GPT-OSS 120B Abliterated
Abliterated version of openai/gpt-oss-120b with refusal directions removed from layers 13-25.
What is Abliteration?
Abliteration removes the refusal direction from model weights using norm-preserving biprojected abliteration. This allows the model to respond to all prompts without explicit refusal, while preserving model quality. See the abliteration blog post for details.
Model Details
- Base Model: openai/gpt-oss-120b (Apache 2.0)
- Architecture: MoE, 120B total params, 5.1B active per token
- Format: Safetensors (original precision)
- Abliterated Layers: 13-25 (refusal direction removed)
- Method: jim-plus/llm-abliteration with projected measurement
Usage
Works as a drop-in replacement for gpt-oss-120b with any compatible serving framework (vLLM, SGLang, etc.).
vllm serve joshebbs/gpt-oss-120b-abliterated --quantization mxfp4
Hardware
Tested on 2x NVIDIA DGX Spark (GB10) with TP=2 achieving 57-59 tok/s decode with MXFP4 quantization.
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