DeepReinforce · 9B · 密集（Dense）
Self-improving agentic coding model optimized for terminal and software engineering tasks 看看你的 GPU 或 Mac 跑不跑得動 Ornith 1.0 9B——最低 5 GB，建議 8.4 GB。
2026-06256K context
| 量化 | 位元 | VRAM | 品質 | 狀態 |
|---|---|---|---|---|
| Q2_K | 2 | 3.4 GB | low | — |
| Q3_K_M | 3 | 4.5 GB | moderate | — |
| Q4_K_M | 4 | 5.1 GB | good | — |
| Q5_K_M | 5 | 6.3 GB | good | — |
| Q6_K | 6 | 7.4 GB | excellent | — |
| Q8_0 | 8 | 9.7 GB | excellent | — |
| F16 | 16 | 18.9 GB | lossless | — |
Can I run Ornith 1.0 9B locally?
- Can I run Ornith 1.0 9B locally?
- Ornith 1.0 9B needs about 5 GB of memory at a minimum and 8.4 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 9B need?
- At Q4_K_M, Ornith 1.0 9B uses about 5.1 GB of VRAM. Higher quants need more memory; lower quants fit tighter cards with a quality tradeoff.