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/usr/bin/python3 -m mlc_llm gen_config dist/models/stablelm-2-zephyr-1_6b --quantization q0f16 --conv-template stablelm-2 --output /tmp/tmp0hr_icqn --context-window-size 4096
[2024-05-24 18:20:49] INFO auto_config.py:115: Found model configuration: dist/models/stablelm-2-zephyr-1_6b/config.json
[2024-05-24 18:20:49] INFO auto_config.py:153: Found model type: stablelm. Use `--model-type` to override.
[2024-05-24 18:20:49] INFO stablelm_model.py:49: context_window_size not found in config.json. Falling back to max_position_embeddings (4096)
[2024-05-24 18:20:49] INFO stablelm_model.py:66: prefill_chunk_size defaults to 2048
[2024-05-24 18:20:49] INFO config.py:106: Overriding context_window_size from 4096 to 4096
[2024-05-24 18:20:49] INFO config.py:106: Overriding max_batch_size from 1 to 80
[2024-05-24 18:20:49] INFO gen_config.py:255: [generation_config.json] Setting bos_token_id: 100257
[2024-05-24 18:20:49] INFO gen_config.py:255: [generation_config.json] Setting eos_token_id: 100257
[2024-05-24 18:20:49] INFO gen_config.py:269: Not found tokenizer config: dist/models/stablelm-2-zephyr-1_6b/tokenizer.model
[2024-05-24 18:20:49] INFO gen_config.py:267: Found tokenizer config: dist/models/stablelm-2-zephyr-1_6b/tokenizer.json. Copying to /tmp/tmp0hr_icqn/tokenizer.json
[2024-05-24 18:20:49] INFO gen_config.py:267: Found tokenizer config: dist/models/stablelm-2-zephyr-1_6b/vocab.json. Copying to /tmp/tmp0hr_icqn/vocab.json
[2024-05-24 18:20:49] INFO gen_config.py:267: Found tokenizer config: dist/models/stablelm-2-zephyr-1_6b/merges.txt. Copying to /tmp/tmp0hr_icqn/merges.txt
[2024-05-24 18:20:49] INFO gen_config.py:269: Not found tokenizer config: dist/models/stablelm-2-zephyr-1_6b/added_tokens.json
[2024-05-24 18:20:49] INFO gen_config.py:267: Found tokenizer config: dist/models/stablelm-2-zephyr-1_6b/tokenizer_config.json. Copying to /tmp/tmp0hr_icqn/tokenizer_config.json
[2024-05-24 18:20:49] INFO gen_config.py:80: [System default] Setting pad_token_id: 0
[2024-05-24 18:20:49] INFO gen_config.py:80: [System default] Setting temperature: 0.7
[2024-05-24 18:20:49] INFO gen_config.py:80: [System default] Setting presence_penalty: 0.0
[2024-05-24 18:20:49] INFO gen_config.py:80: [System default] Setting frequency_penalty: 0.0
[2024-05-24 18:20:49] INFO gen_config.py:80: [System default] Setting repetition_penalty: 1.0
[2024-05-24 18:20:49] INFO gen_config.py:80: [System default] Setting top_p: 0.95
[2024-05-24 18:20:49] INFO gen_config.py:80: [System default] Setting mean_gen_len: 128
[2024-05-24 18:20:49] INFO gen_config.py:80: [System default] Setting max_gen_len: 512
[2024-05-24 18:20:49] INFO gen_config.py:80: [System default] Setting shift_fill_factor: 0.3
[2024-05-24 18:20:49] INFO gen_config.py:335: Dumping configuration file to: /tmp/tmp0hr_icqn/mlc-chat-config.json
/usr/bin/python3 -m mlc_llm convert_weight dist/models/stablelm-2-zephyr-1_6b --quantization q0f16 --source-format auto --output /tmp/tmp0hr_icqn
[2024-05-24 18:20:50] INFO auto_config.py:115: Found model configuration: dist/models/stablelm-2-zephyr-1_6b/config.json
[2024-05-24 18:20:53] INFO auto_device.py:79: Found device: cuda:0
[2024-05-24 18:20:54] INFO auto_device.py:88: Not found device: rocm:0
[2024-05-24 18:20:55] INFO auto_device.py:88: Not found device: metal:0
[2024-05-24 18:20:56] INFO auto_device.py:88: Not found device: vulkan:0
[2024-05-24 18:20:56] INFO auto_device.py:88: Not found device: opencl:0
[2024-05-24 18:20:56] INFO auto_device.py:35: Using device: cuda:0
[2024-05-24 18:20:56] INFO auto_weight.py:70: Finding weights in: dist/models/stablelm-2-zephyr-1_6b
[2024-05-24 18:20:56] INFO auto_weight.py:136: Not found Huggingface PyTorch
[2024-05-24 18:20:56] 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 18:20:56] 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 18:20:56] INFO auto_weight.py:110: Using source weight format: huggingface-safetensor. Use `--source-format` to override.
[2024-05-24 18:20:56] INFO auto_config.py:153: Found model type: stablelm. Use `--model-type` to override.
[2024-05-24 18:20:56] INFO stablelm_model.py:49: context_window_size not found in config.json. Falling back to max_position_embeddings (4096)
[2024-05-24 18:20:56] 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='q0f16', kind='no-quant', model_dtype='float16')
--model-type stablelm
--device cuda:0
--source dist/models/stablelm-2-zephyr-1_6b/model.safetensors.index.json
--source-format huggingface-safetensor
--output /tmp/tmp0hr_icqn
Start storing to cache /tmp/tmp0hr_icqn
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58%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 128/220 [00:10<00:04, 19.55it/s] 60%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 132/220 [00:10<00:04, 18.48it/s] [2024-05-24 18:21:09] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.21.post_attention_layernorm.bias", shape: (2048,), dtype: float16
60%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 132/220 [00:10<00:04, 18.48it/s] [2024-05-24 18:21:09] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.21.post_attention_layernorm.weight", shape: (2048,), dtype: float16
60%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 132/220 [00:10<00:04, 18.48it/s] [2024-05-24 18:21:09] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.21.self_attn.qkv_proj.bias", shape: (6144,), dtype: float16
60%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 132/220 [00:10<00:04, 18.48it/s] [2024-05-24 18:21:09] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.21.self_attn.qkv_proj.weight", shape: (6144, 2048), dtype: float16
60%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 132/220 [00:10<00:04, 18.48it/s] 62%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 136/220 [00:10<00:03, 22.05it/s] [2024-05-24 18:21:09] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.21.self_attn.o_proj.weight", shape: (2048, 2048), dtype: float16
62%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 136/220 [00:10<00:03, 22.05it/s] [2024-05-24 18:21:09] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.22.input_layernorm.bias", shape: (2048,), dtype: float16
62%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 136/220 [00:10<00:03, 22.05it/s] [2024-05-24 18:21:09] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.22.input_layernorm.weight", shape: (2048,), dtype: float16
62%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 136/220 [00:10<00:03, 22.05it/s] [2024-05-24 18:21:09] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.22.mlp.down_proj.weight", shape: (2048, 5632), dtype: float16
62%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 136/220 [00:10<00:03, 22.05it/s] 64%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 140/220 [00:10<00:03, 24.17it/s] [2024-05-24 18:21:09] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.22.mlp.gate_up_proj.weight", shape: (11264, 2048), dtype: float16
64%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 140/220 [00:10<00:03, 24.17it/s] [2024-05-24 18:21:09] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.22.post_attention_layernorm.bias", shape: (2048,), dtype: float16
64%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 140/220 [00:11<00:03, 24.17it/s] [2024-05-24 18:21:09] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.22.post_attention_layernorm.weight", shape: (2048,), dtype: float16
64%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 140/220 [00:11<00:03, 24.17it/s] 65%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 143/220 [00:11<00:03, 21.03it/s] [2024-05-24 18:21:09] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.22.self_attn.qkv_proj.bias", shape: (6144,), dtype: float16
65%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 143/220 [00:11<00:03, 21.03it/s] [2024-05-24 18:21:09] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.22.self_attn.qkv_proj.weight", shape: (6144, 2048), dtype: float16
65%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 143/220 [00:11<00:03, 21.03it/s] [2024-05-24 18:21:09] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.22.self_attn.o_proj.weight", shape: (2048, 2048), dtype: float16
65%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 143/220 [00:11<00:03, 21.03it/s] 66%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 146/220 [00:11<00:03, 19.45it/s] [2024-05-24 18:21:09] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.23.input_layernorm.bias", shape: (2048,), dtype: float16
66%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 146/220 [00:11<00:03, 19.45it/s] [2024-05-24 18:21:09] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.23.input_layernorm.weight", shape: (2048,), dtype: float16
66%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 146/220 [00:11<00:03, 19.45it/s] [2024-05-24 18:21:09] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.23.mlp.down_proj.weight", shape: (2048, 5632), dtype: float16
66%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 146/220 [00:11<00:03, 19.45it/s] [2024-05-24 18:21:09] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.23.mlp.gate_up_proj.weight", shape: (11264, 2048), dtype: float16
66%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 146/220 [00:11<00:03, 19.45it/s] 68%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 150/220 [00:11<00:03, 18.35it/s] [2024-05-24 18:21:09] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.23.post_attention_layernorm.bias", shape: (2048,), dtype: float16
68%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 150/220 [00:11<00:03, 18.35it/s] [2024-05-24 18:21:10] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.23.post_attention_layernorm.weight", shape: (2048,), dtype: float16
68%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 150/220 [00:11<00:03, 18.35it/s] [2024-05-24 18:21:10] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.23.self_attn.qkv_proj.bias", shape: (6144,), dtype: float16
68%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 150/220 [00:11<00:03, 18.35it/s] [2024-05-24 18:21:10] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.23.self_attn.qkv_proj.weight", shape: (6144, 2048), dtype: float16
68%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 150/220 [00:11<00:03, 18.35it/s] 70%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 154/220 [00:11<00:03, 22.00it/s] [2024-05-24 18:21:10] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.23.self_attn.o_proj.weight", shape: (2048, 2048), dtype: float16
70%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 154/220 [00:11<00:03, 22.00it/s] [2024-05-24 18:21:10] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.3.input_layernorm.bias", shape: (2048,), dtype: float16
70%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 154/220 [00:11<00:03, 22.00it/s] [2024-05-24 18:21:10] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.3.input_layernorm.weight", shape: (2048,), dtype: float16
70%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 154/220 [00:11<00:03, 22.00it/s] [2024-05-24 18:21:10] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.3.mlp.down_proj.weight", shape: (2048, 5632), dtype: float16
70%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 154/220 [00:11<00:03, 22.00it/s] 72%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 158/220 [00:11<00:02, 24.12it/s] [2024-05-24 18:21:10] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.3.mlp.gate_up_proj.weight", shape: (11264, 2048), dtype: float16
72%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 158/220 [00:11<00:02, 24.12it/s] [2024-05-24 18:21:10] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.3.post_attention_layernorm.bias", shape: (2048,), dtype: float16
72%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 158/220 [00:11<00:02, 24.12it/s] [2024-05-24 18:21:10] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.3.post_attention_layernorm.weight", shape: (2048,), dtype: float16
72%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 158/220 [00:11<00:02, 24.12it/s] 73%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 161/220 [00:11<00:02, 20.97it/s] [2024-05-24 18:21:10] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.3.self_attn.qkv_proj.bias", shape: (6144,), dtype: float16
73%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 161/220 [00:11<00:02, 20.97it/s] [2024-05-24 18:21:10] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.3.self_attn.qkv_proj.weight", shape: (6144, 2048), dtype: float16
73%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 161/220 [00:11<00:02, 20.97it/s] [2024-05-24 18:21:10] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.3.self_attn.o_proj.weight", shape: (2048, 2048), dtype: float16
73%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 161/220 [00:12<00:02, 20.97it/s] 75%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 164/220 [00:12<00:02, 19.43it/s] [2024-05-24 18:21:10] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.4.input_layernorm.bias", shape: (2048,), dtype: float16
75%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 164/220 [00:12<00:02, 19.43it/s] [2024-05-24 18:21:10] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.4.input_layernorm.weight", shape: (2048,), dtype: float16
75%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 164/220 [00:12<00:02, 19.43it/s] [2024-05-24 18:21:10] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.4.mlp.down_proj.weight", shape: (2048, 5632), dtype: float16
75%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 164/220 [00:12<00:02, 19.43it/s] [2024-05-24 18:21:10] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.4.mlp.gate_up_proj.weight", shape: (11264, 2048), dtype: float16
75%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 164/220 [00:12<00:02, 19.43it/s] 76%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 168/220 [00:12<00:02, 18.41it/s] [2024-05-24 18:21:10] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.4.post_attention_layernorm.bias", shape: (2048,), dtype: float16
76%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 168/220 [00:12<00:02, 18.41it/s] [2024-05-24 18:21:10] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.4.post_attention_layernorm.weight", shape: (2048,), dtype: float16
76%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 168/220 [00:12<00:02, 18.41it/s] [2024-05-24 18:21:10] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.4.self_attn.qkv_proj.bias", shape: (6144,), dtype: float16
76%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 168/220 [00:12<00:02, 18.41it/s] [2024-05-24 18:21:10] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.4.self_attn.qkv_proj.weight", shape: (6144, 2048), dtype: float16
76%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 168/220 [00:12<00:02, 18.41it/s] 78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 172/220 [00:12<00:02, 22.05it/s] [2024-05-24 18:21:10] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.4.self_attn.o_proj.weight", shape: (2048, 2048), dtype: float16
78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 172/220 [00:12<00:02, 22.05it/s] [2024-05-24 18:21:11] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.5.input_layernorm.bias", shape: (2048,), dtype: float16
78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 172/220 [00:12<00:02, 22.05it/s] [2024-05-24 18:21:11] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.5.input_layernorm.weight", shape: (2048,), dtype: float16
78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 172/220 [00:12<00:02, 22.05it/s] [2024-05-24 18:21:11] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.5.mlp.down_proj.weight", shape: (2048, 5632), dtype: float16
78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 172/220 [00:12<00:02, 22.05it/s] 80%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 176/220 [00:12<00:01, 24.15it/s] [2024-05-24 18:21:11] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.5.mlp.gate_up_proj.weight", shape: (11264, 2048), dtype: float16
80%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 176/220 [00:12<00:01, 24.15it/s] [2024-05-24 18:21:11] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.5.post_attention_layernorm.bias", shape: (2048,), dtype: float16
80%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 176/220 [00:12<00:01, 24.15it/s] [2024-05-24 18:21:11] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.5.post_attention_layernorm.weight", shape: (2048,), dtype: float16
80%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 176/220 [00:12<00:01, 24.15it/s] 81%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 179/220 [00:12<00:01, 20.85it/s] [2024-05-24 18:21:11] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.5.self_attn.qkv_proj.bias", shape: (6144,), dtype: float16
81%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 179/220 [00:12<00:01, 20.85it/s] [2024-05-24 18:21:11] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.5.self_attn.qkv_proj.weight", shape: (6144, 2048), dtype: float16
81%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 179/220 [00:12<00:01, 20.85it/s] [2024-05-24 18:21:11] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.5.self_attn.o_proj.weight", shape: (2048, 2048), dtype: float16
81%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 179/220 [00:12<00:01, 20.85it/s] 83%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 182/220 [00:12<00:01, 19.35it/s] [2024-05-24 18:21:11] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.6.input_layernorm.bias", shape: (2048,), dtype: float16
83%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 182/220 [00:12<00:01, 19.35it/s] [2024-05-24 18:21:11] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.6.input_layernorm.weight", shape: (2048,), dtype: float16
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83%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 182/220 [00:13<00:01, 19.35it/s] 85%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 186/220 [00:13<00:01, 18.36it/s] [2024-05-24 18:21:11] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.6.post_attention_layernorm.bias", shape: (2048,), dtype: float16
85%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 186/220 [00:13<00:01, 18.36it/s] [2024-05-24 18:21:11] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.6.post_attention_layernorm.weight", shape: (2048,), dtype: float16
85%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 186/220 [00:13<00:01, 18.36it/s] [2024-05-24 18:21:11] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.6.self_attn.qkv_proj.bias", shape: (6144,), dtype: float16
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[2024-05-24 18:21:13] INFO huggingface_loader.py:196: Unloading HF weight file: dist/models/stablelm-2-zephyr-1_6b/model.safetensors
[2024-05-24 18:21:13] INFO stats.py:76: Time usage: HF loading: 1.016 sec; Pre-quantization mapping: 1.243 sec; Quantization: 0.000 sec
[2024-05-24 18:21:13] INFO stats.py:90: RAM usage: Peak RAM: 3.063 GB. Total bytes loaded from disk: 3.063 GB
[2024-05-24 18:21:13] INFO convert_weight.py:155: Parameter size after quantization: 3.063 GB
[2024-05-24 18:21:13] INFO convert_weight.py:160: Total parameters: 1,644,515,328
[2024-05-24 18:21:13] INFO convert_weight.py:161: Bits per parameter: 16.000
[2024-05-24 18:21:13] INFO convert_weight.py:166: Saved to directory: /tmp/tmp0hr_icqn
All finished, 75 total shards committed, record saved to /tmp/tmp0hr_icqn/ndarray-cache.json