For privacy reasons a browser tells us at most
"≥ 8 GB RAM, 8 cores" - same reading whether you have 8 GB
or 128 GB. It has no idea how much RAM is free right now, which
apps are open, or whether you have a GPU.
The Abliteration app is integrated with your machine
It reads your exact RAM, GPU model and VRAM,
free memory right now, and picks the sharpest quant that
still fits. Every model page lights up precisely for your rig.
And you can chat with any model, right now
The app is a full local runtime - no API keys, no subscription,
everything runs on your machine. Click any model on this site and
start a conversation in seconds.
This is the BF16 version and cannot be hosted with vLLM. TensorRT-LLM is supported but not tested. For the MXFP4 version that is vLLM compatible, check out gpt-oss-120b-uncensored-mxfp4
Evaluation results obtained on Amazon FalseReject test set with 300 samples.
Model Variants
False refusal rate
gpt-oss-120b original (MXFP4)
70%
LoRA (BF16) - this model
6%
LoRA + PTQ (MXFP4)
24%
Code example, documentation, and further QAT checkpoints will be released soon.
README history
1 version
The author's README evolved over time. Click a version to see its content at that point.
2026-09-20Duplicate from huizimao/gpt-oss-120b-uncensored-bf16fb31ac21.1 KB
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Catalog is the map. Apps are the tools.
Run models on your own machine, not in the cloud.
Every model page has an "Open in Abliteration" button that hands the model directly to the first-party desktop client, at the quantization your rig can actually run. No API keys, no subscription, no prompt leakage.