metadata
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.
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
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