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Dragoy/Swift-Qwen3.8-27B-abliterated-NVFP4-DFlash2

Dragoy 27B second-order
curl -H "Authorization: Bearer $ABL_KEY" \
     "https://abliteration.org/api/v1/models/Dragoy%2FSwift-Qwen3.8-27B-abliterated-NVFP4-DFlash2"
Response includes
  • classification m1
  • files 5
  • author_summary 3 models
  • readme_text full
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Abliteration classifier · v1.0.0
M1
Primary method

Direct removal

No other method signals detected in this model.
Confidence
MEDIUM
Why this label 3 signals
Method inferred from partial signals - repository name, related files, or tag patterns. Producer identity not confirmed; label may sharpen or shift as we gather more evidence.
  • 'abliterated' in name/tags
  • is_gguf=0 (base model)
  • no specific method indicators - defaulting to M1 (most common)
Refusal direction extracted via
Extraction technique

Difference-of-means

Confidence
MEDIUM
Why we say so
primary_method=M1; difference-of-means is the reference extraction for M1/M3 (Arditi 2024)
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created 2026-09-18

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Metadata

License
apache-2.0
Tags
transformers safetensors qwen3_5 image-text-to-text nvfp4 fp8 qwen3.8 abliterated uncensored multimodal mtp dflash2

Related

Total size
3.58 GB
Files
5
Quantizations
1
Registered
2026-09-18 18:56
Last updated on HF
2026-09-18 20:15

Files by quantization

Auxiliary files 5 files 3.58 GB
model.safetensors 3.58 GB 67fc76d6 download
LICENSE 11.3 KB f938136e download
README.md 3.46 KB 87ef9f0b download
config.json 1.21 KB 79279cc5 download
.gitattributes 54.0 B 279ed54b download

README current version from Hugging Face


license: apache-2.0
library_name: transformers
pipeline_tag: text-generation
base_model: Dragoy/Swift-Qwen3.8-27B-abliterated-NVFP4
tags:

  • dflash2
  • speculative-decoding
  • block-diffusion
  • draft-model
  • qwen3.8
  • qwen3_5
  • abliterated
  • uncensored
  • vllm
  • sglang
  • transformers

Swift-Qwen3.8-27B-abliterated-NVFP4-DFlash2

DFlash 2 draft model for
Dragoy/Swift-Qwen3.8-27B-abliterated-NVFP4
— the standard HF (NVFP4+FP8) checkpoint of the huihui-style abliterated
Swift-Qwen3.8-27b.

It is not a standalone language model: it runs inside a speculative
decoding server and drafts tokens for the target model to verify. DFlash 2 is
a block-diffusion drafter — it predicts a whole block of tokens in a
single pass and keeps the top candidates at every position; a lightweight
selector then traces one coherent path through them. Decoding is
lossless: greedy output matches the target model exactly, and sampling
preserves the target distribution.

This repository is a byte-identical mirror of
z-lab/Qwen3.8-27B-DFlash2 @
50307d4c — the same revision that was baked into the
dflash2 component of the
NInfer artifact, so both
stacks (standard HF/vLLM/SGLang and NInfer) use one drafter.

Specs

Target Dragoy/Swift-Qwen3.8-27B-abliterated-NVFP4
Source z-lab/Qwen3.8-27B-DFlash2 @ 50307d4c (Apache-2.0)
Draft 5-layer Qwen3-style transformer, 1.92B params, BF16, sliding-window attention (2048)
DFlash 2 config block size 8 (7 draft tokens per verification step), mask token 248070, target layers [5, 19, 33, 47, 61]
model.safetensors 3.849 GB — sha256 67fc76d68dc5a9415511a4f394ef744d67510cd20e93b37cc2cc7d28e4bab65c
config.json sha256 873e3556509b0da06e29654ba00d4944888d4b5e8a33afde25f7eb27d321e980
Published 2026-09-18

Quick Start

Serve the target with vLLM:

vllm serve Dragoy/Swift-Qwen3.8-27B-abliterated-NVFP4 \
  --max-model-len 32768 --gpu-memory-utilization 0.9 \
  --speculative-config '{{
    "method": "dflash",
    "model": "Dragoy/Swift-Qwen3.8-27B-abliterated-NVFP4-DFlash2",
    "num_speculative_tokens": 7
  }}'

Or with SGLang:

python -m sglang.launch_server \
  --model-path Dragoy/Swift-Qwen3.8-27B-abliterated-NVFP4 \
  --speculative-algorithm DFLASH \
  --speculative-draft-model-path Dragoy/Swift-Qwen3.8-27B-abliterated-NVFP4-DFlash2 \
  --speculative-num-draft-tokens 8

Verified on target

SMOKE_RESULTS_PLACEHOLDER

Notes

  • The drafter was trained on the base
    Qwen/Qwen3.8-27B; the target is
    an abliterated derivative (refusal-direction removal, format/weight change,
    no fine-tuning), so acceptance is expected to be close to the
    base-model numbers.
  • DFlash 2: blog ·
    github.com/z-lab/dflash

License

Draft weights: Apache-2.0
(z-lab/Qwen3.8-27B-DFlash2).
The target model is under the Swift Open License v1.0 — see the
target repository for the full chain.

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