license: apache-2.0 base_model: openai/gpt-oss-120b tags:
- uncensored
- abliterated
- gguf
- mxfp4
- moe
- gpt-oss language:
- en
GPTOSS-120B-Uncensored-HauhauCS-Aggressive
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Uncensored version of GPT-OSS 120B by OpenAI. This is the aggressive variant - tuned harder for fewer refusals.
No changes to datasets or capabilities. Fully functional, 100% of what the original authors intended - just without the refusals.
Format
MXFP4 GGUF. This is the model's native precision - GPT-OSS was trained in MXFP4, so no further quantization is needed or recommended. Re-quantizing would only lose quality.
Works with llama.cpp, LM Studio, Ollama, and anything else that loads GGUFs.
Downloads
| File | Size |
|---|---|
| GPTOSS-120B-Uncensored-HauhauCS-Aggressive-MXFP4.gguf | 61 GB |
Specs
- 117B total parameters, ~5.1B active per forward pass (MoE: 128 experts, top-4 routing)
- 128K context
- Based on openai/gpt-oss-120b
Recommended Settings
temperature: 1.0top_k: 40- Everything else (top_p, min_p, repeat penalty, etc.) should be disabled - some clients enable these by default, turn them off
Required flag: --jinja to enable the Harmony response format (the model won't work correctly without it).
For llama.cpp:
llama-server -m model.gguf --jinja -fa -b 2048 -ub 2048
LM Studio
Compatible with Reasoning Effort custom buttons. To use them, put the model in:
LM Models\lmstudio-community\gpt-oss-120b-GGUF\
Hardware
Fits in ~61GB VRAM. Single H100 or equivalent. For lower VRAM, use --n-cpu-moe N in llama.cpp to offload MoE layers to CPU.