Ornith 1.0 35B-A3B

MIT

DeepReinforce Β· 35B (3B active) Β· Mixture of Experts

Agentic coding MoE with a 3B active working set and self-improving training Check if your GPU or Mac can run Ornith 1.0 35B-A3B locally β€” 19.6 GB min, 32.6 GB recommended.

2026-06256K context

Mixture of Experts

Total experts: 256
Active experts: 8
Active params: 3.0B

Quantization Options

QuantBitsVRAMQualityStatus
Q2_K211.7 GBlowβ€”
Q3_K_M316.2 GBmoderateβ€”
Q4_K_M418.4 GBgoodβ€”
Q5_K_M522.9 GBgoodβ€”
Q6_K627.4 GBexcellentβ€”
Q8_0836.4 GBexcellentβ€”
F161672.2 GBlosslessβ€”

Can I run Ornith 1.0 35B-A3B locally?

Can I run Ornith 1.0 35B-A3B locally?
Ornith 1.0 35B-A3B needs about 19.6 GB of memory at a minimum and 32.6 GB recommended. Open this page to grade it against your GPU or Mac, then run it with runai, Ollama or LM Studio.
How much VRAM does Ornith 1.0 35B-A3B need?
At Q4_K_M, Ornith 1.0 35B-A3B uses about 18.4 GB of VRAM. Higher quants need more memory; lower quants fit tighter cards with a quality tradeoff.