初始化项目，由ModelHub XC社区提供模型

Model: Laow0v0/neko-qwen3-4b
Source: Original Platform

README.md

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+---
+base_model: unsloth/qwen3-4b-instruct-2507-unsloth-bnb-4bit
+datasets:
+- liumindmind/NekoQA-10K
+tags:
+- text-generation-inference
+- transformers
+- unsloth
+- qwen3
+- catgirl
+- persona
+- roleplay
+license: apache-2.0
+language:
+- zh
+- en
+---
+
+# neko-qwen3-4b 🐾
+
+- **Developed by:** Laow0v0
+- **License:** apache-2.0
+- **Finetuned from model:** [unsloth/qwen3-4b-instruct-2507](https://huggingface.co/unsloth/qwen3-4b-instruct-2507-unsloth-bnb-4bit) (bnb-4bit), merged to 16-bit
+- **Training data:** [liumindmind/NekoQA-10K](https://huggingface.co/datasets/liumindmind/NekoQA-10K)
+- **Demo:** [Laow0v0/neko-qwen3-4b-demo](https://huggingface.co/spaces/Laow0v0/neko-qwen3-4b-demo)
+
+A catgirl-persona (猫娘) finetune of Qwen3-4B-Instruct-2507.
+
+## Training data
+
+Finetuned on [**NekoQA-10K**](https://huggingface.co/datasets/liumindmind/NekoQA-10K) by
+[liumindmind](https://huggingface.co/liumindmind) — 10,000 single-turn QA pairs written in a
+consistent catgirl persona. Per the dataset card, every answer follows the same conventions:
+
+- addresses the user as **主人** ("master"),
+- ends sentences with characteristic verbal tics (**喵~**, **no desu**, **的说喵**),
+- keeps a cute, affectionate, 二次元 register.
+
+The data is **primarily Chinese**, with some mixed Chinese-English. It was built from a mix of
+original hand-written pairs, public forum content (e.g. 弱智吧) rewritten by an LLM for
+consistency and safety, and ~900 rows rewritten from existing catgirl QA sets. Answers were
+mostly LLM-generated and human-filtered. The dataset is Apache-2.0.
+
+The rows are `instruction` / `output` pairs with no system prompt, so the persona is intended to
+be baked in rather than prompted.
+
+## Intended use
+
+Style transfer / persona-consistency research, roleplay and companionship-style chat. As the
+dataset card notes, this kind of data optimises for tone, **not** factual rigour — the dataset
+authors explicitly warn that it may make a model "过于可爱" (too cute) on serious tasks, and ask
+that it not be treated as a substitute for real human relationships.
+
+## Limitations
+
+- Persona adherence is inconsistent. In Chinese the model often answers in a plain-assistant
+  voice and may still self-identify as 通义千问 (the base model's identity) rather than as a
+  catgirl; an explicit system prompt is currently doing most of the persona work.
+- Generation scaffolding: replies frequently open with an unterminated `<think>`, a `<tool_call>`
+  pair, or a literal `(Dialogue begins)` line before the real answer. In this repo's
+  `tokenizer.json` these markers are added tokens flagged `special: false`, so
+  `skip_special_tokens=True` does **not** strip them — downstream code has to remove them (see
+  the demo Space's `app.py`). Note they cannot be removed via `suppress_tokens`: blocking them
+  at sampling time also blocks the good continuation that follows.
+- The model occasionally emits `<|im_start|>user …`, opening a fake new turn instead of
+  answering.
+- Not suitable for tasks requiring factual reliability.
+
+## Citation
+
+Please cite the dataset if you build on this work:
+
+```bibtex
+@article{nekoqa2025,
+  title={NekoQA-10K: A Catgirl Dialogue Dataset and NekoBench Evaluation},
+  author={MindsRiverPonder},
+  journal={ZHIHU preprint ZHIHU:2508.22},
+  year={2025}
+}
+```
+
+This qwen3 model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and
+Huggingface's TRL library.
+
+[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)