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TinyDolphin-2.8.2-1.1b-laser-q4f32_1-MLC / logs.txt
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/home/floriadmin/miniforge3/envs/mlc/bin/python -m mlc_llm gen_config /tmp/tmpo8_dluj_/repo --quantization q4f32_1 --conv-template chatml --output /tmp/tmpx3x6wnfw
[2024-03-19 01:27:45] INFO auto_config.py:115: Found model configuration: /tmp/tmpo8_dluj_/repo/config.json
[2024-03-19 01:27:45] INFO auto_config.py:153: Found model type: llama. Use `--model-type` to override.
[2024-03-19 01:27:45] INFO llama_model.py:52: context_window_size not found in config.json. Falling back to max_position_embeddings (4096)
[2024-03-19 01:27:45] INFO llama_model.py:72: prefill_chunk_size defaults to context_window_size (4096)
[2024-03-19 01:27:45] INFO config.py:106: Overriding max_batch_size from 1 to 80
[2024-03-19 01:27:45] INFO gen_config.py:133: [generation_config.json] Setting bos_token_id: 1
[2024-03-19 01:27:45] INFO gen_config.py:133: [generation_config.json] Setting eos_token_id: 2
[2024-03-19 01:27:45] INFO gen_config.py:133: [generation_config.json] Setting pad_token_id: 0
[2024-03-19 01:27:45] INFO gen_config.py:145: Found tokenizer config: /tmp/tmpo8_dluj_/repo/tokenizer.model. Copying to /tmp/tmpx3x6wnfw/tokenizer.model
[2024-03-19 01:27:45] INFO gen_config.py:145: Found tokenizer config: /tmp/tmpo8_dluj_/repo/tokenizer.json. Copying to /tmp/tmpx3x6wnfw/tokenizer.json
[2024-03-19 01:27:45] INFO gen_config.py:147: Not found tokenizer config: /tmp/tmpo8_dluj_/repo/vocab.json
[2024-03-19 01:27:45] INFO gen_config.py:147: Not found tokenizer config: /tmp/tmpo8_dluj_/repo/merges.txt
[2024-03-19 01:27:45] INFO gen_config.py:145: Found tokenizer config: /tmp/tmpo8_dluj_/repo/added_tokens.json. Copying to /tmp/tmpx3x6wnfw/added_tokens.json
[2024-03-19 01:27:45] INFO gen_config.py:145: Found tokenizer config: /tmp/tmpo8_dluj_/repo/tokenizer_config.json. Copying to /tmp/tmpx3x6wnfw/tokenizer_config.json
[2024-03-19 01:27:45] INFO gen_config.py:75: [System default] Setting temperature: 0.7
[2024-03-19 01:27:45] INFO gen_config.py:75: [System default] Setting presence_penalty: 0.0
[2024-03-19 01:27:45] INFO gen_config.py:75: [System default] Setting frequency_penalty: 0.0
[2024-03-19 01:27:45] INFO gen_config.py:75: [System default] Setting repetition_penalty: 1.0
[2024-03-19 01:27:45] INFO gen_config.py:75: [System default] Setting top_p: 0.95
[2024-03-19 01:27:45] INFO gen_config.py:75: [System default] Setting mean_gen_len: 128
[2024-03-19 01:27:45] INFO gen_config.py:75: [System default] Setting max_gen_len: 512
[2024-03-19 01:27:45] INFO gen_config.py:75: [System default] Setting shift_fill_factor: 0.3
[2024-03-19 01:27:45] INFO gen_config.py:198: Dumping configuration file to: /tmp/tmpx3x6wnfw/mlc-chat-config.json
/home/floriadmin/miniforge3/envs/mlc/bin/python -m mlc_llm convert_weight /tmp/tmpo8_dluj_/repo --quantization q4f32_1 --source-format auto --output /tmp/tmpx3x6wnfw
[2024-03-19 01:27:46] INFO auto_config.py:115: Found model configuration: /tmp/tmpo8_dluj_/repo/config.json
[2024-03-19 01:27:47] INFO auto_device.py:76: Found device: cuda:0
[2024-03-19 01:27:47] INFO auto_device.py:76: Found device: cuda:1
[2024-03-19 01:27:47] INFO auto_device.py:76: Found device: cuda:2
[2024-03-19 01:27:47] INFO auto_device.py:76: Found device: cuda:3
[2024-03-19 01:27:47] INFO auto_device.py:76: Found device: cuda:4
[2024-03-19 01:27:47] INFO auto_device.py:76: Found device: cuda:5
[2024-03-19 01:27:47] INFO auto_device.py:76: Found device: cuda:6
[2024-03-19 01:27:47] INFO auto_device.py:76: Found device: cuda:7
[2024-03-19 01:27:47] INFO auto_device.py:76: Found device: cuda:8
[2024-03-19 01:27:47] INFO auto_device.py:76: Found device: cuda:9
[2024-03-19 01:27:48] INFO auto_device.py:85: Not found device: rocm:0
[2024-03-19 01:27:49] INFO auto_device.py:85: Not found device: metal:0
[2024-03-19 01:27:52] INFO auto_device.py:76: Found device: vulkan:0
[2024-03-19 01:27:52] INFO auto_device.py:76: Found device: vulkan:1
[2024-03-19 01:27:52] INFO auto_device.py:76: Found device: vulkan:2
[2024-03-19 01:27:52] INFO auto_device.py:76: Found device: vulkan:3
[2024-03-19 01:27:52] INFO auto_device.py:76: Found device: vulkan:4
[2024-03-19 01:27:52] INFO auto_device.py:76: Found device: vulkan:5
[2024-03-19 01:27:52] INFO auto_device.py:76: Found device: vulkan:6
[2024-03-19 01:27:52] INFO auto_device.py:76: Found device: vulkan:7
[2024-03-19 01:27:52] INFO auto_device.py:76: Found device: vulkan:8
[2024-03-19 01:27:52] INFO auto_device.py:76: Found device: vulkan:9
[2024-03-19 01:27:52] INFO auto_device.py:76: Found device: vulkan:10
[2024-03-19 01:27:53] INFO auto_device.py:85: Not found device: opencl:0
[2024-03-19 01:27:53] INFO auto_device.py:33: Using device: cuda:0
[2024-03-19 01:27:53] INFO auto_weight.py:70: Finding weights in: /tmp/tmpo8_dluj_/repo
[2024-03-19 01:27:53] INFO auto_weight.py:136: Not found Huggingface PyTorch
[2024-03-19 01:27:54] INFO auto_weight.py:160: Found source weight format: huggingface-safetensor. Source configuration: /tmp/tmpo8_dluj_/repo/model.safetensors.index.json
[2024-03-19 01:27:54] INFO auto_weight.py:106: Using source weight configuration: /tmp/tmpo8_dluj_/repo/model.safetensors.index.json. Use `--source` to override.
[2024-03-19 01:27:54] INFO auto_weight.py:110: Using source weight format: huggingface-safetensor. Use `--source-format` to override.
[2024-03-19 01:27:54] INFO auto_config.py:153: Found model type: llama. Use `--model-type` to override.
[2024-03-19 01:27:54] INFO llama_model.py:52: context_window_size not found in config.json. Falling back to max_position_embeddings (4096)
[2024-03-19 01:27:54] INFO llama_model.py:72: prefill_chunk_size defaults to context_window_size (4096)
Weight conversion with arguments:
--config /tmp/tmpo8_dluj_/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', quantize_embedding=True, quantize_final_fc=True, num_elem_per_storage=8, num_storage_per_group=4, max_int_value=7)
--model-type llama
--device cuda:0
--source /tmp/tmpo8_dluj_/repo/model.safetensors.index.json
--source-format huggingface-safetensor
--output /tmp/tmpx3x6wnfw
Start storing to cache /tmp/tmpx3x6wnfw
0%| | 0/135 [00:00<?, ?it/s] [2024-03-19 01:27:55] INFO huggingface_loader.py:182: Loading HF parameters from: /tmp/tmpo8_dluj_/repo/model.safetensors
0%| | 0/135 [00:00<?, ?it/s] [2024-03-19 01:28:07] INFO group_quantization.py:232: Compiling quantize function for key: ((32002, 2048), float32, cuda, axis=1, output_transpose=False)
0%| | 0/135 [00:12<?, ?it/s] [2024-03-19 01:28:08] INFO huggingface_loader.py:164: [Quantized] Parameter: "lm_head.q_weight", shape: (32002, 256), dtype: uint32
0%| | 0/135 [00:13<?, ?it/s] [2024-03-19 01:28:09] INFO huggingface_loader.py:164: [Quantized] Parameter: "lm_head.q_scale", shape: (32002, 64), dtype: float32
0%| | 0/135 [00:13<?, ?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%|▌ | 1/135 [00:13<30:04, 13.46s/it] [2024-03-19 01:28:10] INFO huggingface_loader.py:164: [Quantized] Parameter: "model.embed_tokens.q_weight", shape: (32002, 256), dtype: uint32
1%|▌ | 1/135 [00:14<30:04, 13.46s/it] [2024-03-19 01:28:10] INFO huggingface_loader.py:164: [Quantized] Parameter: "model.embed_tokens.q_scale", shape: (32002, 64), dtype: float32
1%|▌ | 1/135 [00:14<30:04, 13.46s/it] 1%|█▏ | 2/135 [00:14<14:17, 6.45s/it] [2024-03-19 01:28:10] INFO huggingface_loader.py:172: [Not quantized] Parameter: "model.layers.0.input_layernorm.weight", shape: (2048,), dtype: float32
1%|█▏ | 2/135 [00:14<14:17, 6.45s/it] [2024-03-19 01:28:10] INFO group_quantization.py:232: Compiling quantize function for key: ((2048, 5632), float32, cuda, axis=1, output_transpose=False)
1%|█▏ | 2/135 [00:15<14:17, 6.45s/it] [2024-03-19 01:28:11] INFO huggingface_loader.py:164: [Quantized] Parameter: "model.layers.0.mlp.down_proj.q_weight", shape: (2048, 704), dtype: uint32
1%|█▏ | 2/135 [00:15<14:17, 6.45s/it] [2024-03-19 01:28:11] INFO huggingface_loader.py:164: [Quantized] Parameter: "model.layers.0.mlp.down_proj.q_scale", shape: (2048, 176), dtype: float32
1%|█▏ | 2/135 [00:15<14:17, 6.45s/it] 3%|██▎ | 4/135 [00:15<05:44, 2.63s/it] [2024-03-19 01:28:11] INFO group_quantization.py:232: Compiling quantize function for key: ((11264, 2048), float32, cuda, axis=1, output_transpose=False)
3%|██▎ | 4/135 [00:16<05:44, 2.63s/it] [2024-03-19 01:28:12] INFO huggingface_loader.py:164: [Quantized] Parameter: "model.layers.0.mlp.gate_up_proj.q_weight", shape: (11264, 256), dtype: uint32
3%|██▎ | 4/135 [00:16<05:44, 2.63s/it] [2024-03-19 01:28:12] INFO huggingface_loader.py:164: [Quantized] Parameter: "model.layers.0.mlp.gate_up_proj.q_scale", shape: (11264, 64), dtype: float32
3%|██▎ | 4/135 [00:16<05:44, 2.63s/it] 4%|██▉ | 5/135 [00:16<04:34, 2.11s/it] [2024-03-19 01:28:12] INFO huggingface_loader.py:172: [Not quantized] Parameter: "model.layers.0.post_attention_layernorm.weight", shape: (2048,), dtype: float32
4%|██▉ | 5/135 [00:16<04:34, 2.11s/it] [2024-03-19 01:28:12] INFO group_quantization.py:232: Compiling quantize function for key: ((2560, 2048), float32, cuda, axis=1, output_transpose=False)
4%|██▉ | 5/135 [00:16<04:34, 2.11s/it] [2024-03-19 01:28:12] INFO huggingface_loader.py:164: [Quantized] Parameter: "model.layers.0.self_attn.qkv_proj.q_weight", shape: (2560, 256), dtype: uint32
4%|██▉ | 5/135 [00:17<04:34, 2.11s/it] [2024-03-19 01:28:12] INFO huggingface_loader.py:164: [Quantized] Parameter: "model.layers.0.self_attn.qkv_proj.q_scale", shape: (2560, 64), dtype: float32
4%|██▉ | 5/135 [00:17<04:34, 2.11s/it] 5%|████▏ | 7/135 [00:17<02:38, 1.24s/it] [2024-03-19 01:28:12] INFO group_quantization.py:232: Compiling quantize function for key: ((2048, 2048), float32, cuda, axis=1, output_transpose=False)
5%|████▏ | 7/135 [00:17<02:38, 1.24s/it] [2024-03-19 01:28:13] INFO huggingface_loader.py:164: [Quantized] Parameter: "model.layers.0.self_attn.o_proj.q_weight", shape: (2048, 256), dtype: uint32
5%|████▏ | 7/135 [00:17<02:38, 1.24s/it] [2024-03-19 01:28:13] INFO huggingface_loader.py:164: [Quantized] Parameter: "model.layers.0.self_attn.o_proj.q_scale", shape: (2048, 64), dtype: float32
5%|████▏ | 7/135 [00:17<02:38, 1.24s/it] 6%|████▋ | 8/135 [00:17<02:13, 1.05s/it] [2024-03-19 01:28:13] INFO huggingface_loader.py:172: [Not quantized] Parameter: "model.layers.1.input_layernorm.weight", shape: (2048,), dtype: float32
6%|████▋ | 8/135 [00:17<02:13, 1.05s/it] [2024-03-19 01:28:13] INFO huggingface_loader.py:164: [Quantized] Parameter: "model.layers.1.mlp.down_proj.q_weight", shape: (2048, 704), dtype: uint32
6%|████▋ | 8/135 [00:17<02:13, 1.05s/it] [2024-03-19 01:28:13] INFO huggingface_loader.py:164: [Quantized] Parameter: "model.layers.1.mlp.down_proj.q_scale", shape: (2048, 176), dtype: float32
6%|████▋ | 8/135 [00:17<02:13, 1.05s/it] 7%|█████▊ | 10/135 [00:17<01:22, 1.51it/s] [2024-03-19 01:28:13] INFO huggingface_loader.py:164: [Quantized] Parameter: "model.layers.1.mlp.gate_up_proj.q_weight", shape: (11264, 256), dtype: uint32
7%|█████▊ | 10/135 [00:18<01:22, 1.51it/s] [2024-03-19 01:28:13] INFO huggingface_loader.py:164: [Quantized] Parameter: "model.layers.1.mlp.gate_up_proj.q_scale", shape: (11264, 64), dtype: float32
7%|█████▊ | 10/135 [00:18<01:22, 1.51it/s] 8%|██████▍ | 11/135 [00:18<01:13, 1.69it/s] [2024-03-19 01:28:14] INFO huggingface_loader.py:172: [Not quantized] Parameter: "model.layers.1.post_attention_layernorm.weight", shape: (2048,), dtype: float32
8%|██████▍ | 11/135 [00:18<01:13, 1.69it/s] [2024-03-19 01:28:14] INFO huggingface_loader.py:164: [Quantized] Parameter: "model.layers.1.self_attn.qkv_proj.q_weight", shape: (2560, 256), dtype: uint32
8%|██████▍ | 11/135 [00:18<01:13, 1.69it/s] [2024-03-19 01:28:14] INFO huggingface_loader.py:164: [Quantized] Parameter: "model.layers.1.self_attn.qkv_proj.q_scale", shape: (2560, 64), dtype: float32
8%|██████▍ | 11/135 [00:18<01:13, 1.69it/s] [2024-03-19 01:28:14] INFO huggingface_loader.py:164: [Quantized] Parameter: "model.layers.1.self_attn.o_proj.q_weight", shape: (2048, 256), dtype: uint32
8%|██████▍ | 11/135 [00:18<01:13, 1.69it/s] [2024-03-19 01:28:14] INFO huggingface_loader.py:164: [Quantized] Parameter: "model.layers.1.self_attn.o_proj.q_scale", shape: (2048, 64), dtype: float32
8%|██████▍ | 11/135 [00:18<01:13, 1.69it/s] 10%|████████▏ | 14/135 [00:18<00:38, 3.12it/s] [2024-03-19 01:28:14] INFO huggingface_loader.py:172: [Not quantized] Parameter: "model.layers.10.input_layernorm.weight", shape: (2048,), dtype: float32
10%|████████▏ | 14/135 [00:18<00:38, 3.12it/s] [2024-03-19 01:28:14] INFO huggingface_loader.py:164: [Quantized] Parameter: "model.layers.10.mlp.down_proj.q_weight", shape: (2048, 704), dtype: uint32
10%|████████▏ | 14/135 [00:18<00:38, 3.12it/s] [2024-03-19 01:28:14] INFO huggingface_loader.py:164: [Quantized] Parameter: "model.layers.10.mlp.down_proj.q_scale", shape: (2048, 176), dtype: float32
10%|████████▏ | 14/135 [00:18<00:38, 3.12it/s] 12%|█████████▎ | 16/135 [00:18<00:28, 4.12it/s] [2024-03-19 01:28:14] INFO huggingface_loader.py:164: [Quantized] Parameter: "model.layers.10.mlp.gate_up_proj.q_weight", shape: (11264, 256), dtype: uint32
12%|█████████▎ | 16/135 [00:18<00:28, 4.12it/s] [2024-03-19 01:28:14] INFO huggingface_loader.py:164: [Quantized] Parameter: "model.layers.10.mlp.gate_up_proj.q_scale", shape: (11264, 64), dtype: float32
12%|█████████▎ | 16/135 [00:18<00:28, 4.12it/s] [2024-03-19 01:28:14] INFO huggingface_loader.py:172: [Not quantized] Parameter: "model.layers.10.post_attention_layernorm.weight", shape: (2048,), dtype: float32
12%|█████████▎ | 16/135 [00:18<00:28, 4.12it/s] 13%|██████████▌ | 18/135 [00:18<00:27, 4.23it/s] [2024-03-19 01:28:14] INFO huggingface_loader.py:164: [Quantized] Parameter: "model.layers.10.self_attn.qkv_proj.q_weight", shape: (2560, 256), dtype: uint32
13%|██████████▌ | 18/135 [00:19<00:27, 4.23it/s] [2024-03-19 01:28:14] INFO huggingface_loader.py:164: [Quantized] Parameter: "model.layers.10.self_attn.qkv_proj.q_scale", shape: (2560, 64), dtype: float32
13%|██████████▌ | 18/135 [00:19<00:27, 4.23it/s] [2024-03-19 01:28:14] INFO huggingface_loader.py:164: [Quantized] Parameter: "model.layers.10.self_attn.o_proj.q_weight", shape: (2048, 256), dtype: uint32
13%|██████████▌ | 18/135 [00:19<00:27, 4.23it/s] [2024-03-19 01:28:14] INFO huggingface_loader.py:164: [Quantized] Parameter: "model.layers.10.self_attn.o_proj.q_scale", shape: (2048, 64), dtype: float32
13%|██████████▌ | 18/135 [00:19<00:27, 4.23it/s] 15%|███████████▋ | 20/135 [00:19<00:21, 5.40it/s] [2024-03-19 01:28:14] INFO huggingface_loader.py:172: [Not quantized] Parameter: "model.layers.11.input_layernorm.weight", shape: (2048,), dtype: float32
15%|███████████▋ | 20/135 [00:19<00:21, 5.40it/s] [2024-03-19 01:28:15] INFO huggingface_loader.py:164: [Quantized] Parameter: "model.layers.11.mlp.down_proj.q_weight", shape: (2048, 704), dtype: uint32
15%|███████████▋ | 20/135 [00:19<00:21, 5.40it/s] [2024-03-19 01:28:15] INFO huggingface_loader.py:164: [Quantized] Parameter: "model.layers.11.mlp.down_proj.q_scale", shape: (2048, 176), dtype: float32
15%|███████████▋ | 20/135 [00:19<00:21, 5.40it/s] 16%|████████████▊ | 22/135 [00:19<00:17, 6.55it/s] [2024-03-19 01:28:15] INFO huggingface_loader.py:164: [Quantized] Parameter: "model.layers.11.mlp.gate_up_proj.q_weight", shape: (11264, 256), dtype: uint32
16%|████████████▊ | 22/135 [00:19<00:17, 6.55it/s] [2024-03-19 01:28:15] INFO huggingface_loader.py:164: [Quantized] Parameter: "model.layers.11.mlp.gate_up_proj.q_scale", shape: (11264, 64), dtype: float32
16%|████████████▊ | 22/135 [00:19<00:17, 6.55it/s] [2024-03-19 01:28:15] INFO huggingface_loader.py:172: [Not quantized] Parameter: "model.layers.11.post_attention_layernorm.weight", shape: (2048,), dtype: float32
16%|████████████▊ | 22/135 [00:19<00:17, 6.55it/s] 18%|██████████████ | 24/135 [00:19<00:21, 5.26it/s] [2024-03-19 01:28:15] INFO huggingface_loader.py:164: [Quantized] Parameter: "model.layers.11.self_attn.qkv_proj.q_weight", shape: (2560, 256), dtype: uint32
18%|██████████████ | 24/135 [00:19<00:21, 5.26it/s] [2024-03-19 01:28:15] INFO huggingface_loader.py:164: [Quantized] Parameter: "model.layers.11.self_attn.qkv_proj.q_scale", shape: (2560, 64), dtype: float32
18%|██████████████ | 24/135 [00:19<00:21, 5.26it/s] [2024-03-19 01:28:15] INFO huggingface_loader.py:164: [Quantized] Parameter: "model.layers.11.self_attn.o_proj.q_weight", shape: (2048, 256), dtype: uint32
18%|██████████████ | 24/135 [00:19<00:21, 5.26it/s] [2024-03-19 01:28:15] INFO huggingface_loader.py:164: [Quantized] Parameter: "model.layers.11.self_attn.o_proj.q_scale", shape: (2048, 64), dtype: float32
18%|██████████████ | 24/135 [00:19<00:21, 5.26it/s] 19%|███████████████▏ | 26/135 [00:19<00:16, 6.56it/s] [2024-03-19 01:28:15] INFO huggingface_loader.py:172: [Not quantized] Parameter: "model.layers.12.input_layernorm.weight", shape: (2048,), dtype: float32
19%|███████████████▏ | 26/135 [00:19<00:16, 6.56it/s] [2024-03-19 01:28:15] INFO huggingface_loader.py:164: [Quantized] Parameter: "model.layers.12.mlp.down_proj.q_weight", shape: (2048, 704), dtype: uint32
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[2024-03-19 01:28:30] INFO huggingface_loader.py:194: Unloading HF weight file: /tmp/tmpo8_dluj_/repo/model.safetensors
[2024-03-19 01:28:30] INFO stats.py:76: Time usage: HF loading: 11.095 sec; Pre-quantization mapping: 5.531 sec; Quantization: 3.180 sec
[2024-03-19 01:28:30] INFO stats.py:90: RAM usage: Peak RAM: 4.098 GB. Total bytes loaded from disk: 4.098 GB
[2024-03-19 01:28:30] INFO convert_weight.py:156: Parameter size after quantization: 0.641 GB
[2024-03-19 01:28:30] INFO convert_weight.py:161: Total parameters: 1,100,056,576
[2024-03-19 01:28:30] INFO convert_weight.py:162: Bits per parameter: 5.002
[2024-03-19 01:28:30] INFO convert_weight.py:167: Saved to directory: /tmp/tmpx3x6wnfw
All finished, 24 total shards committed, record saved to /tmp/tmpx3x6wnfw/ndarray-cache.json
Also saved a bf16 record to /tmp/tmpx3x6wnfw/ndarray-cache-b16.json