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kingjones777/Qwen3.5-27B-ROCmFP4-GGUF overview

Qwen3.5 27B — ROCmFP4 / ROCmFPX GGUF First ROCmFP4/ROCmFPX quantization of Qwen/Qwen3.5 27B . Four quants, built from the Hub BF16 GGUF no re conversion , each…

ggufrocmfp4rocmfpxstrix-halogfx1151amdrocmqwenmultimodalquantizedimage-text-to-textbase_model:Qwen/Qwen3.5-27Bbase_model:quantized:Qwen/Qwen3.5-27Blicense:apache-2.0endpoints_compatibleregion:usconversational

Runs locally from ~888.0 MB disk (4 GB VRAM class GPUs with llama.cpp / guIDE).

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Repository Files & Downloads

5 GGUF files detected
Direct downloads for local inference
FileTypeQuantizationSizeLink
Qwen3.5-27B-Q4_0_ROCMFP4_COHERENT.ggufGGUFQ4_0_ROCMFP4_COHERENT14.72 GBDownload
Qwen3.5-27B-Q6_0_ROCMFPX_AGENT.ggufGGUFQ6_0_ROCMFPX_AGENT23.22 GBDownload
Qwen3.5-27B-Q8_0_ROCMFPX.ggufGGUFQ8_0_ROCMFPX25.92 GBDownload
Qwen3.5-27B-Q8_0_ROCMFPX_AGENT.ggufGGUFQ8_0_ROCMFPX_AGENT26.28 GBDownload
mmproj-BF16.ggufGGUFBF16888.0 MBDownload

Model Details

Model IDkingjones777/Qwen3.5-27B-ROCmFP4-GGUF
Authorkingjones777
Pipelineimage-text-to-text
Licenseapache-2.0
Base modelQwen/Qwen3.5-27B
Last modified2026-08-17T19:02:33.000Z

Model README

---

license: apache-2.0

base_model: Qwen/Qwen3.5-27B

base_model_relation: quantized

pipeline_tag: image-text-to-text

library_name: gguf

tags: [gguf, rocmfp4, rocmfpx, strix-halo, gfx1151, amd, rocm, qwen, multimodal, quantized]

---

Qwen3.5-27B — ROCmFP4 / ROCmFPX GGUF

First ROCmFP4/ROCmFPX quantization of Qwen/Qwen3.5-27B. Four quants, built from the Hub

BF16 GGUF (no re-conversion), each individually verified on real hardware.

Built for AMD Strix Halo (gfx1151) — Ryzen AI MAX+ 395, 128 GB unified — with the

ROCmFPX llama.cpp fork.

> ⚠️ Needs a ROCmFPX-capable llama.cpp build. These will not load in stock

> llama.cpp / Ollama / LM Studio.

Variants

| file | ftype | size | token_embd | decode | correctness |

|---|---|---|---|---|---|

| Qwen3.5-27B-Q4_0_ROCMFP4_COHERENT.gguf | 102 | 14.72 GiB | Q6_K | 12.08 t/s | 3/3 |

| Qwen3.5-27B-Q6_0_ROCMFPX_AGENT.gguf | 114 | 23.22 GiB | Q8_0 | 7.11 t/s | 3/3 |

| Qwen3.5-27B-Q8_0_ROCMFPX.gguf | 111 | 25.92 GiB | Q8_0 | 7.17 t/s | 3/3 |

| Qwen3.5-27B-Q8_0_ROCMFPX_AGENT.gguf | 115 | 26.28 GiB | Q8_0 | 7.22 t/s | 3/3 |

mmproj-BF16.gguf is included — required for image input (-fa off).

Which to pick: the 4-bit (102) — fastest and smallest, same answers as the 8-bits.

⚠️ Q6_0_ROCMFPX_AGENT (114) is the weakest choice here: larger than the 4-bit and

slower than the plain 8-bit. The AGENT recipe raises speculative-draft acceptance, and

Qwen3.5-27B ships no drafter, so that benefit cannot apply. It is included for completeness.

Measured — not estimated

Hardware: Ryzen AI MAX+ 395 (Strix Halo, gfx1151), 128 GB unified.

-ngl 999 -c 4096 -fa on -fit off. 300 tokens, warm-up discarded, median of 3.

| ftype | run 1 / 2 / 3 | median | spread |

|---|---|---|---|

| 102 | 12.09 12.04 12.08 | 12.08 | 1.004 |

| 114 | 7.06 7.11 7.11 | 7.11 | 1.007 |

| 111 | 7.11 7.17 7.17 | 7.17 | 1.008 |

| 115 | 7.13 7.22 7.24 | 7.22 | 1.015 |

No MTP/EAGLE drafter ships with this model, so these are the deployed numbers with

nothing left on the table.

Speculative decoding

Qwen ships no official MTP/draft head for Qwen3.5-27B — verified against the base repo file list

and config.json (unlike Qwen3.8-27B, which does). The decode figures above are therefore

no-speculation numbers.

However, classic draft-model speculation should work, because every Qwen3.5 model shares the

same vocabulary (248320) and architecture (qwen35):

llama-server -m Qwen3.5-27B-Q4_0_ROCMFP4_COHERENT.gguf \
  --spec-type draft-simple --model-draft Qwen3.5-0.8B-Q4_0_ROCMFP4_COHERENT.gguf \
  --spec-draft-ngl 99 --spec-draft-n-max 3 -ngl 999 -c 4096 -fa on -fit off

⚠️ We have not measured this — the box was needed elsewhere before the test completed. It is

offered as a documented, plausible route, not a benchmarked claim. If you try it, the levers that

mattered on comparable models were --spec-draft-n-max (sweep 2–5) and using the smallest

drafter that still accepts well.

Third-party heads exist (VirVen/Qwen3.5-27B-EAGLE3-v2, selimaktas/Flow-Drafter-Qwen3.5-27B) but

are SGLang-specific or research artifacts and do not load in llama.cpp.

Head protection

Qwen3.5-27B does not tie embeddings — it has a real output.weight, and both it and

token_embd are protected (Q6_K on the 4-bit, Q8_0 on the rest). Audited by exact

tensor name. Note the smaller Qwen3.5 models do tie, so the same flags behave

differently across this family — pass both.

  15804651168  Qwen3.5-27B-Q4_0_ROCMFP4_COHERENT.gguf
  24936068768  Qwen3.5-27B-Q6_0_ROCMFPX_AGENT.gguf
  27834807968  Qwen3.5-27B-Q8_0_ROCMFPX.gguf
  28214425248  Qwen3.5-27B-Q8_0_ROCMFPX_AGENT.gguf

Credits

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