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Expwwwn/GLM-5.3-Flash-UNCENSORED-FP8

AI model by Expwwwn

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CRACK · guardrails removed at the weight level · native FP8 speed · vision + MTP working a CRACK release by dealignai · Twitter @dealignai Also mirrored at dealignai/GLM-5.3-Flash-ABLITERATED-FP8. CRACK is dealignai's brand for permanent, weight-level uncensoring. This is GLM-5.3-Flash in FP8 with its refusal behavior — which caused heavy over-refusal, especially on copyright and other benign-but-flagged requests — removed directly in the model weights. FP8 runs at native speed on Hopper (H100/H200) GPUs. Genuine weight modification — none of the usual shortcuts: Identical logit-mode scoring on base vs. this model, 1,026 questions: HarmBench-320 (greedy): Robust under the recommended sampling params too (temperature 1.0, topp 0.95): the 6 harshest behaviors sampled 5× each → 30/30 complied, 0 refusals, 0 soft refusals, 0 garbage. The crack is not a greedy-decoding artifact. Scores are at reasoning-off / default (max) effort — the recommended modes — where the crack is fully uncensored. Low…

Expwwwn/GLM-5.3-Flash-UNCENSORED-FP8 on Hugging Face A short preview, not the full document.

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Inside the original model card — Document outline
  1. GLM 5.3 CRACK Uncensored FP8
  2. What Is This?
  3. Specs
  4. Speed (TP4, native FP8 on H200)
  5. Capability Is Preserved — and Improved (MMLU-logit)
  6. Guardrails Are Gone
  7. A Note on KL Divergence
  8. MMLU by Topic (base → CRACK)
  9. Usage
  10. Credits
  11. Disclaimer

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Model overview

Expwwwn/GLM-5.3-Flash-UNCENSORED-FP8 is a task-unspecified model repository published by Expwwwn on Hugging Face. A library was not reported.

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Model facts

Task
Not reported
Library
Not reported
Recent downloads (30 days)
0
Cumulative likes
0
Hugging Face trending score
0
Reported safetensors parameters
321,323,031,390
Architecture
Glm5NextForConditionalGeneration
License
mit
Access
Not gated by Hugging Face
Created
2026-11-14T06:32:35.000Z
Last modified
2026-11-14T06:32:35.000Z

Compatibility and lineage

Reported languages: en

Reported base models: zai-org/GLM-5.3-Flash

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.

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Source: Hugging Face Hub. Metadata observed 2026-11-14T06:58:56.869Z. Daily imports are snapshots, not real-time monitoring.

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