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ArtomYuan/Qwen3.8-27B-ROCmFPX

AI model by ArtomYuan

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ROCmFPX quantized GGUF (7 tiers + vision mmproj) of Qwen/Qwen3.8-27B — official BF16 weights, locally requantized. This repository uses strix.cpp, a llama.cpp fork specifically tuned for the AMD Strix Halo gfx1151 (Ryzen AI MAX+ 395) UMA architecture and ROCm/HIP backend, with native support for the ROCmFPX quantization format. Requires strix.cpp (this fork supports ROCmFPX; upstream llama.cpp cannot load these files — format note at the end). SHA-256 checksums for all files: see sha256.txt. Measured on AMD Strix Halo (gfx1151) with the same prompt and generation lengths: llama.cpp-rocm is build 11107; strix.cpp is build f879d83c. llama.cpp-rocm numbers are the mean of the last 4 of 5 shots; strix.cpp numbers are the mean of 5 shots (first shot included). MTP is useful…

ArtomYuan/Qwen3.8-27B-ROCmFPX on Hugging Face A short preview, not the full document.

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Inside the original model card — Document outline
  1. Qwen3.8-27B-ROCmFPX
  2. Engine: strix.cpp (tuned for gfx1151 / AI MAX 395)
  3. ⚡ Quick Start
  4. 🎯 Which tier? (3-second decision)
  5. Model Overview
  6. Files
  7. Quantization Tiers
  8. Benchmarks (llama-bench)
  9. Comparison: llama.cpp-rocm vs strix.cpp
  10. pp256 (t/s)
  11. pp2048 (t/s)
  12. tg256 (t/s)

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Model overview

ArtomYuan/Qwen3.8-27B-ROCmFPX is a task-unspecified model repository published by ArtomYuan on Hugging Face. A library was not reported.

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Created
2026-09-27T06:32:26.000Z
Last modified
2026-09-27T06:32:38.000Z

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