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--- |
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license: apache-2.0 |
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base_model: FlagAlpha/Llama3-Chinese-8B-Instruct |
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datasets: |
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- Moemu/Muice-Dataset |
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tags: |
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- chinese |
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- lora |
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- llama3 |
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library_name: peft |
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language: |
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- zh |
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--- |
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## 模型说明 |
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基于 [FlagAlpha/Llama3-Chinese-8B-Instruct](https://huggingface.co/FlagAlpha/Llama3-Chinese-8B-Instruct) 微调而成的沐雪角色扮演模型，在主动对话上表现出一定的优势（固定Prompt）。使用本模型需要模型本体。 |
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沐雪设定可参见：[Moemu/Muice-Chatbot](https://github.com/Moemu/Muice-Chatbot?tab=readme-ov-file#沐雪人设) |
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部分训练集参见：[Moemu/Muice-Dataset](https://huggingface.co/datasets/Moemu/Muice-Dataset) |
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## 对话示例 |
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## System Prompt |
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在不同任务中，模型拥有不同的System Prompt。具体参见：[Muice-Chatbot/llm/utils/auto_system_prompt.py at main · Moemu/Muice-Chatbot](https://github.com/Moemu/Muice-Chatbot/blob/main/llm/utils/auto_system_prompt.py) |
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## 评估 |
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| 模型名 | 新话题发起分数 | 直播对话性能 | 日常聊天性能 | 综合对话分数 | |
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| ----------------------------------------------- | -------------- | ------------ | ------------ | ------------ | |
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| Muice-2.3-chatglm2-6b-int4-pt-128-1e-2 | 2.80 | 4.00 | 4.33 | 3.45 | |
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| Muice-2.4-chatglm2-6b-int4-pt-128-1e-2 | 3.20 | 4.00 | 3.50 | 3.45 | |
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| Muice-2.4-Qwen2-1.5B-Instruct-GPTQ-Int4-2e-3 | 1.40 | 3.00 | 6.00 | 5.75 | |
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| Muice-2.5.3-Qwen2-1.5B-Instruct-GPTQ-Int4-2e-3 | 4.04 | 5.00 | 4.33 | 5.29 | |
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| Muice-2.6.2-Qwen-7B-Chat-Int4-5e-4 | 5.20 | 5.67 | 4.00 | 5.75 | |
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| Muice-2.7.0-Qwen-7B-Chat-Int4-1e-4 | 2.40 | 5.30 | 6.00 | \ | |
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| Muice-2.7.1-Qwen2.5-7B-Instruct-GPTQ-Int4-8e-4 | **5.40** | 4.60 | 4.50 | **6.76** | |
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| **Muice-2.7.1-Llama3_Chinese_8b_Instruct-8e-5** | 4.16 | **6.34** | **8.16** | 6.20 | |
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## 训练参数 |
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- learning_rate: 8e-05 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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- num_epochs: 5.0 |
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- mixed_precision_training: Native AMP |
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