初始化项目，由ModelHub XC社区提供模型

Model: Ma7ee7/Meet7_0.6b
Source: Original Platform

README.md

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+---
+base_model: unsloth/Qwen3-0.6B-unsloth-bnb-4bit
+tags:
+- text-generation-inference
+- transformers
+- unsloth
+- qwen3
+license: apache-2.0
+language:
+- en
+---
+
+# Meet7 0.6B
+
+A general-purpose **Non-Reasoning** LoRA fine-tune of Qwen3-0.6B, trained in under 10 minutes on just 600 samples.
+
+## Benchmarks
+
+<img src="https://cdn-uploads.huggingface.co/production/uploads/6466047a326128fd2c693cfa/orQ3ohtKYkJYoVikUZn4s.png" width="600"/>
+
+Scores are `acc_norm`.
+
+| Task | Shot | Qwen3-0.6B | Meet7 0.6B | Δ |
+|------|------|:----------:|:----------:|:-:|
+| BoolQ | 0-shot | 0.3798 | 0.5554 | **+17.56%** |
+| ARC Easy | 3-shot | 0.3636 | 0.4394 | **+07.58%** |
+| ARC Challenge | 3-shot | 0.2952 | 0.3456 | **+05.04%** |
+| HellaSwag | 3-shot | 0.3956 | 0.4323 | **+03.67%** |
+| PIQA | 0-shot | 0.6338 | 0.6583 | **+02.45%** |
+| Winogrande | 0-shot | 0.5225 | 0.5201 | −00.24% |
+
+## Model Details
+
+| | |
+|---|---|
+| **Developed by** | Ma7ee7 |
+| **License** | Apache-2.0 |
+| **Base model** | unsloth/Qwen3-0.6B-unsloth-bnb-4bit |
+| **Training time** | < 10 minutes |
+| **Training samples** | 600 |
+
+Trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Hugging Face TRL.
+
+[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)