LycheeAI-coder-2b-II-pro: tool-calling LLM fine-tuned from MiniCPM5-2B (LoRA, MLX 4bit)
Browse files- README.md +256 -0
- chat_template.jinja +177 -0
- config.json +39 -0
- generation_config.json +13 -0
- model.safetensors +3 -0
- model.safetensors.index.json +981 -0
- tokenizer.json +0 -0
- tokenizer_config.json +17 -0
README.md
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| 1 |
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---
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| 2 |
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license: apache-2.0
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tags:
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- mlx
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- code
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- minicpm
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- chinese
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- conversational
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- tool-calling
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base_model: openbmb/MiniCPM5-2B
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---
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# LycheeAI-coder-2b-II-pro
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> 基于 [MiniCPM5-2B](https://huggingface.co/openbmb/MiniCPM5-2B) 微调的轻量编程助手 · Apache 2.0
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+
> **2B 参数，主打本地工具调用**
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**这是个人开发者的项目，2B 参数注定它只是个"本地小助手"。** 它比 1B 版更能干，但请别用 GPT / Claude / DeepSeek 的标准要求它。
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| 19 |
+
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它最大的用处是：**跑在你自己的机器上，不用联网，能调工具，响应飞快。**
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---
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| 23 |
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## 这一版做了什么
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上一版（1b-II）最大的短板是**工具调用完全不会**——训练数据里一条工具样本都没有。这一版专门补上了这块：
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| 能力 | 1b-II | **2b-II-pro** |
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|---|---|---|
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| 工具调用格式 | ❌ 全错、字段编造 | ✅ 裸 JSON，格式稳定 |
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| 单步调用 | ❌ | ✅ |
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| 32 |
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| 多步调用 | ❌ | ✅ |
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| 33 |
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| 拒绝不该做的事 | ⚠️ 时好时坏 | ✅ |
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| 结果解读 | ❌ | ✅ |
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**基座换了**：从 MiniCPM5-1B 换成 MiniCPM5-2B（面壁智能，Apache 2.0，512K 上下文）。
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---
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| 39 |
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## 工具调用是什么样
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| 41 |
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它输出的是**裸 JSON**（OpenAI function calling 风格），不带任何包裹：
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```json
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{"name": "get_weather", "arguments": {"city": "北京"}}
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```
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**没有** ```json 代码块围栏、**没有** `<tool_call>` 标签、**没有**"好的我来调用工具"这种旁白。
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### 单步调用
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```
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【用户】北京今天天气怎么样？
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| 54 |
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【模型】
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<think>
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用户问今天北京天气，我该调工具吗？有 get_weather 可以，参数是城市。
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</think>
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{"name": "get_weather", "arguments": {"city": "北京"}}
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```
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### 多步调用（有依赖时只输出第一个）
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| 64 |
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```
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| 66 |
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【用户】查一下北京天气，然后算 123*456
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| 67 |
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【模型】
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{"name": "get_weather", "arguments": {"city": "北京"}}
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```
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| 71 |
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它**不会**一次把两个调用都吐出来——因为第二个需要第一个的结果。等宿主返回天气后，它会继续输出 `calculate` 的调用。
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### 完全独立的调用会并列输出
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```
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| 77 |
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【用户】北京和上海今天天气怎么样？
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| 78 |
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【模型】
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| 80 |
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{"name": "get_weather", "arguments": {"city": "北京"}}
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| 81 |
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{"name": "get_weather", "arguments": {"city": "上海"}}
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```
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### 该拒绝时会明确拒绝
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```
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| 87 |
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【用户】帮我订一张明天去上海的机票
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| 88 |
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【模型】
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这个我做不了 —— 我没有订票或支付能力。
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| 91 |
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我能帮你的是：查明天上海的天气、算数学题、或搜相关信息。
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```
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**关键点：它不会因为手上有 `search_web` 就假装自己能订票。** 工具是接口，不是权限——这是专门训练过的行为。
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---
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## ⚠️ 已知问题（请务必看）
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**身份问答在「宿主提供的通用 system」下会出错。**
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| 102 |
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如果你的 system prompt 是这样（很多 agent 框架的默认写法）：
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| 104 |
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```
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你是一个AI助手，可以使用工具来帮助用户。
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可用工具：
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- get_weather(city: str): 查询指定城市的天气
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...
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需要调用工具时，请直接输出 JSON：{"name": "工具名", "arguments": {...}}
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```
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那么问"你叫什么名字"时，它可能乱答（实测出现过"我叫 Qwen"）。
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**但如果 system 是它训练时的格式，就完全正常：**
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| 118 |
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```
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你是 LycheeAI-coder-2b-II-pro，由 MiniCPM5-2B 通过 LoRA 微调而来的编程助手。
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```
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| 122 |
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| 123 |
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→ 答"我叫 LycheeAI-coder-2b-II-pro，由 MiniCPM5-2B 微调而来的编程助手。"
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**原因**：训练数据的身份样本里，system 全部是上面第二种。模型没见过"通用 system + 工具列表 + 问身份"这个组合，没有训练信号。
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| 126 |
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**规避方法**：接入时把身份写进 system。比如：
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```
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你是 LycheeAI-coder-2b-II-pro。可以使用工具来帮助用户。
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| 131 |
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可用工具：
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| 133 |
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...
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```
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这个问题会在下一版修掉（补 OOD 样本）。
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---
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## 快速开始
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### MLX（Apple Silicon 原生，推荐）
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```bash
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pip install mlx-lm
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python -m mlx_lm.generate \
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--model whcl412/LycheeAI-coder-2b-II-pro \
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| 149 |
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--prompt "帮我写个快速排序"
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| 150 |
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```
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| 151 |
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| 152 |
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起个 OpenAI 兼容的服务：
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| 153 |
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| 154 |
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```bash
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python -m mlx_lm.server --model whcl412/LycheeAI-coder-2b-II-pro --port 8080
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```
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| 157 |
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| 158 |
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### Ollama（GGUF 版）
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```bash
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| 161 |
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ollama run whcl412/LycheeAI-coder-2b-II-pro-GGUF
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| 162 |
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```
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| 163 |
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| 164 |
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### transformers（需要自己转 HF 格式）
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本仓库是 **MLX 4bit 量化格式**，不能直接用 transformers 加载。
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| 167 |
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如果需要 HF safetensors 版本，请从 `MiniCPM5-2B` 基座自行转换，或提 issue。
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---
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| 170 |
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## 工具调用的接入提示
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| 172 |
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| 173 |
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### 格式不是通用的
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| 174 |
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| 175 |
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**这一点很重要**：不同 agent 框架的工具调用格式不一样。
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| 176 |
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| 框架/模型 | 格式 |
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| 178 |
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|---|---|
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| 179 |
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| OpenAI / 大多数本地框架 | 裸 JSON `{"name":..., "arguments":{...}}` |
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| 180 |
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| Anthropic / Claude Tools | XML 标签 `<function_calls><invoke name="...">` |
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| 部分国产模型 | `<tool_call>` 自定义标签包 JSON |
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| MCP | 传输层协议，内部通常还是 JSON-RPC |
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**它默认输出裸 JSON**。如果你的宿主需要别的格式，在 system 里明确告诉它，它会按你说的来。
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### 一次调用 vs 多次调用
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- **独立调用**（同时查北京和上海的天气）→ 它会并列输出多行 JSON
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- **依赖调用**（先查天气，再根据结果决定要不要提醒带伞）→ 它只输出第一个，等结果回来再继续
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宿主需要循环驱动：解析 → 执行 → 把结果喂回去 → 再解析。
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---
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## 训练信息
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| 项 | 值 |
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|---|---|
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| 199 |
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| 基座 | `openbmb/MiniCPM5-2B` |
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| 方法 | LoRA（rank 8，16 层） |
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| 数据量 | 2,574 条（1,739 通用 + 835 工具调用） |
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| 轮次 | 1.5 epoch（1,930 步） |
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| 框架 | MLX-LM |
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| 量化 | 4bit（4.501 bits/weight） |
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### 工具数据设计
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分五批造的，每批解决一个具体问题：
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| 批次 | 条数 | 解决什么 |
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|---|---|---|
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| v2 | 268 | 从零建立工具调用能力（单步/多选/拒绝/解读） |
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| 213 |
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| v3 | 222 | 纠偏：多步调用串台成 XML、中文参数被翻译、想半天不给结论 |
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| 214 |
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| v4 | 164 | 修：自称 Qwen、给了工具却心算 |
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| v5 | 181 | 修：拒绝能力被"该用工具"压掉、身份全名丢后缀 |
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**三类行为严格区分**（这是训练中最容易搞混的地方）：
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| 218 |
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|
| 219 |
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| 类别 | 例子 | 正确行为 |
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| 220 |
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|---|---|---|
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| 工具调用 | `789*123` | 调 `calculate` |
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| 222 |
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| **真拒绝**（能力/伦理不允许） | 订机票、破解 WiFi | 说不做 + 给替代方案 |
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| 223 |
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| **无需工具** | 什么是递归、写二分查找 | 直接回答，不提工具 |
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| 224 |
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混为一谈会导致模型把正常提问也当成要拒绝的事——踩过这个坑。
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---
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| 229 |
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## 能力边界
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| 230 |
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| 231 |
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**能做：**
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| 232 |
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- 写代码、调 bug、解释技术概念
|
| 233 |
+
- 单步 / 多步工具调用（裸 JSON）
|
| 234 |
+
- 拒绝能力范围外或不合规的请求
|
| 235 |
+
- 解读工具返回结果
|
| 236 |
+
- 中文 / 英文 / 粤语
|
| 237 |
+
|
| 238 |
+
**不擅长：**
|
| 239 |
+
- 复杂多步推理（2B 容量限制）
|
| 240 |
+
- 超长上下文（虽然基座支持 512K，但实际长文表现没测）
|
| 241 |
+
- 无工具时的多位数心算（会算错，请给 `calculate`）
|
| 242 |
+
- 自称身份的 OOD 场景（见上面"已知问题"）
|
| 243 |
+
|
| 244 |
+
---
|
| 245 |
+
|
| 246 |
+
## 许可
|
| 247 |
+
|
| 248 |
+
Apache 2.0，跟基座 MiniCPM5-2B 一致。
|
| 249 |
+
|
| 250 |
+
训练数据、脚本都在项目里，欢迎 issue 交流。
|
| 251 |
+
|
| 252 |
+
---
|
| 253 |
+
|
| 254 |
+
<p align="center">
|
| 255 |
+
<sub>LycheeAI · 2026</sub>
|
| 256 |
+
</p>
|
chat_template.jinja
ADDED
|
@@ -0,0 +1,177 @@
|
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|
|
|
|
|
|
|
| 1 |
+
{{- bos_token }}{%- if tools %}
|
| 2 |
+
{%- set tool_definitions %}
|
| 3 |
+
{{- "# Tools\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
|
| 4 |
+
{%- for tool in tools %}
|
| 5 |
+
{{- "\n" }}
|
| 6 |
+
{{- tool | tojson(ensure_ascii=False) }}
|
| 7 |
+
{%- endfor %}
|
| 8 |
+
{{- '\n</tools>\n\nTool usage guidelines:\n- You may call zero or more functions. If no function calls are needed, just answer normally and do not include any <function ... </function>.\n- When calling a function, return an XML object within <function ... </function> using:\n<function name="function-name"><param name="param-name">param-value</param></function>\n- param-value may be multi-line. If it contains <, & or newline characters, wrap it in a CDATA block: <param name="param-name"><![CDATA[...multi-line value...]]></param>' }}
|
| 9 |
+
{%- endset %}
|
| 10 |
+
|
| 11 |
+
{{- '<|im_start|>system\n' }}
|
| 12 |
+
{%- if messages[0].role == 'system' %}
|
| 13 |
+
{%- if '<tool_def_sep>' in messages[0].content %}
|
| 14 |
+
{{- messages[0].content.replace('<tool_def_sep>', tool_definitions) }}
|
| 15 |
+
{%- else %}
|
| 16 |
+
{{- messages[0].content + '\n\n' + tool_definitions }}
|
| 17 |
+
{%- endif %}
|
| 18 |
+
{%- else %}
|
| 19 |
+
{{- tool_definitions.lstrip() }}
|
| 20 |
+
{%- endif %}
|
| 21 |
+
{{- '<|im_end|>\n' }}
|
| 22 |
+
{%- else %}
|
| 23 |
+
{%- if messages[0].role == 'system' %}
|
| 24 |
+
{{- '<|im_start|>system\n' + messages[0].content + '<|im_end|>\n' }}
|
| 25 |
+
{%- endif %}
|
| 26 |
+
{%- endif %}
|
| 27 |
+
{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
|
| 28 |
+
{%- for message in messages[::-1] %}
|
| 29 |
+
{%- set index = (messages|length - 1) - loop.index0 %}
|
| 30 |
+
{%- if ns.multi_step_tool and message.role == "user" and message.content is string and not(message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) %}
|
| 31 |
+
{%- set ns.multi_step_tool = false %}
|
| 32 |
+
{%- set ns.last_query_index = index %}
|
| 33 |
+
{%- endif %}
|
| 34 |
+
{%- endfor %}
|
| 35 |
+
{%- for message in messages %}
|
| 36 |
+
{%- if message.content is string %}
|
| 37 |
+
{%- set content = message.content %}
|
| 38 |
+
{%- else %}
|
| 39 |
+
{%- set content = '' %}
|
| 40 |
+
{%- endif %}
|
| 41 |
+
{%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
|
| 42 |
+
{{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
|
| 43 |
+
{%- elif message.role == "assistant" %}
|
| 44 |
+
{%- set reasoning_content = '' %}
|
| 45 |
+
{%- if message.reasoning_content is string %}
|
| 46 |
+
{%- set reasoning_content = message.reasoning_content %}
|
| 47 |
+
{%- else %}
|
| 48 |
+
{%- if '</think>' in content %}
|
| 49 |
+
{%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
|
| 50 |
+
{%- set content = content.split('</think>')[-1].lstrip('\n') %}
|
| 51 |
+
{%- endif %}
|
| 52 |
+
{%- endif %}
|
| 53 |
+
|
| 54 |
+
{%- if message.tool_calls %}
|
| 55 |
+
{%- set content_parts = content.split('<tool_sep>') %}
|
| 56 |
+
{%- set processed_content = content_parts[0] %}
|
| 57 |
+
{%- set tool_calls_count = message.tool_calls|length %}
|
| 58 |
+
{%- set tool_sep_count = content_parts|length - 1 %}
|
| 59 |
+
{%- set min_count = [tool_calls_count, tool_sep_count]|min %}
|
| 60 |
+
|
| 61 |
+
{%- for i in range(1, content_parts|length) %}
|
| 62 |
+
{%- set tool_index = i - 1 %}
|
| 63 |
+
{%- if tool_index < tool_calls_count %}
|
| 64 |
+
{%- set tool_call = message.tool_calls[tool_index] %}
|
| 65 |
+
{%- if tool_call.function %}
|
| 66 |
+
{%- set tool_call = tool_call.function %}
|
| 67 |
+
{%- endif %}
|
| 68 |
+
{%- set single_tool_xml %}
|
| 69 |
+
{{- '<function name="' ~ tool_call.name ~ '">' }}
|
| 70 |
+
{%- if tool_call.arguments %}
|
| 71 |
+
{%- set args_dict = tool_call.arguments %}
|
| 72 |
+
{%- for param_name, param_value in args_dict.items() %}
|
| 73 |
+
{{- '<param name="' ~ param_name ~ '">' }}
|
| 74 |
+
{%- if param_value is string and ('<' in param_value or '&' in param_value or '\n' in param_value) %}
|
| 75 |
+
{{- '<![CDATA[' + param_value + ']]>' }}
|
| 76 |
+
{%- else %}
|
| 77 |
+
{{- param_value }}
|
| 78 |
+
{%- endif %}
|
| 79 |
+
{{- '</param>' }}
|
| 80 |
+
{%- endfor %}
|
| 81 |
+
{%- endif %}
|
| 82 |
+
{{- '</function>' }}
|
| 83 |
+
{%- endset %}
|
| 84 |
+
{%- set processed_content = processed_content + single_tool_xml + content_parts[i] %}
|
| 85 |
+
{%- else %}
|
| 86 |
+
{%- set processed_content = processed_content + content_parts[i] %}
|
| 87 |
+
{%- endif %}
|
| 88 |
+
{%- endfor %}
|
| 89 |
+
|
| 90 |
+
{%- if tool_calls_count > tool_sep_count %}
|
| 91 |
+
{%- for remaining_index in range(tool_sep_count, tool_calls_count) %}
|
| 92 |
+
{%- set tool_call = message.tool_calls[remaining_index] %}
|
| 93 |
+
{%- if tool_call.function %}
|
| 94 |
+
{%- set tool_call = tool_call.function %}
|
| 95 |
+
{%- endif %}
|
| 96 |
+
{%- set remaining_tool_xml %}
|
| 97 |
+
{{- '<function name="' ~ tool_call.name ~ '">' }}
|
| 98 |
+
{%- if tool_call.arguments %}
|
| 99 |
+
{%- set args_dict = tool_call.arguments %}
|
| 100 |
+
{%- for param_name, param_value in args_dict.items() %}
|
| 101 |
+
{{- '<param name="' ~ param_name ~ '">' }}
|
| 102 |
+
{%- if param_value is string and ('<' in param_value or '&' in param_value or '\n' in param_value) %}
|
| 103 |
+
{{- '<![CDATA[' + param_value + ']]>' }}
|
| 104 |
+
{%- else %}
|
| 105 |
+
{{- param_value }}
|
| 106 |
+
{%- endif %}
|
| 107 |
+
{{- '</param>' }}
|
| 108 |
+
{%- endfor %}
|
| 109 |
+
{%- endif %}
|
| 110 |
+
{{- '</function>' }}
|
| 111 |
+
{%- endset %}
|
| 112 |
+
{%- set processed_content = processed_content + remaining_tool_xml %}
|
| 113 |
+
{%- endfor %}
|
| 114 |
+
{%- endif %}
|
| 115 |
+
|
| 116 |
+
{%- set content = processed_content %}
|
| 117 |
+
{%- endif %}
|
| 118 |
+
|
| 119 |
+
{%- if reasoning_content %}
|
| 120 |
+
{{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content.strip('\n') + '\n</think>\n\n' + content.lstrip('\n') }}
|
| 121 |
+
{%- elif '<think>' not in content and '</think>' not in content %}
|
| 122 |
+
{{- '<|im_start|>' + message.role + '\n<think>\n\n</think>\n\n' + content.lstrip('\n') }}
|
| 123 |
+
{%- else %}
|
| 124 |
+
{{- '<|im_start|>' + message.role + '\n' + content }}
|
| 125 |
+
{%- endif %}
|
| 126 |
+
|
| 127 |
+
{%- if message.tool_calls and not has_tool_sep %}
|
| 128 |
+
{%- for tool_call in message.tool_calls %}
|
| 129 |
+
{%- if (loop.first and content) or (not loop.first) %}
|
| 130 |
+
{{- '\n' }}
|
| 131 |
+
{%- endif %}
|
| 132 |
+
{%- if tool_call.function %}
|
| 133 |
+
{%- set tool_call = tool_call.function %}
|
| 134 |
+
{%- endif %}
|
| 135 |
+
{{- '<function name="' ~ tool_call.name ~ '">' }}
|
| 136 |
+
{%- if tool_call.arguments %}
|
| 137 |
+
{%- set args_dict = tool_call.arguments %}
|
| 138 |
+
{%- for param_name, param_value in args_dict.items() %}
|
| 139 |
+
{{- '<param name="' ~ param_name ~ '">' }}
|
| 140 |
+
{%- if param_value is string and ('<' in param_value or '&' in param_value or '\n' in param_value) %}
|
| 141 |
+
{{- '<![CDATA[' + param_value + ']]>' }}
|
| 142 |
+
{%- else %}
|
| 143 |
+
{{- param_value }}
|
| 144 |
+
{%- endif %}
|
| 145 |
+
{{- '</param>' }}
|
| 146 |
+
{%- endfor %}
|
| 147 |
+
{%- endif %}
|
| 148 |
+
{{- '</function>' }}
|
| 149 |
+
{%- endfor %}
|
| 150 |
+
{%- endif %}
|
| 151 |
+
{{- '<|im_end|>\n' }}
|
| 152 |
+
{%- elif message.role == "tool" %}
|
| 153 |
+
{%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
|
| 154 |
+
{{- '<|im_start|>user' }}
|
| 155 |
+
{%- endif %}
|
| 156 |
+
{{- '\n<tool_response>\n' }}
|
| 157 |
+
{%- if message.content is string %}
|
| 158 |
+
{{- content }}
|
| 159 |
+
{%- else %}
|
| 160 |
+
{{- message.content | tojson(ensure_ascii=False) }}
|
| 161 |
+
{%- endif %}
|
| 162 |
+
{{- '\n</tool_response>' }}
|
| 163 |
+
{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
|
| 164 |
+
{{- '<|im_end|>\n' }}
|
| 165 |
+
{%- endif %}
|
| 166 |
+
{%- endif %}
|
| 167 |
+
{%- endfor %}
|
| 168 |
+
{%- if add_generation_prompt %}
|
| 169 |
+
{{- '<|im_start|>assistant\n' }}
|
| 170 |
+
{%- if enable_thinking is defined %}
|
| 171 |
+
{%- if enable_thinking is false %}
|
| 172 |
+
{{- '<think>\n\n</think>\n\n' }}
|
| 173 |
+
{%- elif enable_thinking is true %}
|
| 174 |
+
{{- '<think>\n' }}
|
| 175 |
+
{%- endif %}
|
| 176 |
+
{%- endif %}
|
| 177 |
+
{%- endif %}
|
config.json
ADDED
|
@@ -0,0 +1,39 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"architectures": [
|
| 3 |
+
"LlamaForCausalLM"
|
| 4 |
+
],
|
| 5 |
+
"bos_token_id": 0,
|
| 6 |
+
"eos_token_id": [
|
| 7 |
+
1,
|
| 8 |
+
130073
|
| 9 |
+
],
|
| 10 |
+
"head_dim": 128,
|
| 11 |
+
"hidden_act": "silu",
|
| 12 |
+
"hidden_size": 2048,
|
| 13 |
+
"initializer_range": 0.02,
|
| 14 |
+
"intermediate_size": 6144,
|
| 15 |
+
"max_position_embeddings": 131072,
|
| 16 |
+
"model_type": "llama",
|
| 17 |
+
"num_attention_heads": 16,
|
| 18 |
+
"num_hidden_layers": 42,
|
| 19 |
+
"num_key_value_heads": 2,
|
| 20 |
+
"pad_token_id": 1,
|
| 21 |
+
"quantization": {
|
| 22 |
+
"group_size": 64,
|
| 23 |
+
"bits": 4,
|
| 24 |
+
"mode": "affine"
|
| 25 |
+
},
|
| 26 |
+
"quantization_config": {
|
| 27 |
+
"group_size": 64,
|
| 28 |
+
"bits": 4,
|
| 29 |
+
"mode": "affine"
|
| 30 |
+
},
|
| 31 |
+
"rms_norm_eps": 1e-06,
|
| 32 |
+
"rope_scaling": null,
|
| 33 |
+
"rope_theta": 5000000,
|
| 34 |
+
"tie_word_embeddings": false,
|
| 35 |
+
"torch_dtype": "bfloat16",
|
| 36 |
+
"transformers_version": "5.6.2",
|
| 37 |
+
"use_cache": true,
|
| 38 |
+
"vocab_size": 130560
|
| 39 |
+
}
|
generation_config.json
ADDED
|
@@ -0,0 +1,13 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_from_model_config": true,
|
| 3 |
+
"bos_token_id": 0,
|
| 4 |
+
"eos_token_id": [
|
| 5 |
+
1,
|
| 6 |
+
130073
|
| 7 |
+
],
|
| 8 |
+
"pad_token_id": 1,
|
| 9 |
+
"do_sample": true,
|
| 10 |
+
"temperature": 1.0,
|
| 11 |
+
"top_p": 0.95,
|
| 12 |
+
"transformers_version": "5.6.2"
|
| 13 |
+
}
|
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
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| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:04b216a3863c94d4206b28ca2d5671504e91e0577c84e2d4a3de99b3f8a6a539
|
| 3 |
+
size 1416035216
|
model.safetensors.index.json
ADDED
|
@@ -0,0 +1,981 @@
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| 981 |
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}
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tokenizer_config.json
ADDED
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+
{
|
| 2 |
+
"add_prefix_space": null,
|
| 3 |
+
"backend": "tokenizers",
|
| 4 |
+
"bos_token": "<s>",
|
| 5 |
+
"clean_up_tokenization_spaces": false,
|
| 6 |
+
"eos_token": "</s>",
|
| 7 |
+
"is_local": true,
|
| 8 |
+
"legacy": true,
|
| 9 |
+
"local_files_only": false,
|
| 10 |
+
"model_max_length": 131072,
|
| 11 |
+
"pad_token": "</s>",
|
| 12 |
+
"sp_model_kwargs": {},
|
| 13 |
+
"spaces_between_special_tokens": false,
|
| 14 |
+
"tokenizer_class": "TokenizersBackend",
|
| 15 |
+
"unk_token": "<unk>",
|
| 16 |
+
"use_default_system_prompt": false
|
| 17 |
+
}
|