kingjones777/Llama-4-Scout-17B-16E-Instruct-ROCmFP4-GGUF overview
⚠️ STOCK llama.cpp WILL NOT LOAD THIS MODEL Q4 0 ROCMFP4 COHERENT ftype 102 exists only in charlie12345/ROCmFPX https://github.com/charlie12345/ROCmFPX . Stock…
Runs locally from ~1.63 GB disk (4 GB VRAM class GPUs with llama.cpp / guIDE).
Repository Files & Downloads
Model Details
| Model ID | kingjones777/Llama-4-Scout-17B-16E-Instruct-ROCmFP4-GGUF |
|---|---|
| Author | kingjones777 |
| Pipeline | image-text-to-text |
| License | other |
| Base model | meta-llama/Llama-4-Scout-17B-16E-Instruct |
| Last modified | 2026-08-16T23:46:58.000Z |
Model README
---
license: other
license_name: llama4
base_model: meta-llama/Llama-4-Scout-17B-16E-Instruct
base_model_relation: quantized
tags: [gguf, llama.cpp, rocm, gfx1151, strix-halo, amd, ryzen-ai-max-395, rocmfp4, rocmfpx, llama4, llama-4, scout, moe, vision, multimodal]
language: [en]
pipeline_tag: image-text-to-text
---
> ### ⚠️ STOCK llama.cpp WILL NOT LOAD THIS MODEL
>
> Q4_0_ROCMFP4_COHERENT (ftype 102) exists only in
> charlie12345/ROCmFPX. Stock llama.cpp reports
> invalid ggml type. Ignore the auto-generated "Use this model" commands above.
>
> ⚠️ -fa off is required — flash attention breaks the vision path on gfx1151.
>
> 56.98 GiB · 17.72 tok/s on a Ryzen AI MAX+ 395 (Strix Halo, gfx1151).
Llama-4-Scout-17B-16E-Instruct — ROCmFP4 (tier 102 COHERENT) GGUF
The first ROCmFP4 build of Llama 4 Scout. 109B total / 17B active MoE with vision, quantized
for AMD gfx1151 (Ryzen AI MAX+ 395 / Strix Halo).
| | |
|---|---|
| File | Llama-4-Scout-17B-16E-Instruct-Q4_0_ROCMFP4_COHERENT.gguf |
| Size | 56.98 GiB (61,182,279,392 B) |
| BPW | 4.54 |
| ftype | Q4_0_ROCMFP4_COHERENT (102) |
| Tensors | 628 · 480 at q4_0_rocmfp4 |
| Architecture | 48 layers · hidden 5120 · 16 experts, 1 active/token · vision patch 14 |
Quantized from unsloth's BF16 GGUF (200.8 GiB, 5 shards, byte-verified against the Hub) — a
lossless source, not a requantization and not our own re-conversion.
Recipe
--output-tensor-type q6_K --token-embedding-type q6_K ... Q4_0_ROCMFP4_COHERENT 16
⭐ --output-tensor-type q6_K is what actually protects the LM head — the COHERENT tier
alone still leaves output.weight at 4-bit. Audited in the finished file: output.weight q6_K,
token_embd.weight q6_K.
---
Measured
Ryzen AI MAX+ 395, gfx1151, ROCm. -ngl 999 -c 4096 -fa off -fit off --mmproj.
Median of 3, warm-up discarded, otherwise-idle box.
| | |
|---|---|
| Decode | 17.72 tok/s (17.69 / 17.72 / 17.74 — tight) |
| Load | 48 s cold, 22 s warm |
Correctness (max_tokens: 1024): 17×23 ⇒ ✅ 391 · capital of Japan ⇒ ✅ Tokyo ·
days in 2024 ⇒ ✅ 366
Vision (-fa off + bundled BF16 mmproj):
| image | result |
|---|---|
| 256×256 solid red | ✅ Red. |
| 256×256 shapes | ✅ red square · green circle · blue triangle · yellow border · black background |
| 512×512 | ⛔ failed to encode image slice — server dies |
⚠️ Use images at or near 256×256. 512×512 fails to encode on this build. The projector is
fine — 256×256 reads colour and shape and spatial layout correctly — but larger images hit an
encode-slice limit. Resize before sending.
No draft head. This model ships no MTP/EAGLE/nextn tensors
(common_speculative_init: no implementations specified), so there is no speculative-decoding
speedup to enable and no acceptance-length figure to quote.
---
What was NOT measured
- No perplexity run, and no quality A/B against the BF16 source.
- No long-context testing. · No tool-calling evaluation.
- Vision was smoke-tested on synthetic images only — no vision benchmark.
Base model licence (Llama 4 Community License) inherited; all credit for the weights goes to Meta.
Run kingjones777/Llama-4-Scout-17B-16E-Instruct-ROCmFP4-GGUF with guIDE
Download guIDE — the AI-native code editor with local LLM inference and 69 built-in tools.
Source: Hugging Face · Compare models