---
base_model: Qwen/Qwen3-1.7B
library_name: transformers
tags:
  - qlora
  - roleplay
  - qwen
  - sft
  - touhou
  - character-roleplay
  - synthetic-data
  - generated_from_trainer
language:
  - zh
license: apache-2.0
---

# Qwen3-1.7B-Yukari-SFT

八云紫 (Yukari Yakumo) 角色扮演模型 — SFT 初版（已被 SFT-v2 取代）。

## 模型信息

| 项目 | 值 |
|------|-----|
| 基座 | [Qwen/Qwen3-1.7B](https://huggingface.co/Qwen/Qwen3-1.7B) |
| 方法 | QLoRA 4-bit NF4 (双重量化), bf16 |
| LoRA | **r=8, alpha=8**, target: q/k/v/o/gate/up/down proj |
| 数据 | 3,691 条合成 SFT 对话 (MiMo-V2.5-Pro 生成) |
| 硬件 | RTX 3060 Laptop 6GB |
| Loss | 5.27 to 1.55 |
| 格式 | Merged bf16 safetensors + GGUF F16 |

## 系列模型

| 模型 | LoRA | 方法 | 版本 |
|------|------|------|------|
| **Qwen3-1.7B-Yukari-SFT** (本模型) | r=8, a=8 | SFT | v1 |
| [Qwen3-1.7B-Yukari-SFT-v2](https://hf.co/zzoceanpie/Qwen3-1.7B-Yukari-SFT-v2) | r=32, a=64 | SFT | v2 |
| [Qwen3-1.7B-Yukari-DPO](https://hf.co/zzoceanpie/Qwen3-1.7B-Yukari-DPO) | r=32, a=64 | SFT+DPO | v2+DPO |

## 用法

模型输入格式为 `[情绪标签]\n用户输入`，标签控制八云紫的回复语气。8 维 Plutchik 情绪向量离散化：喜悦/愤怒/悲伤/恐惧/厌恶/惊讶/信任/期待，每维取「无」「极轻微」「轻微」「中轻度」「中度」「较强烈」「强烈」「极强烈」。

```python
from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained(
    "zzoceanpie/Qwen3-1.7B-Yukari-SFT",
    torch_dtype="auto", device_map="auto", trust_remote_code=True
)
tokenizer = AutoTokenizer.from_pretrained("zzoceanpie/Qwen3-1.7B-Yukari-SFT")

# 组装情绪标签
tags = "[<|中度喜悦|><|轻微愤怒|><|轻微悲伤|><|无恐惧|><|无厌恶|><|无惊讶|><|轻微信任|><|中度期待|>]"
prompt = f"{tags}\n你觉得人类最有趣的地方是什么？"

messages = [{"role": "user", "content": prompt}]
text = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
inputs = tokenizer(text, return_tensors="pt").to(model.device)
outputs = model.generate(**inputs, max_new_tokens=128, temperature=0.8)
print(tokenizer.decode(outputs[0], skip_special_tokens=True))
```

### GGUF

```python
from llama_cpp import Llama

model = Llama(model_path="Qwen3-1.7B-Yukari-SFT-f16.gguf", n_ctx=2048, n_gpu_layers=-1)
response = model.create_chat_completion(
    messages=[{"role": "user", "content": prompt}],
    max_tokens=200, temperature=0.8
)
print(response["choices"][0]["message"]["content"])
```

## 许可 / License

- 模型权重: Apache 2.0
- 角色「八云紫」版权: (C) 上海爱丽丝幻乐团 (Team Shanghai Alice) / ZUN
- 本模型是东方Project的二次创作/粉丝作品。遵循 [东方Project二次创作指南](https://touhou-project.news/guidelines_en/)。
- 训练数据: [yukari-synthetic](https://hf.co/datasets/zzoceanpie/yukari-synthetic) (Apache 2.0)
- *This is a fan-made derivative work based on Touhou Project. Touhou Project is (C) Team Shanghai Alice / ZUN.*

> This model is a fan-made derivative work based on Touhou Project.
> Touhou Project is (C) Team Shanghai Alice / ZUN.
> Please refer to the [official guidelines](https://touhou-project.news/guidelines_en/) for Touhou fan content.