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/usr/bin/python3 -m mlc_llm gen_config dist/models/stablelm-2-zephyr-1_6b --quantization q4f32_1 --conv-template stablelm-2 --output /tmp/tmpt74_sq0w --context-window-size 4096 [2024-05-24 18:29:33] INFO auto_config.py:115: [92mFound[0m model configuration: dist/models/stablelm-2-zephyr-1_6b/config.json [2024-05-24 18:29:33] INFO auto_config.py:153: [92mFound[0m model type: [1mstablelm[0m. Use `--model-type` to override. [2024-05-24 18:29:33] INFO stablelm_model.py:49: [1mcontext_window_size[0m not found in config.json. Falling back to [1mmax_position_embeddings[0m (4096) [2024-05-24 18:29:33] INFO stablelm_model.py:66: [1mprefill_chunk_size[0m defaults to 2048 [2024-05-24 18:29:33] INFO config.py:106: Overriding [1mcontext_window_size[0m from 4096 to 4096 [2024-05-24 18:29:33] INFO config.py:106: Overriding [1mmax_batch_size[0m from 1 to 80 [2024-05-24 18:29:33] INFO gen_config.py:255: [generation_config.json] Setting [1mbos_token_id[0m: 100257 [2024-05-24 18:29:33] INFO gen_config.py:255: [generation_config.json] Setting [1meos_token_id[0m: 100257 [2024-05-24 18:29:33] INFO gen_config.py:269: [91mNot found[0m tokenizer config: dist/models/stablelm-2-zephyr-1_6b/tokenizer.model [2024-05-24 18:29:33] INFO gen_config.py:267: [92mFound[0m tokenizer config: dist/models/stablelm-2-zephyr-1_6b/tokenizer.json. Copying to [1m/tmp/tmpt74_sq0w/tokenizer.json[0m [2024-05-24 18:29:33] INFO gen_config.py:267: [92mFound[0m tokenizer config: dist/models/stablelm-2-zephyr-1_6b/vocab.json. Copying to [1m/tmp/tmpt74_sq0w/vocab.json[0m [2024-05-24 18:29:33] INFO gen_config.py:267: [92mFound[0m tokenizer config: dist/models/stablelm-2-zephyr-1_6b/merges.txt. Copying to [1m/tmp/tmpt74_sq0w/merges.txt[0m [2024-05-24 18:29:33] INFO gen_config.py:269: [91mNot found[0m tokenizer config: dist/models/stablelm-2-zephyr-1_6b/added_tokens.json [2024-05-24 18:29:33] INFO gen_config.py:267: [92mFound[0m tokenizer config: dist/models/stablelm-2-zephyr-1_6b/tokenizer_config.json. Copying to [1m/tmp/tmpt74_sq0w/tokenizer_config.json[0m [2024-05-24 18:29:33] INFO gen_config.py:80: [System default] Setting [1mpad_token_id[0m: 0 [2024-05-24 18:29:33] INFO gen_config.py:80: [System default] Setting [1mtemperature[0m: 0.7 [2024-05-24 18:29:33] INFO gen_config.py:80: [System default] Setting [1mpresence_penalty[0m: 0.0 [2024-05-24 18:29:33] INFO gen_config.py:80: [System default] Setting [1mfrequency_penalty[0m: 0.0 [2024-05-24 18:29:33] INFO gen_config.py:80: [System default] Setting [1mrepetition_penalty[0m: 1.0 [2024-05-24 18:29:33] INFO gen_config.py:80: [System default] Setting [1mtop_p[0m: 0.95 [2024-05-24 18:29:33] INFO gen_config.py:80: [System default] Setting [1mmean_gen_len[0m: 128 [2024-05-24 18:29:33] INFO gen_config.py:80: [System default] Setting [1mmax_gen_len[0m: 512 [2024-05-24 18:29:33] INFO gen_config.py:80: [System default] Setting [1mshift_fill_factor[0m: 0.3 [2024-05-24 18:29:33] INFO gen_config.py:335: Dumping configuration file to: [1m/tmp/tmpt74_sq0w/mlc-chat-config.json[0m /usr/bin/python3 -m mlc_llm convert_weight dist/models/stablelm-2-zephyr-1_6b --quantization q4f32_1 --source-format auto --output /tmp/tmpt74_sq0w [2024-05-24 18:29:34] INFO auto_config.py:115: [92mFound[0m model configuration: dist/models/stablelm-2-zephyr-1_6b/config.json [2024-05-24 18:29:36] INFO auto_device.py:79: [92mFound[0m device: cuda:0 [2024-05-24 18:29:37] INFO auto_device.py:88: [91mNot found[0m device: rocm:0 [2024-05-24 18:29:38] INFO auto_device.py:88: [91mNot found[0m device: metal:0 [2024-05-24 18:29:39] INFO auto_device.py:88: [91mNot found[0m device: vulkan:0 [2024-05-24 18:29:40] INFO auto_device.py:88: [91mNot found[0m device: opencl:0 [2024-05-24 18:29:40] INFO auto_device.py:35: Using device: [1mcuda:0[0m [2024-05-24 18:29:40] INFO auto_weight.py:70: Finding weights in: dist/models/stablelm-2-zephyr-1_6b [2024-05-24 18:29:40] INFO auto_weight.py:136: [91mNot found[0m Huggingface PyTorch [2024-05-24 18:29:40] INFO auto_weight.py:143: [92mFound[0m source weight format: huggingface-safetensor. Source configuration: dist/models/stablelm-2-zephyr-1_6b/model.safetensors.index.json [2024-05-24 18:29:40] INFO auto_weight.py:106: Using source weight configuration: [1mdist/models/stablelm-2-zephyr-1_6b/model.safetensors.index.json[0m. Use `--source` to override. [2024-05-24 18:29:40] INFO auto_weight.py:110: Using source weight format: [1mhuggingface-safetensor[0m. Use `--source-format` to override. [2024-05-24 18:29:40] INFO auto_config.py:153: [92mFound[0m model type: [1mstablelm[0m. Use `--model-type` to override. [2024-05-24 18:29:40] INFO stablelm_model.py:49: [1mcontext_window_size[0m not found in config.json. Falling back to [1mmax_position_embeddings[0m (4096) [2024-05-24 18:29:40] INFO stablelm_model.py:66: [1mprefill_chunk_size[0m defaults to 2048 [1mWeight conversion with arguments:[0m [1m--config[0m dist/models/stablelm-2-zephyr-1_6b/config.json [1m--quantization[0m 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) [1m--model-type[0m stablelm [1m--device[0m cuda:0 [1m--source[0m dist/models/stablelm-2-zephyr-1_6b/model.safetensors.index.json [1m--source-format[0m huggingface-safetensor [1m--output[0m /tmp/tmpt74_sq0w Start storing to cache /tmp/tmpt74_sq0w 0%| | 0/220 [00:00<?, ?it/s] [2024-05-24 18:29:43] INFO huggingface_loader.py:184: Loading HF parameters from: dist/models/stablelm-2-zephyr-1_6b/model.safetensors 0%| | 0/220 [00:00<?, ?it/s] [2024-05-24 18:29:44] INFO group_quantization.py:217: Compiling quantize function for key: ((100352, 2048), float32, cuda, axis=1, output_transpose=False) 0%| | 0/220 [00:01<?, ?it/s] [2024-05-24 18:29:46] INFO huggingface_loader.py:166: [Quantized] Parameter: "[1mlm_head.q_weight[0m", shape: (100352, 256), dtype: uint32 0%| | 0/220 [00:03<?, ?it/s] [2024-05-24 18:29:46] INFO huggingface_loader.py:166: [Quantized] Parameter: "[1mlm_head.q_scale[0m", shape: (100352, 64), dtype: float32 0%| | 0/220 [00:03<?, ?it/s]/home/tlopex/.local/lib/python3.8/site-packages/numpy/core/getlimits.py:518: UserWarning: The value of the smallest subnormal for <class 'numpy.float32'> type is zero. 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) 0%| | 1/220 [00:03<12:53, 3.53s/it] [2024-05-24 18:29:47] INFO huggingface_loader.py:166: [Quantized] Parameter: "[1mmodel.embed_tokens.q_weight[0m", shape: (100352, 256), dtype: uint32 0%| | 1/220 [00:04<12:53, 3.53s/it] [2024-05-24 18:29:47] INFO huggingface_loader.py:166: [Quantized] Parameter: "[1mmodel.embed_tokens.q_scale[0m", shape: (100352, 64), dtype: float32 0%| | 1/220 [00:04<12:53, 3.53s/it] 1%| | 2/220 [00:04<07:50, 2.16s/it] [2024-05-24 18:29:47] INFO huggingface_loader.py:174: [Not quantized] Parameter: "[1mmodel.layers.0.input_layernorm.bias[0m", shape: (2048,), dtype: float32 1%| | 2/220 [00:04<07:50, 2.16s/it] [2024-05-24 18:29:47] INFO huggingface_loader.py:174: [Not quantized] Parameter: "[1mmodel.layers.0.input_layernorm.weight[0m", shape: (2048,), dtype: float32 1%| | 2/220 [00:04<07:50, 2.16s/it] [2024-05-24 18:29:47] INFO group_quantization.py:217: Compiling quantize function for key: ((2048, 5632), float32, cuda, axis=1, output_transpose=False) 1%| | 2/220 [00:04<07:50, 2.16s/it] [2024-05-24 18:29:48] INFO 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[00:05<02:09, 1.65it/s] [2024-05-24 18:29:48] INFO huggingface_loader.py:174: [Not quantized] Parameter: "[1mmodel.layers.0.post_attention_layernorm.bias[0m", shape: (2048,), dtype: float32 3%|β | 6/220 [00:05<02:09, 1.65it/s] [2024-05-24 18:29:48] INFO huggingface_loader.py:174: [Not quantized] Parameter: "[1mmodel.layers.0.post_attention_layernorm.weight[0m", shape: (2048,), dtype: float32 3%|β | 6/220 [00:05<02:09, 1.65it/s] [2024-05-24 18:29:48] INFO huggingface_loader.py:174: [Not quantized] Parameter: "[1mmodel.layers.0.self_attn.qkv_proj.bias[0m", shape: (6144,), dtype: float32 3%|β | 6/220 [00:05<02:09, 1.65it/s] [2024-05-24 18:29:48] INFO group_quantization.py:217: Compiling quantize function for key: ((6144, 2048), float32, cuda, axis=1, output_transpose=False) 3%|β | 6/220 [00:05<02:09, 1.65it/s] [2024-05-24 18:29:48] INFO huggingface_loader.py:166: [Quantized] Parameter: "[1mmodel.layers.0.self_attn.qkv_proj.q_weight[0m", shape: (6144, 256), dtype: uint32 3%|β | 6/220 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[2024-05-24 18:29:53] INFO stats.py:90: [92mRAM usage[0m: Peak RAM: 3.063 GB. Total bytes loaded from disk: 3.063 GB [2024-05-24 18:29:53] INFO convert_weight.py:155: [92mParameter size[0m after quantization: 0.958 GB [2024-05-24 18:29:53] INFO convert_weight.py:160: [92mTotal parameters[0m: 1,644,515,328 [2024-05-24 18:29:53] INFO convert_weight.py:161: [92mBits per parameter[0m: 5.006 [2024-05-24 18:29:53] INFO convert_weight.py:166: Saved to directory: [1m/tmp/tmpt74_sq0w[0m All finished, 27 total shards committed, record saved to /tmp/tmpt74_sq0w/ndarray-cache.json Also saved a bf16 record to /tmp/tmpt74_sq0w/ndarray-cache-b16.json |