| --- |
| license: apache-2.0 |
| datasets: |
| - bralynn/tl1 |
| - bralynn/omnirepeats |
| - bralynn/consolegusser |
| - bralynn/ui |
| - bralynn/think1 |
| base_model: |
| - huihui-ai/Huihui-Qwen3-4B-Thinking-2507-abliterated |
| --- |
| |
| ## 🚀 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) |
|
|
| --- |
|
|
| ## Model Details |
| * **Model Type:** Causal Language Model |
| * **Number of Parameters:** 4.0B |
| * **Number of Parameters (Non-Embedding):** 3.6B |
| * **Number of Layers:** 36 |
| * **Number of Attention Heads (GQA):** 32 for Q, 8 for KV |
| * **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: |
| * **Temperature:** 0.7 |
| * **Top P:** 0.8 |
| * **Top K:** 20 |
| * **Min P:** 0.0 |
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| How to Contribute & Provide Feedback |
| For any and all feedback, please open a Community discussion tab on this model repository or join our Discord! |
| Discord: https://discord.gg/RqwqMGhqaC |
|
|
