Qwen3.5-9B-Claude-4.6-Opus-Uncensored-v2 Model Released with LM Studio Configuration
Model Details and Availability
The Qwen3.5-9B-Claude-4.6-Opus-Uncensored-v2-Q4_K_M-GGUF model is now available on HuggingFace. This model was created by merging two existing models: Jackrong's Qwen3.5-9B-Claude-4.6-Opus-Reasoning-Distilled-v2-GGUF and HauhauCS's Qwen3.5-9B-Uncensored-HauhauCS-Aggressive.
The merge preserves all training data and maintains accuracy on the Qwen 3.5 9B architecture using Float32 precision during the merging process. The model is trained on the Claude Opus 4.6 dataset available at https://huggingface.co/datasets/Roman1111111/claude-opus-4.6-10000x.
Recommended Configuration
For best performance in LM Studio 0.4.7 (build 4), use these settings:
- System Prompt: https://pastebin.com/pU25DVnB
- Temperature: 0.7
- Top K Sampling: 20
- Repeat Penalty: (disabled) or 1.0
- Presence Penalty: 1.5
- Top P Sampling: 0.8
- Min P Sampling: 0.0
- Seed: 3407
Performance and Hardware
On an RTX 3060, the model achieves 42 tokens per second in LM Studio. The creator notes it can run even faster on llama-server. The model was created in response to requests from users on Reddit and HuggingFace who wanted a big context window in uncensored smart local AI without requiring powerful GPUs.
The model is available at: https://huggingface.co/LuffyTheFox/Qwen3.5-9B-Claude-4.6-Opus-Uncensored-v2-GGUF
📖 Read the full source: r/LocalLLaMA
👀 See Also
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