Ornith 1.5 397B-A17B on Apple M3 Ultra (512 GB)

Can the Apple M3 Ultra (512 GB) run Ornith 1.5 397B-A17B?

92 pts

Yes, it runs well

Runs well. At Q4_K_M it needs about 278 GB of 384 GB usable, with an estimated speed of 25.5 tok/s.

Best quant: Q4_K_M
Generation speed: 25.5 tok/s
Prompt processing: 1,036 tok/s
First token (1K prompt): 1.0 s
Largest safe context: 256K

Download Ornith 1.5 397B-A17B

Recommended for the Apple M3 Ultra (512 GB): Q4_K_M. Every other quantization has its own download link in the table below.

Quantized files · GGUF

Works in LM Studio, llama.cpp, Jan and Ollama. No sign-in needed.

Download the Q4_K_M file (opens in a new tab)

huggingface.co/ornith-ai/Ornith-1.5-397B-GGUF (opens in a new tab)

ollama run hf.co/ornith-ai/Ornith-1.5-397B-GGUF:Q4_K_M

Original weights · Hugging Face

Full-precision files from DeepReinforce, for fine-tuning, vLLM, Transformers.

huggingface.co/ornith-ai/Ornith-1.5-397B (opens in a new tab)

No sign-in needed.

Links checked 5 days ago against Hugging Face, Ollama and GitHub.

How the S grade is scored

Every result gets up to 100 points from four parts. The points decide the letter grade.

Model qualityEditorial quality tier of the model, scaled by the quantization or precision used.	40.2 / 45
Memory fitFull marks when everything sits in GPU or unified memory; fewer when part spills to system RAM.	25.0 / 25
SpeedGeneration speed against a 40 tokens/s target for LLMs, or render time against a target for image and video.	12.0 / 15
Memory useRewards using the memory you have, so a bigger, better variant beats a tiny one that leaves most memory idle.	15.0 / 15
Total	92.2 / 100	92 ptsExcellent (S) · 92 of 100 points: Model quality 40.2/45, Memory fit 25.0/25, Speed 12.0/15, Memory use 15.0/15

Grade scale: S 85+ · A 72+ · B 58+ · C 42+ · D 25+ · F under 25 points.

Every quantization on the Apple M3 Ultra (512 GB)

Quant	Memory needed	Available	Speed	Fit	Grade · points	Download
`Q2_K`	193 GB	384 GB	41.8 tok/s	Runs well	81 ptsGreat (A) · 81 of 100 points: Model quality 29.6/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 11.6/15	GGUF files (opens in a new tab)
`Q3_K_M`	229 GB	384 GB	32.9 tok/s	Runs well	87 ptsExcellent (S) · 87 of 100 points: Model quality 35.5/45, Memory fit 25.0/25, Speed 13.6/15, Memory use 13.8/15	GGUF files (opens in a new tab)
`Q4_K_M`	278 GB	384 GB	25.5 tok/s	Runs well	92 ptsExcellent (S) · 92 of 100 points: Model quality 40.2/45, Memory fit 25.0/25, Speed 12.0/15, Memory use 15.0/15	GGUF (opens in a new tab)
`Q5_K_M`	318 GB	384 GB	21.0 tok/s	Runs well	91 ptsExcellent (S) · 91 of 100 points: Model quality 41.0/45, Memory fit 25.0/25, Speed 10.9/15, Memory use 15.0/15	GGUF (opens in a new tab)
`Q6_K`	362 GB	384 GB	17.7 tok/s	Tight fit	90 ptsExcellent (S) · 90 of 100 points: Model quality 41.9/45, Memory fit 24.0/25, Speed 10.0/15, Memory use 15.0/15	GGUF (opens in a new tab)
`Q8_0`	459 GB	384 GB	11.0 tok/s	Heavy offload	69 ptsGood (B) · 69 of 100 points: Model quality 42.3/45, Memory fit 4.0/25, Speed 7.9/15, Memory use 15.0/15	GGUF (opens in a new tab)
`F16`	838 GB	384 GB	—	Won't run	12 ptsWon't run (F) · 12 of 100 points: Model quality 12.7/45, Memory fit 0.0/25, Speed 0.0/15, Memory use 0.0/15	Original weights (opens in a new tab)

Memory figures assume 8K of context. Longer conversations or documents grow the KV cache.

Other hardware that runs it

83 ptsGreat (A) · 83 of 100 points: Model quality 29.6/45, Memory fit 24.0/25, Speed 15.0/15, Memory use 15.0/15 Apple M3 Ultra (256 GB) Q2_K · 41.8 tok/s
62 ptsGood (B) · 62 of 100 points: Model quality 29.6/45, Memory fit 4.0/25, Speed 14.0/15, Memory use 15.0/15 Apple M2 Ultra (192 GB) Q2_K · 34.7 tok/s

Estimates come from published hardware specs and our open formulas, not from running the model on your machine. Real speed varies with runtime, drivers and settings. Numbers marked “Measured” come from a linked benchmark.