JonathanColetti/Qwen3.8-27B-Uncensored-GGUF

text-generation model by JonathanColetti

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Uncensored Qwen3.8-27B, published as GGUF quantizations with the multi token prediction (MTP) head retained and verified. Refusal behaviour has been substantially reduced, not eliminated. See Measured behaviour for the numbers. Capabilities, training data, and architecture are otherwise unchanged. co minimizes refusal count against KL divergence from the base model. No handwritten refusal removal code, no finetuning, no additional training data. bf16 base, so the published weights are not a quantized round trip. never touches them. Instead abliteration modifies attn.oproj and mlp.downproj in the main stack. slightly. Speculative decoding verifies every token against the target, so output quality is unaffected. calibration sees the real weights. The draft head ships at Q80 and Q40, the same weights at two precisions. Q80 is the default and is what the speculative decoding tables below were measured with. Q40 saves 1.5 GB for tight VRAM budgets, and its acceptance rate has not been measured here.…

JonathanColetti/Qwen3.8-27B-Uncensored-GGUF on Hugging Face A short preview, not the full document.

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  1. Qwen3.8-27B-Uncensored-GGUF
  2. Table of Contents
  3. Method
  4. Whats here
  5. Overview
  6. Files
  7. Perplexity
  8. Baseline against the unmodified base model
  9. How the baseline was measured
  10. Importance matrix
  11. Building other low bit quants yourself
  12. Third party quants

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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

JonathanColetti/Qwen3.8-27B-Uncensored-GGUF is a text-generation model repository published by JonathanColetti on Hugging Face. The source reports the llama.cpp library.

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Model facts

Task
text-generation
Library
llama.cpp
Recent downloads (30 days)
2,569,357
Cumulative likes
1,840
Hugging Face trending score
79
Reported safetensors parameters
Not reported
Architecture
Not reported
License
apache-2.0
Access
Not gated by Hugging Face
Created
2026-08-14T03:43:36.000Z
Last modified
2026-08-29T04:18:18.000Z

Compatibility and lineage

Reported languages: en, zh

Reported base models: 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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Model card and usage instructions

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Source: Hugging Face Hub. Metadata observed 2026-11-01T06:51:29.042Z. Daily imports are snapshots, not real-time monitoring.

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