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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…

ggufrocmfp4rocmfpxquantizedimatrixamdrocmstrix-haloagenthal0text-generationenbase_model:deepreinforce-ai/Ornith-1.0-9Bbase_model:quantized:deepreinforce-ai/Ornith-1.0-9Blicense:mitendpoints_compatibleregion:usconversational

Runs locally from ~879.0 MB disk (4 GB VRAM class GPUs with llama.cpp / guIDE).

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text-generation
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Repository Files & Downloads

5 GGUF files detected
Direct downloads for local inference
FileTypeQuantizationSizeLink
Ornith-1.0-9B-Q4_0_ROCMFP4_STRIX.ggufGGUFQ4_0_ROCMFP4_STRIX4.74 GBDownload
Ornith-1.0-9B-Q4_0_ROCMFP4_STRIX_LEAN.ggufGGUFQ4_0_ROCMFP4_STRIX_LEAN4.62 GBDownload
Ornith-1.0-9B-Q6_0_ROCMFPX_STRIX_QUALITY.ggufGGUFQ6_0_ROCMFPX_STRIX_QUALITY7.83 GBDownload
Ornith-1.0-9B-Q8_0_ROCMFPX_AGENT.ggufGGUFQ8_0_ROCMFPX_AGENT8.77 GBDownload
mmproj-BF16.ggufGGUFBF16879.0 MBDownload

Model Details

Model IDgsrunion/Ornith-1.0-9B-ROCmFPX-GGUF
Authorgsrunion
Pipelinetext-generation
Licensemit
Base modeldeepreinforce-ai/Ornith-1.0-9B
Last modified2026-07-22T21:14:06.000Z

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

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