DeepReinforce · 9.7B · Dense
Self-improving agentic coding model that generates its own training tasks, harnesses and rollouts Check if your GPU or Mac can run Ornith 1.5 9B locally — 5.4 GB min, 9 GB recommended.
2026-08256K context
| Quant | Bits | VRAM | Quality | Status |
|---|---|---|---|---|
| Q2_K | 2 | 3.6 GB | low | — |
| Q3_K_M | 3 | 4.8 GB | moderate | — |
| Q4_K_M | 4 | 5.5 GB | good | — |
| Q5_K_M | 5 | 6.7 GB | good | — |
| Q6_K | 6 | 8 GB | excellent | — |
| Q8_0 | 8 | 10.4 GB | excellent | — |
| F16 | 16 | 20.4 GB | lossless | — |
Can I run Ornith 1.5 9B locally?
- Can I run Ornith 1.5 9B locally?
- Ornith 1.5 9B needs about 5.4 GB of memory at a minimum and 9 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 1.5 9B need?
- At Q4_K_M, Ornith 1.5 9B uses about 5.5 GB of VRAM. Higher quants need more memory; lower quants fit tighter cards with a quality tradeoff.