GraySoft
Projects Models Compare Cloud benchmarks FAQ Download guIDE →
Model Intelligence Sheet

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…

ggufrocmfp4strix-halogfx1151mtpspeculative-decodingqwen35moecodeagentictext-generationbase_model:Qwen/Qwen3.6-35B-A3Bbase_model:merge:Qwen/Qwen3.6-35B-A3Bbase_model:deepreinforce-ai/Ornith-1.0-35Bbase_model:merge:deepreinforce-ai/Ornith-1.0-35Blicense:apache-2.0endpoints_compatibleregion:usconversational

Runs locally from ~19.20 GB disk (24 GB VRAM class GPUs with llama.cpp / guIDE).

Downloads
0
Likes
0
Pipeline
text-generation

Repository Files & Downloads

1 GGUF files detected
Direct downloads for local inference
FileTypeQuantizationSizeLink
ornith-1.0-35b-MTP-ROCmFP4-COHERENT.ggufGGUFGGUF19.20 GBDownload

Model Details

Model IDsingulared/Ornith-1.0-35B-MTP-ROCmFP4-GGUF
Authorsingulared
Pipelinetext-generation
Licenseapache-2.0
Base modeldeepreinforce-ai/Ornith-1.0-35B,Qwen/Qwen3.6-35B-A3B
Last modified2026-07-23T00:54:29.000Z

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_K token embeddings),

quantized directly from the BF16 original (deepreinforce-ai/Ornith-1.0-35B) — a single clean

quantization pass, no intermediate Q8 (avoids double-quant).

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.

Download guIDE → · Browse 524k+ models · Compare models

Source: Hugging Face · Compare models