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
Jan Adds One-Click OpenClaw Installation with Jan-v3-Base Model Integration
Jan now supports one-click installation of OpenClaw with direct integration to the Jan-v3-base model, keeping all operations local and private on your computer.
Noren AI: Voice Extraction Tool Identifies Writing Patterns from Samples
Noren AI analyzes 5-10 writing samples to automatically generate a voice guide based on actual patterns, matching 90% of manually identified patterns and discovering additional ones.
Depct tool collects runtime data to help Claude debug production issues
Depct is a tool that collects runtime instrumentation from Node.js apps, builds graphs from the data, and feeds it to Claude via AWS Bedrock to help debug intermittent production failures. It also generates architecture diagrams and dependency maps from runtime behavior.
Governor: A Claude Code Plugin to Cut Token Waste via Output Compression, Context Slimming, and Tool Filtering
Governor is a Claude Code plugin that reduces token/context waste through compact professional output, memory file compression, tool-output filtering, and drift guardrails. Benchmarks show 55.5% output token savings vs control.