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helixdouble/GLM-5.1-FP8-Abliterated-v2-SoftRefusal-Research-Checkpoint
GLM-5.1-FP8-Abliterated-v2-SoftRefusal-Research-Checkpoint is a text generation model from helixdouble. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as agpl-3.0.
[update:] Follow-up evaluation found this v2 regex bake actually outperformed the later v3 label-colored checkpoint at removing "I cannot..." refusal openers — the v3 direction diluted the refusal signal by blending i…
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From the Hugging Face model README
[update:] Follow-up evaluation found this v2 regex bake actually outperformed the later v3 label-colored checkpoint at removing "I cannot..." refusal openers — the v3 direction diluted the refusal signal by blending it with an orthogonal soft-disclaimer component. v2 is the preferred checkpoint for refusal removal and is being retained as such.
This is a research checkpoint, not a fully benchmarked release. It is an FP8 direct-weight abliteration of GLM-5.1-FP8, retained because it remains the strongest refusal-removal bake in this study.
This checkpoint appears to have substantially reduced hard refusal behavior, but it has not cleanly removed the broader safety/disclaimer style prior.
Note on prompt counts: the refusal direction was extracted from 1000 balanced prompt pairs (see What Changed / Provenance). The "100" figures below are a small evaluation smoke test only — not the calibration/extraction set. Don't read the 100 as the size of the abliteration data.
Latest local smoke evaluation, run on 2026-06-14:
/workspace/glm5-fp8-ablit_t0_mw2.0Additional provisional taxonomy from the saved 100 outputs:
Important caveat: the 100-prompt run used a 100-token generation cap, so many completions are visibly cut off. These numbers should be treated as directional triage only, not a publishable evaluation.
This checkpoint is a direct FP8 weight bake at strength mw2.0, using a 1000 balanced prompt-pair refusal-direction extraction pass. It is not healed. A healing pass may be run later.
The current result should be understood as:
This is the preferred checkpoint for refusal-removal research and comparison:
Treat it as a research checkpoint rather than a final, fully benchmarked release.
The next pass should avoid blindly increasing strength. The better plan is to collect residual examples from the 100-output batch and split them into:
If v3 is run, it should target the residual refusal/disclaimer style cases specifically, ideally with a benign control set to check collateral damage.
zai-org/GLM-5.1-FP8mw2.0Originally uploaded 2026-06-14; retained as the preferred refusal-removal checkpoint.