Ornith-1.5-35B-A3B
Q4 GGUF download: ornith-ai/Ornith-1.5-35B-A3B-GGUF - 21.71 GB on disk, read 2026-10-26. VRAM figures above are estimates; this is the actual file size.
Will it run on your hardware?
Pick your GPU memory - see which quantizations fit, and the cheapest card for the rest
Need an exact figure for your context length? Use the VRAM calculator.
Run it locally
Copy-paste - running in under a minute
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Deep dive
Notes, sources, and the full write-up
Frequently asked
Quick answers to common questions
How much VRAM does Ornith-1.5-35B-A3B need?
Ornith-1.5-35B-A3B with 36B parameters needs approximately 21 GB at Q4_K_M quantization. Use our VRAM calculator for an exact estimate.
Is Ornith-1.5-35B-A3B better than other ornith-ai models?
Ornith-1.5-35B-A3B has 36B parameters with 262,144 context - a strong choice for general use.
What license is Ornith-1.5-35B-A3B under?
Ornith-1.5-35B-A3B is released under the mit license, making it suitable for most commercial and personal projects.
What hardware runs Ornith-1.5-35B-A3B well?
With 36B parameters, Ornith-1.5-35B-A3B requires adequate VRAM. High-end GPUs like the RTX 4090 (24GB), RTX 5090 (32GB), or Mac Studio with unified memory are good options. Check our hardware directory for specific recommendations.
What is the best quantization for Ornith-1.5-35B-A3B?
Q4_K_M is the recommended sweet spot - ~98% of FP16 quality at ~27% of the size. Q5_K_M (~26 GB) is an option if you have spare VRAM. Use our VRAM calculator to compare.
How long can Ornith-1.5-35B-A3B's context window handle?
Ornith-1.5-35B-A3B supports a 262,144-token context window - enough for very long documents, codebases, or multi-turn conversations. Real-world usable context may vary by implementation.
What models compete with Ornith-1.5-35B-A3B?
Ornith-1.5-35B-A3B competes with other 18B–54B. Browse our model directory for comparisons, benchmarks, and community reviews to find the best fit.
Nearby options
Similar models and compatible hardware by spec