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Model: Ma7ee7/Meet7_0.6b_Exp_Q8
Source: Original Platform

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Meet7_0.6b.Q8_0.gguf

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README.md

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+---
+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)

config.json

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+{
+    "architectures": [
+        "Qwen3ForCausalLM"
+    ],
+    "attention_bias": false,
+    "attention_dropout": 0.0,
+    "torch_dtype": "bfloat16",
+    "eos_token_id": 151645,
+    "head_dim": 128,
+    "hidden_act": "silu",
+    "hidden_size": 1024,
+    "initializer_range": 0.02,
+    "intermediate_size": 3072,
+    "layer_types": [
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention"
+    ],
+    "max_position_embeddings": 40960,
+    "max_window_layers": 28,
+    "model_type": "qwen3",
+    "num_attention_heads": 16,
+    "num_hidden_layers": 28,
+    "num_key_value_heads": 8,
+    "pad_token_id": 151669,
+    "rms_norm_eps": 1e-06,
+    "rope_scaling": null,
+    "rope_theta": 1000000,
+    "sliding_window": null,
+    "tie_word_embeddings": true,
+    "unsloth_fixed": true,
+    "unsloth_version": "2026.3.4",
+    "use_cache": true,
+    "use_sliding_window": false,
+    "vocab_size": 151936
+}