akumaburn/Swift-Qwen3.8-27b-heretic

image-text-to-text model by akumaburn

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A BF16 abliteration (censorship removal) of UkisAI/Swift-Qwen3.8-27b (a merged LoRA finetune of Qwen/Qwen3.8-27B), produced with Heretic. Numerics only — no additional training. The vision tower and the BF16 MTP (speculative-decoding) head are preserved; native 262 144-token context is unchanged. Source: UkisAI/Swift-Qwen3.8-27b (LoRA finetune of Qwen/Qwen3.8-27B, merged into the weights). Heretic identifies the residual-stream direction that mediates refusals and ablates it from the attention/MLP output projections, tuned to remove refusals while minimizing divergence from the source. Refusals (100 mlabonne/harmfulbehaviors prompts): The model no longer emits hard refusals ("I can't help with that"). The keyword metric (markers such as "illegal", "harmful") additionally flags 18 / 100 responses, of which 18 are caveat-only answers that did comply but mention a flagged word — a measurement floor, not residual censorship. A residual 26 % of harmful prompts carry heuristic soft-deflection cues — the model reasons, in its think block, toward the lawful inverse of…

akumaburn/Swift-Qwen3.8-27b-heretic on Hugging Face A short preview, not the full document.

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  1. Swift-Qwen3.8-27B — Heretic Abliterated (BF16)
  2. This model vs. its source
  3. Usage
  4. Variants
  5. Safety
  6. Licence
  7. Disclaimer

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Model overview

akumaburn/Swift-Qwen3.8-27b-heretic is a image-text-to-text model repository published by akumaburn 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
image-text-to-text
Library
Not reported
Recent downloads (30 days)
0
Cumulative likes
0
Hugging Face trending score
0
Reported safetensors parameters
27,356,728,560
Architecture
Qwen3_5ForConditionalGeneration
License
other
Access
Not gated by Hugging Face
Created
2026-09-18T06:26:12.000Z
Last modified
2026-09-18T06:35:01.000Z

Compatibility and lineage

Language coverage was not reported.

Reported base models: UkisAI/Swift-Qwen3.8-27b, Qwen/Qwen3.8-27B

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 2026-09-18T06:35:09.247Z. Daily imports are snapshots, not real-time monitoring.

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