DeepReinforce · 35B (3B active) · 专家混合（MoE）
Agentic coding MoE with a 3B active working set and self-improving training 看看你的 GPU 或 Mac 跑不跑得動 Ornith 1.0 35B-A3B——最低 19.6 GB，建議 32.6 GB。
2026-06256K context
专家混合（MoE）
专家总数： 256
启用专家： 8
启用参数： 3.0B
| 量化 | 位元 | VRAM | 品質 | 状態 |
|---|---|---|---|---|
| Q2_K | 2 | 11.7 GB | low | — |
| Q3_K_M | 3 | 16.2 GB | moderate | — |
| Q4_K_M | 4 | 18.4 GB | good | — |
| Q5_K_M | 5 | 22.9 GB | good | — |
| Q6_K | 6 | 27.4 GB | excellent | — |
| Q8_0 | 8 | 36.4 GB | excellent | — |
| F16 | 16 | 72.2 GB | lossless | — |
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.