---
base_model: Ma7ee7/Meet7_0.6b
tags:
- text-generation-inference
- transformers
- unsloth
- qwen3
license: apache-2.0
language:
- en
---

# Meet7 0.6B — Experimental

A continued fine-tune of [Meet7 0.6B](https://huggingface.co/Ma7ee7/Meet7_0.6b), trained at a lower learning rate on the same 600-sample dataset. Trades Meet7's sharp BoolQ spike for more balanced commonsense and reasoning gains across the board.

## Benchmarks

<img src="https://cdn-uploads.huggingface.co/production/uploads/6466047a326128fd2c693cfa/KfI9qNkT6jPkuquBL39UT.png" width="600"/>

0-shot evaluation, scores are `acc_norm`.

| Task | Qwen3-0.6B (Base) | Meet7 0.6B | Experimental | Δ vs Base |
|------|:-----------------:|:----------:|:------------:|:---------:|
| BoolQ | 0.3798 | **0.5554** | 0.3991 | +01.93% |
| ARC Easy | 0.3384 | 0.3952 | **0.3965** | +05.81% |
| ARC Challenge | 0.2841 | **0.3285** | 0.3259 | +04.18% |
| HellaSwag | 0.3981 | 0.4205 | **0.4265** | +02.84% |
| PIQA | 0.6338 | 0.6583 | **0.6687** | +03.49% |
| Winogrande | 0.5225 | 0.5201 | **0.5304** | +00.79% |

<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>

## vs Meet7 0.6B

This model is more **balanced** than Meet7. It outperforms Meet7 on HellaSwag, PIQA, and Winogrande — the physical and commonsense intuition tasks — at the cost of Meet7's large BoolQ advantage. If you need consistent commonsense reasoning, prefer this model. If yes/no QA is your primary use case, prefer Meet7.

## Model Details

| | |
|---|---|
| **Developed by** | Ma7ee7 |
| **License** | Apache-2.0 |
| **Base model** | Ma7ee7/Meet7_0.6b |
| **Original base** | unsloth/Qwen3-0.6B-unsloth-bnb-4bit |
| **Training samples** | 600 |
| **Training** | Continued LoRA fine-tune, lower LR |

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)