singulared/Ornith-1.0-35B-MTP-ROCmFP4-GGUF overview
Ornith 1.0 35B MTP — ROCmFP4 Strix Halo ⚠️ Requires the ROCmFPX fork https://github.com/charlie12345/ROCmFPX of llama.cpp — this will NOT load on mainline llam…
Runs locally from ~19.20 GB disk (24 GB VRAM class GPUs with llama.cpp / guIDE).
Repository Files & Downloads
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| ornith-1.0-35b-MTP-ROCmFP4-COHERENT.gguf | GGUF | GGUF | 19.20 GB | Download |
Model Details
| Model ID | singulared/Ornith-1.0-35B-MTP-ROCmFP4-GGUF |
|---|---|
| Author | singulared |
| Pipeline | text-generation |
| License | apache-2.0 |
| Base model | deepreinforce-ai/Ornith-1.0-35B,Qwen/Qwen3.6-35B-A3B |
| Last modified | 2026-07-23T00:54:29.000Z |
Model README
---
license: apache-2.0
base_model:
- deepreinforce-ai/Ornith-1.0-35B
- Qwen/Qwen3.6-35B-A3B
base_model_relation: merge
pipeline_tag: text-generation
library_name: gguf
tags:
- gguf
- rocmfp4
- strix-halo
- gfx1151
- mtp
- speculative-decoding
- qwen35moe
- code
- agentic
---
Ornith-1.0-35B-MTP — ROCmFP4 (Strix Halo)
> ⚠️ Requires the ROCmFPX fork of llama.cpp — this will NOT load on mainline llama.cpp.
> ROCmFP4 is an experimental AMD FP4 quant format (ggml tensor types 100–107) that only exists in that fork.
> Targets AMD Strix Halo / Radeon 8060S (gfx1151). For standard GGUF that runs anywhere, use the base repo:
> → singulared/Ornith-1.0-35B-MTP-GGUF (Q8_0 / Q4_K_M, mainline llama.cpp).
Ornith-1.0-35B (DeepReinforce, a qwen35moe
agentic coder) with an embedded MTP (nextn) head grafted in, quantized to ROCmFP4-COHERENT
for fast self-speculative decoding on Strix Halo.
What it is / provenance
- Body:
Q4_0_ROCMFP4_COHERENT(4.70 bpw — ROCmFP4 experts +Q6_Ktoken embeddings),
quantized directly from the BF16 original (deepreinforce-ai/Ornith-1.0-35B) — a single clean
quantization pass, no intermediate Q8 (avoids double-quant).
- MTP head:
blk.40.nextn.*grafted raw fromQwen/Qwen3.6-35B-A3B's
native head (same qwen35moe arch), after quantization — so eh_proj stays at its original Q8_0.
The head's eh_proj precision is the throughput lever, and grafting it raw keeps it high. Ornith is a
barely-shifted fine-tune of Qwen3.6-35B-A3B, so the head transfers cleanly (~88% draft acceptance).
Performance (Radeon 8060S / gfx1151, ROCmFPX fork · 19.2 GiB)
Recommended: Vulkan (-dev Vulkan0) — best decode, which dominates a coder's token cost:
- decode: 86.7 t/s (MTP
n4,-ub 2048) · 72 t/s without MTP · draft acceptance 0.88 - prefill: ~1050 t/s (pp4096,
-ub 2048)
Backend / ROCm-version comparison (-ub 2048)
| backend | prefill (pp4096) | decode (MTP n4) |
|---|---:|---:|
| Vulkan | 1051 | 86.7 |
| ROCm/HIP @ ROCm 7.2 | 876 | 70.5 |
| ROCm/HIP @ ROCm 7.15.0a20260721 nightly (compiled) | 1155 | 68.1 |
- Vulkan wins decode decisively (86.7 vs 70.5) → the serving default (decode dominates a coder's token cost).
- Compiling the fork against ROCm 7.15 gives +32% ROCm prefill (876→1155, beating Vulkan's) — but it's
the slowest decode, so it only helps prefill-bound work. The gain is compile-time (running a
7.2-built binary on 7.15 libs does nothing). **⚠ ROCm 7.15 is the current TheRock
nightly, not a stable release** — specifically therock-dist-linux-gfx1151-7.15.0a20260721
(build 2026-07-21), built against the nightly tarball, not a packaged ROCm. Newer nightlies may differ.
- Numbers are gfx1151-specific; other Strix Halo parts may differ.
Usage (ROCmFPX fork)
llama-server -m ornith-1.0-35b-MTP-ROCmFP4-COHERENT.gguf \
-dev Vulkan0 -fa on -ngl 99 -c 131072 --jinja \
--spec-type draft-mtp --spec-draft-n-max 4 --spec-draft-p-min 0.6 --alias ornith
The MTP head is embedded — no separate draft model. --spec-draft-n-max 4 is the MoE sweet spot
(deeper drafts get rejected). Build the fork per its Strix Halo quickstart.
Licensing & attribution
Derivative of two permissively-licensed models; both credited, their licenses apply to their parts:
- Ornith-1.0-35B — © DeepReinforce — MIT — the base weights.
- Qwen3.6-35B-A3B — © Alibaba Cloud / Qwen — Apache-2.0 — the grafted MTP head.
Quantization: ROCmFP4-COHERENT (ROCmFPX fork). Not affiliated with or endorsed by DeepReinforce, Qwen, or the ROCmFPX author.
Run singulared/Ornith-1.0-35B-MTP-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