README.md

---
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)

Don't just take my word for it. Test the model right now under the exact conditions shown in the video demonstration.

[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](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)

### Recommended Inference Parameters

For best results, I suggest using the following generation parameters:
*   **Temperature:** 0.7
*   **Top P:** 0.8
*   **Top K:** 20
*   **Min P:** 0.0

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