gsrunion/Ornith-1.0-9B-ROCmFPX-GGUF overview
Ornith 1.0 9B — ROCmFPX quants for AMD Strix Halo ROCmFPX family GGUF quantizations of deepreinforce ai/Ornith 1.0 9B https://huggingface.co/deepreinforce ai/O…
Runs locally from ~879.0 MB disk (4 GB VRAM class GPUs with llama.cpp / guIDE).
Repository Files & Downloads
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| Ornith-1.0-9B-Q4_0_ROCMFP4_STRIX.gguf | GGUF | Q4_0_ROCMFP4_STRIX | 4.74 GB | Download |
| Ornith-1.0-9B-Q4_0_ROCMFP4_STRIX_LEAN.gguf | GGUF | Q4_0_ROCMFP4_STRIX_LEAN | 4.62 GB | Download |
| Ornith-1.0-9B-Q6_0_ROCMFPX_STRIX_QUALITY.gguf | GGUF | Q6_0_ROCMFPX_STRIX_QUALITY | 7.83 GB | Download |
| Ornith-1.0-9B-Q8_0_ROCMFPX_AGENT.gguf | GGUF | Q8_0_ROCMFPX_AGENT | 8.77 GB | Download |
| mmproj-BF16.gguf | GGUF | BF16 | 879.0 MB | Download |
Model Details
| Model ID | gsrunion/Ornith-1.0-9B-ROCmFPX-GGUF |
|---|---|
| Author | gsrunion |
| Pipeline | text-generation |
| License | mit |
| Base model | deepreinforce-ai/Ornith-1.0-9B |
| Last modified | 2026-07-22T21:14:06.000Z |
Model README
---
license: mit
language:
- en
base_model: deepreinforce-ai/Ornith-1.0-9B
base_model_relation: quantized
pipeline_tag: text-generation
library_name: gguf
tags:
- gguf
- rocmfp4
- rocmfpx
- quantized
- imatrix
- amd
- rocm
- strix-halo
- agent
- hal0
---
Ornith-1.0-9B — ROCmFPX quants for AMD Strix Halo
ROCmFPX-family GGUF quantizations of deepreinforce-ai/Ornith-1.0-9B, produced for AMD Strix Halo (Ryzen AI Max, gfx1151) and the hal0 home inference platform.
> ⚠️ These files require the Hal0ai/Hal0_ROCmFPX llama.cpp fork (or the ghcr.io/hal0ai/hal0-rocmfpx container image that hal0 uses). Stock llama.cpp will reject the tensor types (invalid ggml type 101).
Files
| File | Quant | BPW | Size | Notes |
|---|---|---|---|---|
| Ornith-1.0-9B-Q4_0_ROCMFP4_STRIX_LEAN.gguf | Q4_0_ROCMFP4_STRIX_LEAN | 4.42 | 4.96 GB | Size-biased Strix recipe, Q5_K token embeddings — best size/speed |
| Ornith-1.0-9B-Q4_0_ROCMFP4_STRIX.gguf | Q4_0_ROCMFP4_STRIX | 4.54 | 5.09 GB | Quality-biased attention K/V recipe |
| Ornith-1.0-9B-Q6_0_ROCMFPX_STRIX_QUALITY.gguf | Q6_0_ROCMFPX_STRIX_QUALITY | 7.50 | 8.41 GB | FP6 bulk + Q8 protected tensors — near-lossless daily driver |
| Ornith-1.0-9B-Q8_0_ROCMFPX_AGENT.gguf | Q8_0_ROCMFPX_AGENT | 8.41 | 9.42 GB | Agent profile: protects embeddings, attn Q/K/V/O and select FFN tensors for tool-calling / JSON fidelity |
| mmproj-BF16.gguf | BF16 | — | 0.92 GB | Vision projector (Ornith is multimodal) — load alongside any quant |
| imatrix_unsloth.gguf_file | — | — | 5 MB | Importance matrix used for calibration (from unsloth, included for reproducibility) |
Measured performance
On AMD Ryzen AI Max+ 395 (Strix Halo, 128 GB unified LPDDR5X, ROCm backend, hal0-rocmfpx image):
- Q4_0_ROCMFP4_STRIX_LEAN: 42 tok/s decode, 317 tok/s prompt processing (32K ctx slot) — ≈200 GB/s effective bandwidth, near the platform's memory-bandwidth ceiling.
How they were made
BF16 GGUF source and imatrix from unsloth/Ornith-1.0-9B-GGUF, quantized with the Hal0_ROCmFPX fork's llama-quantize:
llama-quantize --imatrix imatrix_unsloth.gguf_file \
Ornith-1.0-9B-BF16.gguf Ornith-1.0-9B-Q4_0_ROCMFP4_STRIX_LEAN.gguf \
Q4_0_ROCMFP4_STRIX_LEAN
(same invocation per type for the other three)
Serving on hal0
hal0 model pull gsrunion/Ornith-1.0-9B-ROCmFPX-GGUF # or download + add-from-path
hal0 slot create ornith --type llm --hardware rocm --model <id> --ctx-size 32768
curl -sS --max-time 300 -X POST http://127.0.0.1:8080/api/slots/ornith/load
Credits
- Base model: deepreinforce-ai — Ornith-1.0-9B (MIT)
- BF16 GGUF conversion + imatrix: unsloth
- ROCmFPX quant formats + fork: Hal0ai
Run gsrunion/Ornith-1.0-9B-ROCmFPX-GGUF with guIDE
Download guIDE — the AI-native code editor with local LLM inference and 69 built-in tools.
Source: Hugging Face · Compare models