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--- |
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language: |
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- zh |
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- en |
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pipeline_tag: text-generation |
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inference: false |
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--- |
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原项目见 [https://huggingface.co/baichuan-inc/Baichuan-13B-Chat] |
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改动点：将原模型量化为8bit 保存为2GB大小的切片。 |
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## 使用方式(int8) |
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```python |
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import torch |
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from transformers import AutoModelForCausalLM, AutoTokenizer |
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from transformers.generation.utils import GenerationConfig |
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tokenizer = AutoTokenizer.from_pretrained("trillionmonster/Baichuan-13B-Chat-8bit", use_fast=False, trust_remote_code=True) |
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model = AutoModelForCausalLM.from_pretrained("trillionmonster/Baichuan-13B-Chat-8bit", device_map="auto", trust_remote_code=True) |
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model.generation_config = GenerationConfig.from_pretrained("trillionmonster/Baichuan-13B-Chat-8bit") |
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messages = [] |
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messages.append({"role": "user", "content": "世界上第二高的山峰是哪座"}) |
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response = model.chat(tokenizer, messages) |
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print(response) |
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``` |
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如需使用 int4 量化 (Similarly, to use int4 quantization): |
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```python |
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model = AutoModelForCausalLM.from_pretrained("trillionmonster/Baichuan-13B-Chat-8bit", device_map="auto",load_in_4bit=True,trust_remote_code=True) |
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``` |
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