: Found device: vulkan:7
[2024-03-18 19:06:26] INFO auto_device.py:76: Found device: vulkan:8
[2024-03-18 19:06:26] INFO auto_device.py:76: Found device: vulkan:9
[2024-03-18 19:06:26] INFO auto_device.py:76: Found device: vulkan:10
[2024-03-18 19:06:27] INFO auto_device.py:85: Not found device: opencl:0
[2024-03-18 19:06:27] INFO auto_device.py:33: Using device: cuda:0
[2024-03-18 19:06:27] INFO auto_weight.py:70: Finding weights in: ../dist/models/Qwen1.5-1.8B
[2024-03-18 19:06:27] INFO auto_weight.py:136: Not found Huggingface PyTorch
[2024-03-18 19:06:27] INFO auto_weight.py:143: Found source weight format: huggingface-safetensor. Source configuration: ../dist/models/Qwen1.5-1.8B/model.safetensors.index.json
[2024-03-18 19:06:27] INFO auto_weight.py:106: Using source weight configuration: ../dist/models/Qwen1.5-1.8B/model.safetensors.index.json. Use `--source` to override.
[2024-03-18 19:06:27] INFO auto_weight.py:110: Using source weight format: huggingface-safetensor. Use `--source-format` to override.
[2024-03-18 19:06:27] INFO auto_config.py:153: Found model type: qwen2. Use `--model-type` to override.
[2024-03-18 19:06:27] INFO qwen2_model.py:46: context_window_size not found in config.json. Falling back to max_position_embeddings (32768)
[2024-03-18 19:06:27] INFO qwen2_model.py:60: prefill_chunk_size defaults to context_window_size (32768)
Weight conversion with arguments:
--config ../dist/models/Qwen1.5-1.8B/config.json
--quantization GroupQuantize(name='q8f32_1', kind='group-quant', group_size=32, quantize_dtype='int8', storage_dtype='uint32', model_dtype='float32', linear_weight_layout='NK', quantize_embedding=True, quantize_final_fc=True, num_elem_per_storage=4, num_storage_per_group=8, max_int_value=127)
--model-type qwen2
--device cuda:0
--source ../dist/models/Qwen1.5-1.8B/model.safetensors.index.json
--source-format huggingface-safetensor
--output /tmp/tmpnawifqwj
Start storing to cache /tmp/tmpnawifqwj
0%| | 0/171 [00:00<?, ?it/s] [2024-03-18 19:06:29] INFO huggingface_loader.py:182: Loading HF parameters from: ../dist/models/Qwen1.5-1.8B/model.safetensors
0%| | 0/171 [00:00<?, ?it/s] [2024-03-18 19:06:35] INFO group_quantization.py:232: Compiling quantize function for key: ((151936, 2048), float32, cuda, axis=1, output_transpose=False)
0%| | 0/171 [00:05<?, ?it/s] [2024-03-18 19:06:36] INFO huggingface_loader.py:164: [Quantized] Parameter: "lm_head.q_weight", shape: (151936, 512), dtype: uint32
0%| | 0/171 [00:06<?, ?it/s] [2024-03-18 19:06:37] INFO huggingface_loader.py:164: [Quantized] Parameter: "lm_head.q_scale", shape: (151936, 64), dtype: float32
0%| | 0/171 [00:08<?, ?it/s]/home/floriadmin/miniforge3/envs/mlc/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/floriadmin/miniforge3/envs/mlc/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)
1%|▌ | 1/171 [00:08<23:16, 8.21s/it] [2024-03-18 19:06:41] INFO huggingface_loader.py:164: [Quantized] Parameter: "model.embed_tokens.q_weight", shape: (151936, 512), dtype: uint32
1%|▌ | 1/171 [00:11<23:16, 8.21s/it] [2024-03-18 19:06:42] INFO huggingface_loader.py:164: [Quantized] Parameter: "model.embed_tokens.q_scale", shape: (151936, 64), dtype: float32
1%|▌ | 1/171 [00:13<23:16, 8.21s/it] 1%|█ | 2/171 [00:13<18:15, 6.48s/it] [2024-03-18 19:06:43] INFO huggingface_loader.py:172: [Not quantized] Parameter: "model.layers.0.input_layernorm.weight", shape: (2048,), dtype: float32
1%|█ | 2/171 [00:13<18:15, 6.48s/it] [2024-03-18 19:06:43] INFO group_quantization.py:232: Compiling quantize function for key: ((2048, 5504), float32, cuda, axis=1, output_transpose=False)
1%|█ | 2/171 [00:13<18:15, 6.48s/it] [2024-03-18 19:06:43] INFO huggingface_loader.py:164: [Quantized] Parameter: "model.layers.0.mlp.down_proj.q_weight", shape: (2048, 1376), dtype: uint32
1%|█ | 2/171 [00:14<18:15, 6.48s/it] [2024-03-18 19:06:43] INFO huggingface_loader.py:164: [Quantized] Parameter: "model.layers.0.mlp.down_proj.q_scale", shape: (2048, 172), dtype: float32
1%|█ | 2/171 [00:14<18:15, 6.48s/it] 2%|██▏ | 4/171 [00:14<07:17, 2.62s/it] [2024-03-18 19:06:44] INFO group_quantization.py:232: Compiling quantize function for key: ((11008, 2048), float32, cuda, axis=1, output_transpose=False)
2%|██▏ | 4/171 [00:14<07:17, 2.62s/it] [2024-03-18 19:06:44] INFO huggingface_loader.py:164: [Quantized] Parameter: "model.layers.0.mlp.gate_up_proj.q_weight", shape: (11008, 512), dtype: uint32
2%|██▏ | 4/171 [00:14<07:17, 2.62s/it] [2024-03-18 19:06:44] INFO huggingface_loader.py:164: [Quantized] Parameter: "model.layers.0.mlp.gate_up_proj.q_scale", shape: (11008, 64), dtype: float32
2%|██▏ | 4/171 [00:14<07:17, 2.62s/it] 3%|██▋ | 5/171 [00:14<05:43, 2.07s/it] [2024-03-18 19:06:44] INFO huggingface_loader.py:172: [Not quantized] Parameter: "model.layers.0.post_attention_layernorm.weight", shape: (2048,), dtype: float32
3%|██▋ | 5/171 [00:14<05:43, 2.07s/it] [2024-03-18 19:06:44] INFO huggingface_loader.py:172: [Not quantized] Parameter: "model.layers.0.self_attn.c_attn.bias", shape: (6144,), dtype: float32
3%|██▋ | 5/171 [00:14<05:43, 2.07s/it] [2024-03-18 19:06:44] INFO group_quantization.py:232: Compiling quantize function for key: ((6144, 2048), float32, cuda, axis=1, output_transpose=False)
3%|██▋ | 5/171 [00:15<05:43, 2.07s/it] [2024-03-18 19:06:45] INFO huggingface_loader.py:164: [Quantized] Parameter: "model.layers.0.self_attn.c_attn.q_weight", shape: (6144, 512), dtype: uint32
3%|██▋ | 5/171 [00:15<05:43, 2.07s/it] [2024-03-18 19:06:45] INFO huggingface_loader.py:164: [Quantized] Parameter: "model.layers.0.self_attn.c_attn.q_scale", shape: (6144, 64), dtype: float32
3%|██▋ | 5/171 [00:15<05:43, 2.07s/it] 5%|████▎ | 8/171 [00:15<02:45, 1.02s/it] [2024-03-18 19:06:45] INFO group_quantization.py:232: Compiling quantize function for key: ((2048, 2048), float32, cuda, axis=1, output_transpose=False)
5%|████▎ | 8/171 [00:15<02:45, 1.02s/it] [2024-03-18 19:06:45] INFO huggingface_loader.py:164: [Quantized] Parameter: "model.layers.0.self_attn.o_proj.q_weight", shape: (2048, 512), dtype: uint32
5%|████▎ | 8/171 [00:16<02:45, 1.02s/it] [2024-03-18 19:06:45] INFO huggingface_loader.py:164: [Quantized] Parameter: "model.layers.0.self_attn.o_proj.q_scale", shape: (2048, 64), dtype: float32
5%|████▎ | 8/171 [00:16<02:45, 1.02s/it] 5%|████▊ | 9/171 [00:16<02:25, 1.11it/s] [2024-03-18 19:06:45] INFO huggingface_loader.py:172: [Not quantized] Parameter: "model.layers.1.input_layernorm.weight", shape: (2048,), dtype: float32
5%|████▊ | 9/171 [00:16<02:25, 1.11it/s] [2024-03-18 19:06:45] INFO huggingface_loader.py:164: [Quantized] Parameter: "model.layers.1.mlp.down_proj.q_weight", shape: (2048, 1376), dtype: uint32
5%|████▊ | 9/171 [00:16<02:25, 1.11it/s] [2024-03-18 19:06:45] INFO huggingface_loader.py:164: [Quantized] Parameter: "model.layers.1.mlp.down_proj.q_scale", shape: (2048, 172), dtype: float32
5%|████▊ | 9/171 [00:16<02:25, 1.11it/s] 6%|█████▊ | 11/171 [00:16<01:34, 1.69it/s] [2024-03-18 19:06:46] INFO huggingface_loader.py:164: [Quantized] Parameter: "model.layers.1.mlp.gate_up_proj.q_weight", shape: (11008, 512), dtype: uint32
6%|█████▊ | 11/171 [00:16<01:34, 1.69it/s] [2024-03-18 19:06:46] INFO huggingface_loader.py:164: [Quantized] Parameter: "model.layers.1.mlp.gate_up_proj.q_scale", shape: (11008, 64), dtype: float32
6%|█████▊ | 11/171 [00:16<01:34, 1.69it/s] 7%|██████▍ | 12/171 [00:16<01:28, 1.80it/s] [2024-03-18 19:06:46] INFO huggingface_loader.py:172: [Not quantized] Parameter: "model.layers.1.post_attention_layernorm.weight", shape: (2048,), dtype: float32
7%|██████▍ | 12/171 [00:16<01:28, 1.80it/s] [2024-03-18 19:06:46] INFO huggingface_loader.py:172: [Not quantized] Parameter: "model.layers.1.self_attn.c_attn.bias", shape: (6144,), dtype: float32
7%|██████▍ | 12/171 [00:16<01:28, 1.80it/s] [2024-03-18 19:06:46] INFO huggingface_loader.py:164: [Quantized] Parameter: "model.layers.1.self_attn.c_attn.q_weight", shape: (6144, 512), dtype: uint32
7%|██████▍ | 12/171 [00:16<01:28, 1.80it/s] [2024-03-18 19:06:46] INFO huggingface_loader.py:164: [Quantized] Parameter: "model.layers.1.self_attn.c_attn.q_scale", shape: (6144, 64), dtype: float32
7%|██████▍ | 12/171 [00:16<01:28, 1.80it/s] 9%|███████▉ | 15/171 [00:16<00:51, 3.01it/s] [2024-03-18 19:06:46] INFO huggingface_loader.py:164: [Quantized] Parameter: "model.layers.1.self_attn.o_proj.q_weight", shape: (2048, 512), dtype: uint32
9%|███████▉ | 15/171 [00:17<00:51, 3.01it/s] [2024-03-18 19:06:46] INFO huggingface_loader.py:164: [Quantized] Parameter: "model.layers.1.self_attn.o_proj.q_scale", shape: (2048, 64), dtype: float32
9%|███████▉ | 15/171 [00:17<00:51, 3.01it/s] [2024-03-18 19:06:46] INFO huggingface_loader.py:172: [Not quantized] Parameter: "model.layers.10.input_layernorm.weight", shape: (2048,), dtype: float32
9%|███████▉ | 15/171 [00:17<00:51, 3.01it/s] [2024-03-18 19:06:46] INFO huggingface_loader.py:164: [Quantized] Parameter: "model.layers.10.mlp.down_proj.q_weight", shape: (2048, 1376), dtype: uint32
9%|███████▉ | 15/171 [00:17<00:51, 3.01it/s] [2024-03-18 19:06:46] INFO huggingface_loader.py:164: [Quantized] Parameter: "model.layers.10.mlp.down_proj.q_scale", shape: (2048, 172), dtype: float32
9%|███████▉ | 15/171 [00:17<00:51, 3.01it/s] 11%|█████████▌ | 18/171 [00:17<00:35, 4.36it/s] [2024-03-18 19:06:47] INFO huggingface_loader.py:164: [Quantized] Parameter: "model.layers.10.mlp.gate_up_proj.q_weight", shape: (11008, 512), dtype: uint32
11%|█████████▌ | 18/171 [00:17<00:35, 4.36it/s] [2024-03-18 19:06:47] INFO huggingface_loader.py:164: [Quantized] Parameter: "model.layers.10.mlp.gate_up_proj.q_scale", shape: (11008, 64), dtype: float32
11%|█████████▌ | 18/171 [00:17<00:35, 4.36it/s] 11%|██████████ | 19/171 [00:17<00:38, 3.92it/s] [2024-03-18 19:06:47] INFO huggingface_loader.py:172: [Not quantized] Parameter: "model.layers.10.post_attention_layernorm.weight", shape: (2048,), dtype: float32
11%|██████████ | 19/171 [00:17<00:38, 3.92it/s] [2024-03-18 19:06:47] INFO huggingface_loader.py:172: [Not quantized] Parameter: "model.layers.10.self_attn.c_attn.bias", shape: (6144,), dtype: float32
11%|██████████ | 19/171 [00:17<00:38, 3.92it/s] [2024-03-18 19:06:47] INFO huggingface_loader.py:164: [Quantized] Parameter: "model.layers.10.self_attn.c_attn.q_weight", shape: (6144, 512), dtype: uint32
11%|██████████ | 19/171 [00:17<00:38, 3.92it/s] [2024-03-18 19:06:47] INFO huggingface_loader.py:164: [Quantized] Parameter: "model.layers.10.self_attn.c_attn.q_scale", shape: (6144, 64), dtype: float32
11%|██████████ | 19/171 [00:17<00:38, 3.92it/s] 13%|███████████▋ | 22/171 [00:17<00:27, 5.36it/s] [2024-03-18 19:06:47] INFO huggingface_loader.py:164: [Quantized] Parameter: "model.layers.10.self_attn.o_proj.q_weight", shape: (2048, 512), dtype: uint32
13%|███████████▋ | 22/171 [00:17<00:27, 5.36it/s] [2024-03-18 19:06:47] INFO huggingface_loader.py:164: [Quantized] Parameter: "model.layers.10.self_attn.o_proj.q_scale", shape: (2048, 64), dtype: float32
13%|███████████▋ | 22/171 [00:17<00:27, 5.36it/s] [2024-03-18 19:06:47] INFO huggingface_loader.py:172: [Not quantized] Parameter: "model.layers.11.input_layernorm.weight", shape: (2048,), dtype: float32
13%|███████████▋ | 22/171 [00:17<00:27, 5.36it/s] [2024-03-18 19:06:47] INFO huggingface_loader.py:164: [Quantized] Parameter: "model.layers.11.mlp.down_proj.q_weight", shape: (2048, 1376), dtype: uint32
13%|███████████▋ | 22/171 [00:18<00:27, 5.36it/s] [2024-03-18 19:06:47] INFO huggingface_loader.py:164: [Quantized] Parameter: "model.layers.11.mlp.down_proj.q_scale", shape: (2048, 172), dtype: float32
13%|███████████▋ | 22/171 [00:18<00:27, 5.36it/s] 15%|█████████████▎ | 25/171 [00:18<00:21, 6.89it/s] [2024-03-18 19:06:48] INFO huggingface_loader.py:164: [Quantized] Parameter: "model.layers.11.mlp.gate_up_proj.q_weight", shape: (11008, 512), dtype: uint32
15%|█████████████▎ | 25/171 [00:18<00:21, 6.89it/s] [2024-03-18 19:06:48] INFO huggingface_loader.py:164: [Quantized] Parameter: "model.layers.11.mlp.gate_up_proj.q_scale", shape: (11008, 64), dtype: float32
15%|█████████████▎ | 25/171 [00:18<00:21, 6.89it/s] 15%|█████████████▊ | 26/171 [00:18<00:26, 5.52it/s] [2024-03-18 19:06:48] INFO huggingface_loader.py:172: [Not quantized] Parameter: "model.layers.11.post_attention_layernorm.weight", shape: (2048,), dtype: float32
15%|█████████████▊ | 26/171 [00:18<00:26, 5.52it/s] [2024-03-18 19:06:48] INFO huggingface_loader.py:172: [Not quantized] Parameter: "model.layers.11.self_attn.c_attn.bias", shape: (6144,), dtype: float32
15%|█████████████▊ | 26/171 [00:18<00:26, 5.52it/s] [2024-03-18 19:06:48] INFO huggingface_loader.py:164: [Quantized] Parameter: "model.layers.11.self_attn.c_attn.q_weight", shape: (6144, 512), dtype: uint32
15%|█████████████▊ | 26/171 [00:18<00:26, 5.52it/s] [2024-03-18 19:06:48] INFO huggingface_loader.py:164: [Quantized] Parameter: "model.layers.11.self_attn.c_attn.q_scale", shape: (6144, 64), dtype: float32
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[2024-03-18 19:07:05] INFO huggingface_loader.py:194: Unloading HF weight file: ../dist/models/Qwen1.5-1.8B/model.safetensors
[2024-03-18 19:07:06] INFO stats.py:76: Time usage: HF loading: 2.175 sec; Pre-quantization mapping: 1.753 sec; Quantization: 2.717 sec
[2024-03-18 19:07:06] INFO stats.py:90: RAM usage: Peak RAM: 6.843 GB. Total bytes loaded from disk: 6.843 GB
[2024-03-18 19:07:06] INFO convert_weight.py:156: Parameter size after quantization: 1.925 GB
[2024-03-18 19:07:06] INFO convert_weight.py:161: Total parameters: 1,836,828,672
[2024-03-18 19:07:06] INFO convert_weight.py:162: Bits per parameter: 9.003
[2024-03-18 19:07:06] INFO convert_weight.py:167: Saved to directory: /tmp/tmpnawifqwj
All finished, 52 total shards committed, record saved to /tmp/tmpnawifqwj/ndarray-cache.json
Also saved a bf16 record to /tmp/tmpnawifqwj/ndarray-cache-b16.json