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Ma7ee7/Meet7_0.6b_Exp_Thinking
Meet7_0.6b_Exp_Thinking is a text generation model from Ma7ee7. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as apache-2.0.
A thinking trained variant of Meet7 0.6B Experimental, re-enabling Qwen3's built-in chain-of-thought reasoning at inference time.
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From the Hugging Face model README
A thinking trained variant of Meet7 0.6B Experimental, 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 without thinking mode, or Meet7 0.6B if BoolQ-style QA is your primary use case.
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 |
| Model | Strengths | Weaknesses |
|---|---|---|
| Meet7 0.6B | BoolQ (+17.56% vs base) | Less balanced overall |
| Meet7 Experimental | 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 |
| 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 and Hugging Face TRL.