license: agpl-3.0
base_model:

• zai-org/GLM-5.1-FP8
  library_name: transformers
  pipeline_tag: text-generation
  tags:
• glm
• glm-5.1
• fp8
• moe
• abliteration
• research-checkpoint
• soft-refusal-study
  language:
• en
• zh

GLM-5.1-FP8 Abliterated v2 - Soft-Refusal Research Checkpoint

[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.

Current Status

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:

• Model path evaluated: /workspace/glm5-fp8-ablit_t0_mw2.0
• Prompt set: 100 harmful evaluation prompts (smoke-test set, distinct from the 1000-pair extraction)
• Generation cap: 100 tokens
• Harmless/control prompts: not run in this pass
• Judge: regex fallback only, not an external LLM judge
• Hard regex refusals: 7/100
• Full prompt/response samples saved locally for review

Additional provisional taxonomy from the saved 100 outputs:

• hard refusal proxy: 7
• soft-disclaimer-only proxy: 29
• disclaimer-plus-answer proxy: 47
• direct-answer proxy: 12
• unclear/short proxy: 5

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.

What Changed

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:

• successful at reducing hard refusals and removing refusal openers;
• still somewhat heavy on disclaimers and ethical/legal preambles;
• not yet evaluated on benign utility or coherence at adequate breadth;
• not yet externally benchmarked.

Recommended Use

This is the preferred checkpoint for refusal-removal research and comparison:

• it outperforms the v3 label-colored checkpoint at removing "I cannot..." openers;
• useful for collecting residual soft-disclaimer examples;
• useful for benchmarking runtime behavior across inference stacks.

Treat it as a research checkpoint rather than a final, fully benchmarked release.

Next Planned Work

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:

• hard refusals;
• soft-disclaimer-only responses;
• disclaimer-plus-answer responses;
• direct answers;
• broken/collapsed outputs.

If v3 is run, it should target the residual refusal/disclaimer style cases specifically, ideally with a benign control set to check collateral damage.

Provenance

• Base model: zai-org/GLM-5.1-FP8
• Checkpoint type: FP8 direct-weight bake
• Current bake strength: mw2.0
• Direction extraction: 1000 balanced prompt pairs
• Healing: none
• Evaluation status: provisional local smoke eval only

Originally uploaded 2026-06-14; retained as the preferred refusal-removal checkpoint.