license: apache-2.0
base_model: Qwen/Qwen3.8-27B
base_model_relation: quantized
tags:

• gguf
• llama.cpp
• rocm
• amd
• rocmfp4
• rocmfpx
• strix-halo
• gfx1151
• uncensored
• abliterated
• mtp
• speculative-decoding
  pipeline_tag: text-generation

Qwen3.8-27B Uncensored — ROCmFP4 for AMD Strix Halo (gfx1151)

Uncensored ROCmFP4 quantisations of Qwen/Qwen3.8-27B, built with the same ROCmFPX pipeline and the same card ftypes as kingjones777/Qwen3.8-27B-ROCmFP4-STRIX-MTP-GGUF.

Research artifact. Abliteration removes content-refusal. It does not add capability. Do not ship this as a product default. The aligned repo remains the serving default.

Why this build?

The aligned card's finding still stands: the lever is MTP depth, not the ftype. llama.cpp's default --spec-draft-n-max 16 is about half the achievable throughput on this model. The knee is n=4. These uncensored files are the card's FAST (103) and STRIX_LEAN (106) from an abliterated BF16, plus Q6 AGENT/LEAN.

On the aligned family, FAST is dominated (same speed, worst PPL). Prefer 106 here unless you need the smallest file.

Q6 LEAN (ftype 116) is not the card LEAN. Card LEAN = 106.

Which file should I use?

Start with STRIX_LEAN (106) — the card-LEAN equivalent. Take Q6 AGENT (114) if you want protected heads. Do not default to FAST on this architecture.

Ryzen AI Max+ 395, ROCm 7.2.4, MTP --spec-draft-n-max 4, -fa on, ctx 8192, batch 1, temperature 0, thinking off so the 256-token budget is decode. Warm medians of 3.

Quick start

llama-server \
  -m Qwen3.8-27B-Uncensored-ROCmFP4-STRIX_LEAN.gguf \
  --spec-type draft-mtp --model-draft mtp-Qwen3.8-27B-Q4_0.gguf \
  --spec-draft-ngl 99 --spec-draft-device ROCm0 \
  --spec-draft-n-max 4 --spec-draft-n-min 0 --spec-draft-p-min 0.0 \
  -ngl 999 -fa on -dio --jinja -fit off --parallel 1 -dev ROCm0 \
  --chat-template-kwargs '{"enable_thinking":false}' \
  -c 65536 --host 127.0.0.1 --port 8080

Use the Q4_0 draft head, not Q8_0. Official mtp-Qwen3.8-27B-Q4_0.gguf works on this vocab (248k).

Speculative decoding (MTP)

Same recipe as the aligned card. Qwen3.8-27B has nextn_predict_layers = 1 as a separate draft GGUF, not in-model nextn.

Aligned MTP curve (STRIX, 8K): n=3 30.13 · n=4 30.30 (knee, accept 0.926) · n=5 27.52. An earlier sweep on uncensored Q6 LEAN (116) reproduced the same knee: n=3 24.96 · n=4 27.66 · n=5 25.27.

Uncensored findings

Content-refusal scoring on a 24 harmful / 12 harmless / 8 quality research set, greedy. Counts only. Refusal on the uncensored family was scored on Q6 AGENT (114); 4-bit 103/106 are the same checkpoint and should not restore refusals.

Reading:

• Aligned Qwen refuses ~all of this set. Abliterated Qwen complies ~all of it.
• Quality is byte-identical as a score (6/8 both arms, same two fails). Abliteration here removed refusals without moving the smoke check.
• One harmless over-refuse survived on both Qwen arms — the refusal classifier, not a unique unc defect.

Files

Six files. Aligned STRIX/FAST/LEAN are not in this repo.

Quantization

llama-quantize Qwen3.8-27B-Uncensored-BF16.gguf Qwen3.8-27B-Uncensored-ROCmFP4-FAST.gguf Q4_0_ROCMFP4_FAST 16
llama-quantize Qwen3.8-27B-Uncensored-BF16.gguf Qwen3.8-27B-Uncensored-ROCmFP4-STRIX_LEAN.gguf Q4_0_ROCMFP4_STRIX_LEAN 16

No extra --tensor flags — matches the aligned recipe. Architecture is qwen35; no port required.

Architecture note (unchanged)

Dense hybrid attention, 64 layers, full_attention_interval = 4. KV is cheap. Prompt caching does not work on hybrid/recurrent memory in stock llama.cpp — budget full prefill every turn. MTP prompt-cache fix from the aligned repo is optional and not required to load these files.

Known issues

1. Vulkan/CUDA/CPU cannot load these files.
2. --spec-draft-n-max defaults to 16 — set 4.
3. reasoning_effort: "none" throws. Use enable_thinking: false.
4. Small max_tokens + thinking = empty content.
5. This is an uncensored research build. Do not deploy it as the public default.

Not yet measured

License and attribution

Base model: Qwen team, Apache 2.0. MTP draft head redistributed with the Qwen GGUF companions. ROCmFP4 types: ROCmFPX. This repository is quantisation and measurement of an abliterated Qwen3.8-27B checkpoint.

See the aligned card for the MTP depth curve, tool-calling suite, and vision results.