cyjin-yl/Qwen3.8-27B-Uncensored-Cyber-agentic-imatrix-GGUF

image-text-to-text model by cyjin-yl

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GGUF quantizations of philbert440/Qwen3.8-27B-Uncensored-Cyber, calibrated on an importance matrix built from real agentic-coding traffic rather than generic English prose. All model weights and behaviour are philbert440's work. This repository contributes only the quantization and the calibration methodology — no fine-tuning, no merging, no behavioural change of any kind was performed here. Inherited from upstream, and stated plainly so nobody is surprised: this is a de-refusal ("abliterated") model specialized for the cyber/offensive-security domain. The vision tower and the MTP speculative-decoding head are preserved upstream, which is what makes the multimodal path and the MTP graft work at all. Read the base model's card before using it — it documents the recipe and the evaluation. The two model files have identical IQ4XS/imatrix text weights. The plus-mtp file adds the MTP tensors from the matching upstream model; use it only with a runtime that recognizes that graft. For a conventional GGUF loader, use…

cyjin-yl/Qwen3.8-27B-Uncensored-Cyber-agentic-imatrix-GGUF on Hugging Face A short preview, not the full document.

Read the full model card ↗ · Preview checked 2026-10-30T19:30:05.360Z

Inside the original model card — Document outline
  1. Qwen3.8-27B-Uncensored-Cyber — GGUF quantized with an agentic imatrix
  2. Files
  3. Why a different calibration corpus
  4. Calibration corpus
  5. How it was made
  6. Honest caveats
  7. Context
  8. Lineage
  9. Credits
  10. License
  11. 实测数据(2026-08-20)
  12. 质量: 留出集配对困惑度

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Documentation belongs to its respective authors. Reported project/model license: apache-2.0. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.

Model overview

cyjin-yl/Qwen3.8-27B-Uncensored-Cyber-agentic-imatrix-GGUF is a image-text-to-text model repository published by cyjin-yl 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)
38,149
Cumulative likes
181
Hugging Face trending score
106
Reported safetensors parameters
Not reported
Architecture
Not reported
License
apache-2.0
Access
Not gated by Hugging Face
Created
2026-08-19T22:19:00.000Z
Last modified
2026-08-20T12:59:16.000Z

Compatibility and lineage

Language coverage was not reported.

Reported base models: philbert440/Qwen3.8-27B-Uncensored-Cyber

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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Model card and usage instructions

Model files and configuration

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Source and freshness

Source: Hugging Face Hub. Metadata observed 2026-09-23T06:37:23.610Z. Daily imports are snapshots, not real-time monitoring.

Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.

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