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kingjones777/Ling-3.0-flash-VL-MTP-ROCmFP4-GGUF

AI model by kingjones777

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inclusionAI/Ling-3.0-flash-VL (124B total / 5.5B active, native multimodal) quantized to ROCmFP4 for AMD Strix Halo, with a multi-token-prediction head grafted in from its text sibling — and with the server fix that lets MTP and images work at the same time, which they do not in stock llama.cpp. Everything below was measured on the shipped files on one Ryzen AI Max+ 395 (Radeon 8060S, 128 GiB unified). Numbers come from the built GGUFs and from server logs, never from estimates. Take STRIXLEAN. It has the best perplexity and the best prefill, at 4 GB less than COHERENT. If your runtime cannot do draft-mtp, take the no-MTP file instead — see Running without MTP. ⚠️ COHERENT is the worst of the three on this model even though it is the largest and the highest bit-width (4.70 bpw vs 4.38). Its PPL is 0.80 worse than STRIXLEAN — roughly 3.5σ against the…

kingjones777/Ling-3.0-flash-VL-MTP-ROCmFP4-GGUF on Hugging Face A short preview, not the full document.

Read the full model card ↗ · Preview checked 2026-10-30T06:14:27.186Z

Inside the original model card — Document outline
  1. Ling-3.0-flash-VL + MTP — ROCmFP4 for AMD Strix Halo (gfx1151)
  2. Which file should I use?
  3. Quick start
  4. Speed: making it fast
  5. Backend: ROCm0 prefills, Vulkan0 decodes
  6. The grafted MTP head
  7. Vision — and MTP at the same time
  8. Running without MTP
  9. Reasoning controls
  10. Tool calling
  11. Memory
  12. Quantization methodology

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kingjones777/Ling-3.0-flash-VL-MTP-ROCmFP4-GGUF is a task-unspecified model repository published by kingjones777 on Hugging Face. A library was not reported.

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Created
2026-09-19T05:50:39.000Z
Last modified
2026-09-19T06:15:03.000Z

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