ornith-ai/Ornith-1.5-122B
main boardmodel
Text generation model from ornith-ai (HF pipeline tag; the card has no one-line description). Mixture-of-experts, 125B total (256 experts, 8 per token). Context: 256K tokens (config). License: mit.
- Org
- ornith-ai
- Released
- 2026-10-16
- Status
- main board
- License
- mit (permissive)
- Parameters
- 125.1B
- Architecture
- MoE · 256 experts, 8/token · Qwen3_5MoeForConditionalGeneration
- Context
- 262,144 tokens
- Task
- text-generation · text
- Signal
- 171 HF likes · 48477 downloads
Runs on
real quant files; need = weights + FP16 KV cache for 8K tokens + 1GB. A sizing calculation, not tested.
- Q4 ~77.6 GB: 96GB GPU (RTX Pro 6000 Blackwell), 1× DGX Spark (128GB), Strix Halo 128GB unified (~96GB usable), Mac 128GB, CPU only, 128GB RAM (slow)
- Q8 ~134.4 GB: 2× DGX Spark (256GB), Mac 192GB, Mac 256GB, CPU only, 256GB RAM (slow)
- FP16 ~251.2 GB: Mac 512GB
Links
First published here 2026-10-16 · updated 2026-10-20 · markdown · JSON