Expwwwn/GLM-5.3-UNCENSORED-FP8
text-generation model by Expwwwn
From the publisher
Model card & documentation
Source previewRead the publisher’s intended use, setup instructions, evaluations and limitations. The original model card is the source of truth.
General-purpose weight-level uncensoring · native FP8 speed on Hopper a CRACK release by dealignai · Twitter @dealignai Full-spectrum general-purpose uncensor of GLM-5.3-FP8. Refusal behavior is reduced across a broad multilingual harm taxonomy — not tuned for a single domain. Genuine weight modification — no fine-tuning, no LoRA, no runtime hooks, no prompt tricks. A permanent bf16 edit baked into the residual-writer tensors. Load with stock vLLM and it just works. If you specifically want a cybersecurity-focused variant, use the sibling model dealignai/GLM-5.3-CYBERSECURITY-FP8. An earlier v1 release hit a reasoning-loop failure mode on 2% of the hardest refusal-signal prompts (verbatim copyright, weapons chemistry, exploit-vs-real-target) — content would collapse into repetition before emitting. v2 (this release) fixes that: 0 loops on the hardcore probe, 0 GARBAGE on HB-320. Trade-off: 4pp lower overall TRUECOMPLY on HB-320 in exchange for zero-loop stability; on the actual harm surface (non-copyright, 240 behaviors) v2 is stronger than…
Read the full model card ↗ · Preview checked 2026-11-14T07:40:44.308Z
Inside the original model card — Document outline
- GLM 5.3 CRACK — Uncensored FP8
- What this is
- v2 — reasoning-loop fix
- Base model
- Serve (TP8 on 8× H200)
- Capability preservation — MMLU-logit vs base
- Compliance behavior — HarmBench-320, greedy
- Overall (all 320 behaviors)
- Non-copyright compliance (240 behaviors — the real harm surface)
- v1 vs v2 comparison (all 320)
- Per-topic breakdown (off / max) — v2
- Low-effort sample (15 hard prompts, hardcore probe)
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Documentation belongs to its respective authors. Reported project/model license: mit. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
Model overview
Expwwwn/GLM-5.3-UNCENSORED-FP8 is a text-generation model repository published by Expwwwn on Hugging Face. A library was not reported.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- text-generation
- Library
- Not reported
- Recent downloads (30 days)
- 0
- Cumulative likes
- 0
- Hugging Face trending score
- 0
- Reported safetensors parameters
- 753,329,940,480
- Architecture
- GlmMoeDsaForCausalLM
- License
- mit
- Access
- Not gated by Hugging Face
- Created
- 2026-11-14T06:32:40.000Z
- Last modified
- 2026-11-14T06:32:40.000Z
Compatibility and lineage
Reported languages: en, zh, ru, sr, hi, fr, es, ar, ko, ja
Reported base models: zai-org/GLM-5.3, JANGQ-AI/GLM-5.3-FP8
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
Check license terms and access requirements first. Review the model card’s documented loading instructions, evaluations and safety limitations. Benchmark scores are not imported by this directory, and popularity is not an accuracy ranking.
No model weights are downloaded or executed by AltAPIs. Never enable remote model code without reviewing it.
Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-11-14T06:58:56.869Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.