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license: apache-2.0 |
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datasets: |
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- bralynn/tl1 |
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- bralynn/omnirepeats |
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- bralynn/consolegusser |
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- bralynn/ui |
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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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## 🚀 Try It Yourself (for free) |
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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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[](https://colab.research.google.com/drive/1c8WCvsVovCjIyqPcwORX4c_wQ7NyIrTP?usp=sharing) |
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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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### Recommended Inference Parameters |
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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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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 |
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