jegreene/Swift-1.5-Qwen3.8-27B-heretic-GSQ-RCO-GGUF

image-text-to-text model by jegreene

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This is a partially decensored build of UkisAI's Swift 1.5 Qwen3.8-27B, made with Heretic. It is packaged as a single-file llama.cpp GGUF and quantized the same way as UkisAI's own GSQ-RCO -mtp releases, using the same per-tensor allocations and the same imatrix. Three sizes are provided: IQ3S, IQ3XXS and IQ2S. It includes the MTP head, for speculative decoding, and a vision projector (mmproj) built from Swift's own vision tower. If you like this model, please donate (BTC): All three GGUFs are quantized from the same abliterated weights and share the one mmproj file. IQ3S is the recommended file. The two smaller ones trade quality for size: MTP acceptance figures. The IQ3XXS and IQ2S files have been checked tensor by tensor against UkisAI's allocations, but they have not been benchmarked or speed-tested. their own (non-abliterated) files at the same tiers: IQ3S 0.051, IQ3XXS 0.098, IQ2S 0.135. The abliteration's own 0.082 comes…

jegreene/Swift-1.5-Qwen3.8-27B-heretic-GSQ-RCO-GGUF on Hugging Face A short preview, not the full document.

Read the full model card ↗ · Preview checked 2026-10-31T07:05:28.212Z

Inside the original model card — Document outline
  1. Swift 1.5 Qwen3.8-27B — Heretic (abliterated) · GSQ-RCO GGUF (IQ3S, IQ3XXS, IQ2S, all with MTP)
  2. Files
  3. How uncensored is it? Read this first
  4. Benchmarks
  5. Performance notes
  6. Usage (llama.cpp)
  7. Chat template notes
  8. How it was made
  9. Intended use and responsibility
  10. License
  11. Credits

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Model overview

jegreene/Swift-1.5-Qwen3.8-27B-heretic-GSQ-RCO-GGUF is a image-text-to-text model repository published by jegreene on Hugging Face. The source reports the gguf library.

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
gguf
Recent downloads (30 days)
732,223
Cumulative likes
27
Hugging Face trending score
7
Reported safetensors parameters
Not reported
Architecture
Not reported
License
other
Access
Not gated by Hugging Face
Created
2026-09-29T13:29:15.000Z
Last modified
2026-10-27T22:16:19.000Z

Compatibility and lineage

Language coverage was not reported.

Reported base models: ukisai/Swift-1.5-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.

Use and evaluate

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Model card and usage instructions

Model files and configuration

Community discussion

Source and freshness

Source: Hugging Face Hub. Metadata observed 2026-11-01T06:51:30.840Z. 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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