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@@ -8,4 +8,32 @@ datasets:
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  - bralynn/think1
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  base_model:
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  - huihui-ai/Huihui-Qwen3-4B-Thinking-2507-abliterated
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  - bralynn/think1
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  base_model:
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  - huihui-ai/Huihui-Qwen3-4B-Thinking-2507-abliterated
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+ ---
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+
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+ ## 🚀 Try It Yourself (for free)
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+
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+ Don't just take my word for it. Test the model right now under the exact conditions shown in the video demonstration.
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+ [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1c8WCvsVovCjIyqPcwORX4c_wQ7NyIrTP?usp=sharing)
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+
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+ ---
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+
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+ ## Model Details
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+ * **Model Type:** Causal Language Model
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+ * **Number of Parameters:** 4.0B
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+ * **Number of Parameters (Non-Embedding):** 3.6B
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+ * **Number of Layers:** 36
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+ * **Number of Attention Heads (GQA):** 32 for Q, 8 for KV
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+ * **Context Length:** 262,144 tokens (native)
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+
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+ ### Recommended Inference Parameters
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+
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+ For best results, I suggest using the following generation parameters:
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+ * **Temperature:** 0.7
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+ * **Top P:** 0.8
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+ * **Top K:** 20
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+ * **Min P:** 0.0
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+
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+ How to Contribute & Provide Feedback
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+ For any and all feedback, please open a Community discussion tab on this model repository or join our Discord!
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+ Discord: https://discord.gg/RqwqMGhqaC