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/usr/bin/python3 -m mlc_llm gen_config dist/models/stablelm-2-zephyr-1_6b --quantization q0f32 --conv-template stablelm-2 --output /tmp/tmpjjd44ai4 --context-window-size 4096
[2024-05-24 18:23:54] INFO auto_config.py:115: Found model configuration: dist/models/stablelm-2-zephyr-1_6b/config.json
[2024-05-24 18:23:54] INFO auto_config.py:153: Found model type: stablelm. Use `--model-type` to override.
[2024-05-24 18:23:54] INFO stablelm_model.py:49: context_window_size not found in config.json. Falling back to max_position_embeddings (4096)
[2024-05-24 18:23:54] INFO stablelm_model.py:66: prefill_chunk_size defaults to 2048
[2024-05-24 18:23:54] INFO config.py:106: Overriding context_window_size from 4096 to 4096
[2024-05-24 18:23:54] INFO config.py:106: Overriding max_batch_size from 1 to 80
[2024-05-24 18:23:54] INFO gen_config.py:255: [generation_config.json] Setting bos_token_id: 100257
[2024-05-24 18:23:54] INFO gen_config.py:255: [generation_config.json] Setting eos_token_id: 100257
[2024-05-24 18:23:54] INFO gen_config.py:269: Not found tokenizer config: dist/models/stablelm-2-zephyr-1_6b/tokenizer.model
[2024-05-24 18:23:54] INFO gen_config.py:267: Found tokenizer config: dist/models/stablelm-2-zephyr-1_6b/tokenizer.json. Copying to /tmp/tmpjjd44ai4/tokenizer.json
[2024-05-24 18:23:54] INFO gen_config.py:267: Found tokenizer config: dist/models/stablelm-2-zephyr-1_6b/vocab.json. Copying to /tmp/tmpjjd44ai4/vocab.json
[2024-05-24 18:23:54] INFO gen_config.py:267: Found tokenizer config: dist/models/stablelm-2-zephyr-1_6b/merges.txt. Copying to /tmp/tmpjjd44ai4/merges.txt
[2024-05-24 18:23:54] INFO gen_config.py:269: Not found tokenizer config: dist/models/stablelm-2-zephyr-1_6b/added_tokens.json
[2024-05-24 18:23:54] INFO gen_config.py:267: Found tokenizer config: dist/models/stablelm-2-zephyr-1_6b/tokenizer_config.json. Copying to /tmp/tmpjjd44ai4/tokenizer_config.json
[2024-05-24 18:23:54] INFO gen_config.py:80: [System default] Setting pad_token_id: 0
[2024-05-24 18:23:54] INFO gen_config.py:80: [System default] Setting temperature: 0.7
[2024-05-24 18:23:54] INFO gen_config.py:80: [System default] Setting presence_penalty: 0.0
[2024-05-24 18:23:54] INFO gen_config.py:80: [System default] Setting frequency_penalty: 0.0
[2024-05-24 18:23:54] INFO gen_config.py:80: [System default] Setting repetition_penalty: 1.0
[2024-05-24 18:23:54] INFO gen_config.py:80: [System default] Setting top_p: 0.95
[2024-05-24 18:23:54] INFO gen_config.py:80: [System default] Setting mean_gen_len: 128
[2024-05-24 18:23:54] INFO gen_config.py:80: [System default] Setting max_gen_len: 512
[2024-05-24 18:23:54] INFO gen_config.py:80: [System default] Setting shift_fill_factor: 0.3
[2024-05-24 18:23:54] INFO gen_config.py:335: Dumping configuration file to: /tmp/tmpjjd44ai4/mlc-chat-config.json
/usr/bin/python3 -m mlc_llm convert_weight dist/models/stablelm-2-zephyr-1_6b --quantization q0f32 --source-format auto --output /tmp/tmpjjd44ai4
[2024-05-24 18:23:55] INFO auto_config.py:115: Found model configuration: dist/models/stablelm-2-zephyr-1_6b/config.json
[2024-05-24 18:23:58] INFO auto_device.py:79: Found device: cuda:0
[2024-05-24 18:23:59] INFO auto_device.py:88: Not found device: rocm:0
[2024-05-24 18:24:00] INFO auto_device.py:88: Not found device: metal:0
[2024-05-24 18:24:01] INFO auto_device.py:88: Not found device: vulkan:0
[2024-05-24 18:24:01] INFO auto_device.py:88: Not found device: opencl:0
[2024-05-24 18:24:01] INFO auto_device.py:35: Using device: cuda:0
[2024-05-24 18:24:01] INFO auto_weight.py:70: Finding weights in: dist/models/stablelm-2-zephyr-1_6b
[2024-05-24 18:24:01] INFO auto_weight.py:136: Not found Huggingface PyTorch
[2024-05-24 18:24:01] INFO auto_weight.py:143: Found source weight format: huggingface-safetensor. Source configuration: dist/models/stablelm-2-zephyr-1_6b/model.safetensors.index.json
[2024-05-24 18:24:01] INFO auto_weight.py:106: Using source weight configuration: dist/models/stablelm-2-zephyr-1_6b/model.safetensors.index.json. Use `--source` to override.
[2024-05-24 18:24:01] INFO auto_weight.py:110: Using source weight format: huggingface-safetensor. Use `--source-format` to override.
[2024-05-24 18:24:01] INFO auto_config.py:153: Found model type: stablelm. Use `--model-type` to override.
[2024-05-24 18:24:01] INFO stablelm_model.py:49: context_window_size not found in config.json. Falling back to max_position_embeddings (4096)
[2024-05-24 18:24:01] INFO stablelm_model.py:66: prefill_chunk_size defaults to 2048
Weight conversion with arguments:
--config dist/models/stablelm-2-zephyr-1_6b/config.json
--quantization NoQuantize(name='q0f32', kind='no-quant', model_dtype='float32')
--model-type stablelm
--device cuda:0
--source dist/models/stablelm-2-zephyr-1_6b/model.safetensors.index.json
--source-format huggingface-safetensor
--output /tmp/tmpjjd44ai4
Start storing to cache /tmp/tmpjjd44ai4
0%| | 0/220 [00:00<?, ?it/s] [2024-05-24 18:24:03] INFO huggingface_loader.py:184: Loading HF parameters from: dist/models/stablelm-2-zephyr-1_6b/model.safetensors
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setattr(self, word, getattr(machar, word).flat[0])
/home/tlopex/.local/lib/python3.8/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)
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54%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 118/220 [00:21<00:11, 9.11it/s] 55%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 120/220 [00:21<00:09, 10.34it/s] [2024-05-24 18:24:24] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.20.input_layernorm.weight", shape: (2048,), dtype: float32
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55%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 122/220 [00:21<00:09, 10.71it/s] [2024-05-24 18:24:25] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.20.post_attention_layernorm.bias", shape: (2048,), dtype: float32
55%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 122/220 [00:21<00:09, 10.71it/s] 56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 124/220 [00:21<00:12, 7.76it/s] [2024-05-24 18:24:25] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.20.post_attention_layernorm.weight", shape: (2048,), dtype: float32
56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 124/220 [00:21<00:12, 7.76it/s] [2024-05-24 18:24:25] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.20.self_attn.qkv_proj.bias", shape: (6144,), dtype: float32
56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 124/220 [00:21<00:12, 7.76it/s] [2024-05-24 18:24:25] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.20.self_attn.qkv_proj.weight", shape: (6144, 2048), dtype: float32
56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 124/220 [00:21<00:12, 7.76it/s] 58%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 127/220 [00:22<00:10, 9.13it/s] [2024-05-24 18:24:25] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.20.self_attn.o_proj.weight", shape: (2048, 2048), dtype: float32
58%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 127/220 [00:22<00:10, 9.13it/s] [2024-05-24 18:24:25] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.21.input_layernorm.bias", shape: (2048,), dtype: float32
58%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 127/220 [00:22<00:10, 9.13it/s] 59%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 129/220 [00:22<00:08, 10.36it/s] [2024-05-24 18:24:25] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.21.input_layernorm.weight", shape: (2048,), dtype: float32
59%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 129/220 [00:22<00:08, 10.36it/s] [2024-05-24 18:24:25] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.21.mlp.down_proj.weight", shape: (2048, 5632), dtype: float32
59%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 129/220 [00:22<00:08, 10.36it/s] 60%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 131/220 [00:22<00:08, 10.73it/s] [2024-05-24 18:24:26] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.21.mlp.gate_up_proj.weight", shape: (11264, 2048), dtype: float32
60%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 131/220 [00:22<00:08, 10.73it/s] [2024-05-24 18:24:26] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.21.post_attention_layernorm.bias", shape: (2048,), dtype: float32
60%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 131/220 [00:22<00:08, 10.73it/s] 60%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 133/220 [00:22<00:11, 7.77it/s] [2024-05-24 18:24:26] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.21.post_attention_layernorm.weight", shape: (2048,), dtype: float32
60%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 133/220 [00:22<00:11, 7.77it/s] [2024-05-24 18:24:26] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.21.self_attn.qkv_proj.bias", shape: (6144,), dtype: float32
60%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 133/220 [00:22<00:11, 7.77it/s] [2024-05-24 18:24:26] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.21.self_attn.qkv_proj.weight", shape: (6144, 2048), dtype: float32
60%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 133/220 [00:22<00:11, 7.77it/s] 62%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 136/220 [00:23<00:09, 9.14it/s] [2024-05-24 18:24:26] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.21.self_attn.o_proj.weight", shape: (2048, 2048), dtype: float32
62%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 136/220 [00:23<00:09, 9.14it/s] [2024-05-24 18:24:26] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.22.input_layernorm.bias", shape: (2048,), dtype: float32
62%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 136/220 [00:23<00:09, 9.14it/s] 63%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 138/220 [00:23<00:07, 10.37it/s] [2024-05-24 18:24:26] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.22.input_layernorm.weight", shape: (2048,), dtype: float32
63%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 138/220 [00:23<00:07, 10.37it/s] [2024-05-24 18:24:26] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.22.mlp.down_proj.weight", shape: (2048, 5632), dtype: float32
63%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 138/220 [00:23<00:07, 10.37it/s] 64%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 140/220 [00:23<00:07, 10.74it/s] [2024-05-24 18:24:27] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.22.mlp.gate_up_proj.weight", shape: (11264, 2048), dtype: float32
64%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 140/220 [00:23<00:07, 10.74it/s] [2024-05-24 18:24:27] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.22.post_attention_layernorm.bias", shape: (2048,), dtype: float32
64%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 140/220 [00:23<00:07, 10.74it/s] 65%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 142/220 [00:23<00:10, 7.78it/s] [2024-05-24 18:24:27] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.22.post_attention_layernorm.weight", shape: (2048,), dtype: float32
65%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 142/220 [00:23<00:10, 7.78it/s] [2024-05-24 18:24:27] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.22.self_attn.qkv_proj.bias", shape: (6144,), dtype: float32
65%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 142/220 [00:23<00:10, 7.78it/s] [2024-05-24 18:24:27] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.22.self_attn.qkv_proj.weight", shape: (6144, 2048), dtype: float32
65%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 142/220 [00:23<00:10, 7.78it/s] 66%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 145/220 [00:24<00:08, 9.15it/s] [2024-05-24 18:24:27] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.22.self_attn.o_proj.weight", shape: (2048, 2048), dtype: float32
66%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 145/220 [00:24<00:08, 9.15it/s] [2024-05-24 18:24:27] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.23.input_layernorm.bias", shape: (2048,), dtype: float32
66%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 145/220 [00:24<00:08, 9.15it/s] 67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 147/220 [00:24<00:07, 10.38it/s] [2024-05-24 18:24:27] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.23.input_layernorm.weight", shape: (2048,), dtype: float32
67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 147/220 [00:24<00:07, 10.38it/s] [2024-05-24 18:24:27] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.23.mlp.down_proj.weight", shape: (2048, 5632), dtype: float32
67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 147/220 [00:24<00:07, 10.38it/s] 68%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 149/220 [00:24<00:06, 10.75it/s] [2024-05-24 18:24:27] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.23.mlp.gate_up_proj.weight", shape: (11264, 2048), dtype: float32
68%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 149/220 [00:24<00:06, 10.75it/s] [2024-05-24 18:24:28] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.23.post_attention_layernorm.bias", shape: (2048,), dtype: float32
68%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 149/220 [00:24<00:06, 10.75it/s] 69%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 151/220 [00:24<00:08, 7.78it/s] [2024-05-24 18:24:28] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.23.post_attention_layernorm.weight", shape: (2048,), dtype: float32
69%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 151/220 [00:24<00:08, 7.78it/s] [2024-05-24 18:24:28] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.23.self_attn.qkv_proj.bias", shape: (6144,), dtype: float32
69%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 151/220 [00:24<00:08, 7.78it/s] [2024-05-24 18:24:28] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.23.self_attn.qkv_proj.weight", shape: (6144, 2048), dtype: float32
69%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 151/220 [00:24<00:08, 7.78it/s] 70%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 154/220 [00:25<00:07, 9.12it/s] [2024-05-24 18:24:28] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.23.self_attn.o_proj.weight", shape: (2048, 2048), dtype: float32
70%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 154/220 [00:25<00:07, 9.12it/s] [2024-05-24 18:24:28] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.3.input_layernorm.bias", shape: (2048,), dtype: float32
70%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 154/220 [00:25<00:07, 9.12it/s] 71%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 156/220 [00:25<00:06, 10.37it/s] [2024-05-24 18:24:28] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.3.input_layernorm.weight", shape: (2048,), dtype: float32
71%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 156/220 [00:25<00:06, 10.37it/s] [2024-05-24 18:24:28] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.3.mlp.down_proj.weight", shape: (2048, 5632), dtype: float32
71%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 156/220 [00:25<00:06, 10.37it/s] 72%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 158/220 [00:25<00:05, 10.75it/s] [2024-05-24 18:24:28] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.3.mlp.gate_up_proj.weight", shape: (11264, 2048), dtype: float32
72%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 158/220 [00:25<00:05, 10.75it/s] [2024-05-24 18:24:29] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.3.post_attention_layernorm.bias", shape: (2048,), dtype: float32
72%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 158/220 [00:25<00:05, 10.75it/s] 73%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 160/220 [00:25<00:07, 7.77it/s] [2024-05-24 18:24:29] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.3.post_attention_layernorm.weight", shape: (2048,), dtype: float32
73%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 160/220 [00:25<00:07, 7.77it/s] [2024-05-24 18:24:29] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.3.self_attn.qkv_proj.bias", shape: (6144,), dtype: float32
73%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 160/220 [00:25<00:07, 7.77it/s] [2024-05-24 18:24:29] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.3.self_attn.qkv_proj.weight", shape: (6144, 2048), dtype: float32
73%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 160/220 [00:25<00:07, 7.77it/s] 74%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 163/220 [00:25<00:06, 9.13it/s] [2024-05-24 18:24:29] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.3.self_attn.o_proj.weight", shape: (2048, 2048), dtype: float32
74%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 163/220 [00:25<00:06, 9.13it/s] [2024-05-24 18:24:29] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.4.input_layernorm.bias", shape: (2048,), dtype: float32
74%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 163/220 [00:26<00:06, 9.13it/s] 75%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 165/220 [00:26<00:05, 10.37it/s] [2024-05-24 18:24:29] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.4.input_layernorm.weight", shape: (2048,), dtype: float32
75%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 165/220 [00:26<00:05, 10.37it/s] [2024-05-24 18:24:29] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.4.mlp.down_proj.weight", shape: (2048, 5632), dtype: float32
75%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 165/220 [00:26<00:05, 10.37it/s] 76%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 167/220 [00:26<00:04, 10.75it/s] [2024-05-24 18:24:29] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.4.mlp.gate_up_proj.weight", shape: (11264, 2048), dtype: float32
76%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 167/220 [00:26<00:04, 10.75it/s] [2024-05-24 18:24:30] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.4.post_attention_layernorm.bias", shape: (2048,), dtype: float32
76%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 167/220 [00:26<00:04, 10.75it/s] 77%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 169/220 [00:26<00:06, 7.77it/s] [2024-05-24 18:24:30] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.4.post_attention_layernorm.weight", shape: (2048,), dtype: float32
77%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 169/220 [00:26<00:06, 7.77it/s] [2024-05-24 18:24:30] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.4.self_attn.qkv_proj.bias", shape: (6144,), dtype: float32
77%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 169/220 [00:26<00:06, 7.77it/s] [2024-05-24 18:24:30] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.4.self_attn.qkv_proj.weight", shape: (6144, 2048), dtype: float32
77%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 169/220 [00:26<00:06, 7.77it/s] 78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 172/220 [00:26<00:05, 9.13it/s] [2024-05-24 18:24:30] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.4.self_attn.o_proj.weight", shape: (2048, 2048), dtype: float32
78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 172/220 [00:26<00:05, 9.13it/s] [2024-05-24 18:24:30] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.5.input_layernorm.bias", shape: (2048,), dtype: float32
78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 172/220 [00:27<00:05, 9.13it/s] 79%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 174/220 [00:27<00:04, 10.36it/s] [2024-05-24 18:24:30] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.5.input_layernorm.weight", shape: (2048,), dtype: float32
79%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 174/220 [00:27<00:04, 10.36it/s] [2024-05-24 18:24:30] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.5.mlp.down_proj.weight", shape: (2048, 5632), dtype: float32
79%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 174/220 [00:27<00:04, 10.36it/s] 80%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 176/220 [00:27<00:04, 10.74it/s] [2024-05-24 18:24:30] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.5.mlp.gate_up_proj.weight", shape: (11264, 2048), dtype: float32
80%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 176/220 [00:27<00:04, 10.74it/s] [2024-05-24 18:24:31] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.5.post_attention_layernorm.bias", shape: (2048,), dtype: float32
80%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 176/220 [00:27<00:04, 10.74it/s] 81%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 178/220 [00:27<00:05, 7.77it/s] [2024-05-24 18:24:31] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.5.post_attention_layernorm.weight", shape: (2048,), dtype: float32
81%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 178/220 [00:27<00:05, 7.77it/s] [2024-05-24 18:24:31] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.5.self_attn.qkv_proj.bias", shape: (6144,), dtype: float32
81%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 178/220 [00:27<00:05, 7.77it/s] [2024-05-24 18:24:31] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.5.self_attn.qkv_proj.weight", shape: (6144, 2048), dtype: float32
81%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 178/220 [00:27<00:05, 7.77it/s] 82%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 181/220 [00:27<00:04, 9.13it/s] [2024-05-24 18:24:31] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.5.self_attn.o_proj.weight", shape: (2048, 2048), dtype: float32
82%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 181/220 [00:27<00:04, 9.13it/s] [2024-05-24 18:24:31] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.6.input_layernorm.bias", shape: (2048,), dtype: float32
82%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 181/220 [00:28<00:04, 9.13it/s] 83%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 183/220 [00:28<00:03, 10.37it/s] [2024-05-24 18:24:31] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.6.input_layernorm.weight", shape: (2048,), dtype: float32
83%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 183/220 [00:28<00:03, 10.37it/s] [2024-05-24 18:24:31] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.6.mlp.down_proj.weight", shape: (2048, 5632), dtype: float32
83%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 183/220 [00:28<00:03, 10.37it/s] 84%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 185/220 [00:28<00:03, 10.73it/s] [2024-05-24 18:24:31] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.6.mlp.gate_up_proj.weight", shape: (11264, 2048), dtype: float32
84%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 185/220 [00:28<00:03, 10.73it/s] [2024-05-24 18:24:32] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.6.post_attention_layernorm.bias", shape: (2048,), dtype: float32
84%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 185/220 [00:28<00:03, 10.73it/s] 85%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 187/220 [00:28<00:04, 7.76it/s] [2024-05-24 18:24:32] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.6.post_attention_layernorm.weight", shape: (2048,), dtype: float32
85%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 187/220 [00:28<00:04, 7.76it/s] [2024-05-24 18:24:32] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.6.self_attn.qkv_proj.bias", shape: (6144,), dtype: float32
85%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 187/220 [00:28<00:04, 7.76it/s] [2024-05-24 18:24:32] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.6.self_attn.qkv_proj.weight", shape: (6144, 2048), dtype: float32
85%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 187/220 [00:28<00:04, 7.76it/s] 86%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 190/220 [00:28<00:03, 9.13it/s] [2024-05-24 18:24:32] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.6.self_attn.o_proj.weight", shape: (2048, 2048), dtype: float32
86%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 190/220 [00:28<00:03, 9.13it/s] [2024-05-24 18:24:32] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.7.input_layernorm.bias", shape: (2048,), dtype: float32
86%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 190/220 [00:28<00:03, 9.13it/s] 87%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 192/220 [00:28<00:02, 10.37it/s] [2024-05-24 18:24:32] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.7.input_layernorm.weight", shape: (2048,), dtype: float32
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87%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 192/220 [00:29<00:02, 10.37it/s] 88%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 194/220 [00:29<00:02, 10.73it/s] [2024-05-24 18:24:32] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.7.mlp.gate_up_proj.weight", shape: (11264, 2048), dtype: float32
88%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 194/220 [00:29<00:02, 10.73it/s] [2024-05-24 18:24:33] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.7.post_attention_layernorm.bias", shape: (2048,), dtype: float32
88%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 194/220 [00:29<00:02, 10.73it/s] 89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 196/220 [00:29<00:03, 7.77it/s] [2024-05-24 18:24:33] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.7.post_attention_layernorm.weight", shape: (2048,), dtype: float32
89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 196/220 [00:29<00:03, 7.77it/s] [2024-05-24 18:24:33] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.7.self_attn.qkv_proj.bias", shape: (6144,), dtype: float32
89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 196/220 [00:29<00:03, 7.77it/s] [2024-05-24 18:24:33] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.7.self_attn.qkv_proj.weight", shape: (6144, 2048), dtype: float32
89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 196/220 [00:29<00:03, 7.77it/s] 90%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 199/220 [00:29<00:02, 9.14it/s] [2024-05-24 18:24:33] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.7.self_attn.o_proj.weight", shape: (2048, 2048), dtype: float32
90%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 199/220 [00:29<00:02, 9.14it/s] [2024-05-24 18:24:33] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.8.input_layernorm.bias", shape: (2048,), dtype: float32
90%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 199/220 [00:29<00:02, 9.14it/s] 91%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 201/220 [00:29<00:01, 10.38it/s] [2024-05-24 18:24:33] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.8.input_layernorm.weight", shape: (2048,), dtype: float32
91%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 201/220 [00:29<00:01, 10.38it/s] [2024-05-24 18:24:33] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.8.mlp.down_proj.weight", shape: (2048, 5632), dtype: float32
91%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 201/220 [00:29<00:01, 10.38it/s] 92%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 203/220 [00:30<00:01, 10.74it/s] [2024-05-24 18:24:33] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.8.mlp.gate_up_proj.weight", shape: (11264, 2048), dtype: float32
92%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 203/220 [00:30<00:01, 10.74it/s] [2024-05-24 18:24:34] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.8.post_attention_layernorm.bias", shape: (2048,), dtype: float32
92%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 203/220 [00:30<00:01, 10.74it/s] 93%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž| 205/220 [00:30<00:01, 7.78it/s] [2024-05-24 18:24:34] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.8.post_attention_layernorm.weight", shape: (2048,), dtype: float32
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93%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž| 205/220 [00:30<00:01, 7.78it/s] 95%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 208/220 [00:30<00:01, 9.14it/s] [2024-05-24 18:24:34] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.8.self_attn.o_proj.weight", shape: (2048, 2048), dtype: float32
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97%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹| 214/220 [00:31<00:00, 7.56it/s] 99%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š| 217/220 [00:31<00:00, 8.96it/s] [2024-05-24 18:24:35] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.9.self_attn.o_proj.weight", shape: (2048, 2048), dtype: float32
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99%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š| 217/220 [00:31<00:00, 8.96it/s] 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰| 219/220 [00:31<00:00, 10.20it/s] [2024-05-24 18:24:35] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.norm.weight", shape: (2048,), dtype: float32
100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰| 219/220 [00:31<00:00, 10.20it/s] 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 220/220 [00:31<00:00, 6.90it/s]
[2024-05-24 18:24:35] INFO huggingface_loader.py:196: Unloading HF weight file: dist/models/stablelm-2-zephyr-1_6b/model.safetensors
[2024-05-24 18:24:35] INFO stats.py:76: Time usage: HF loading: 1.017 sec; Pre-quantization mapping: 5.571 sec; Quantization: 0.000 sec
[2024-05-24 18:24:35] INFO stats.py:90: RAM usage: Peak RAM: 3.063 GB. Total bytes loaded from disk: 3.063 GB
[2024-05-24 18:24:35] INFO convert_weight.py:155: Parameter size after quantization: 6.126 GB
[2024-05-24 18:24:35] INFO convert_weight.py:160: Total parameters: 1,644,515,328
[2024-05-24 18:24:35] INFO convert_weight.py:161: Bits per parameter: 32.000
[2024-05-24 18:24:35] INFO convert_weight.py:166: Saved to directory: /tmp/tmpjjd44ai4
All finished, 75 total shards committed, record saved to /tmp/tmpjjd44ai4/ndarray-cache.json
Also saved a bf16 record to /tmp/tmpjjd44ai4/ndarray-cache-b16.json