初始化项目，由ModelHub XC社区提供模型

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

README.md

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+---
+base_model: Ma7ee7/Meet7_0.6b-experimental
+tags:
+- text-generation-inference
+- transformers
+- unsloth
+- qwen3
+license: apache-2.0
+language:
+- en
+---
+
+# Meet7 0.6B — Experimental Thinking
+
+A thinking trained variant of [Meet7 0.6B Experimental](https://huggingface.co/Ma7ee7/Meet7_0.6b_Exp), re-enabling Qwen3's built-in chain-of-thought reasoning at inference time.
+
+> **Note:** At 0.6B scale, thinking mode does not improve benchmark performance. (Except over base model which was tested with reasoning.) The model still lacks sufficient capacity to reason coherently across extended thought chains. For best results, use [Meet7 Experimental](https://huggingface.co/Ma7ee7/Meet7_0.6b-experimental) without thinking mode, or [Meet7 0.6B](https://huggingface.co/Ma7ee7/Meet7_0.6b) if BoolQ-style QA is your primary use case.
+
+## Benchmarks
+
+<img src="https://cdn-uploads.huggingface.co/production/uploads/6466047a326128fd2c693cfa/KGguR5E4-kmXnxXCIZ-T5.png" width="750"/>
+
+0-shot evaluation across all four models in the Meet7 family. Scores are `acc_norm`.
+
+| Task | Base | Meet7 | Experimental | Exp_Thinking |
+|------|:----:|:-----:|:------------:|:------------:|
+| BoolQ | 0.3798 | **0.5554** | 0.3991 | 0.3783 |
+| ARC Easy | 0.3384 | 0.3952 | **0.3965** | 0.3662 |
+| ARC Challenge | 0.2841 | 0.3285 | **0.3259** | 0.3012 |
+| HellaSwag | 0.3981 | 0.4205 | **0.4265** | 0.4261 |
+| PIQA | 0.6338 | 0.6583 | **0.6687** | 0.6540 |
+| Winogrande | 0.5225 | 0.5201 | **0.5304** | 0.5241 |
+
+<details>
+<summary>What these measure</summary>
+
+- **BoolQ** — Reading comprehension and yes/no factual grounding
+- **ARC Easy / Challenge** — Grade-school science reasoning; Challenge is the retrieval-resistant subset
+- **HellaSwag** — Commonsense sentence completion
+- **PIQA** — Physical world intuition
+- **Winogrande** — Commonsense pronoun resolution
+
+</details>
+
+## Meet7 Model Family
+
+| Model | Strengths | Weaknesses |
+|-------|-----------|------------|
+| [Meet7 0.6B](https://huggingface.co/Ma7ee7/Meet7_0.6b) | BoolQ (+17.56% vs base) | Less balanced overall |
+| [Meet7 Experimental](https://huggingface.co/Ma7ee7/Meet7_0.6b_Exp) | Best overall balance, wins 4/6 tasks | BoolQ regresses vs Meet7 |
+| Meet7 Exp_Thinking *(this model)* | Thinking mode enabled | **(OUR)** Weakest benchmark scores at 0.6B scale |
+
+## Model Details
+
+| | |
+|---|---|
+| **Developed by** | Ma7ee7 |
+| **License** | Apache-2.0 |
+| **Base model** | Ma7ee7/Meet7_0.6b-experimental |
+| **Original base** | unsloth/Qwen3-0.6B-unsloth-bnb-4bit |
+| **Training samples** | 1800 |
+| **Thinking mode** | Enabled (Qwen3 native) |
+
+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)