NVIDIA · 8B · Dense
Gemma 4 E4B post-trained by NVIDIA for local voice and device assistants — multi-turn tool use in 4 GB Check if your GPU or Mac can run Nemotron 3.5 Bolt E4B locally — 4.5 GB min, 7.5 GB recommended.
2026-1064K context
| Quant | Bits | VRAM | Quality | Status |
|---|---|---|---|---|
| Q2_K | 2 | 3.1 GB | low | — |
| Q3_K_M | 3 | 4.1 GB | moderate | — |
| Q4_K_M | 4 | 4.6 GB | good | — |
| Q5_K_M | 5 | 5.6 GB | good | — |
| Q6_K | 6 | 6.6 GB | excellent | — |
| Q8_0 | 8 | 8.7 GB | excellent | — |
| F16 | 16 | 16.9 GB | lossless | — |
Can I run Nemotron 3.5 Bolt E4B locally?
- Can I run Nemotron 3.5 Bolt E4B locally?
- Nemotron 3.5 Bolt E4B needs about 4.5 GB of memory at a minimum and 7.5 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 Nemotron 3.5 Bolt E4B need?
- At Q4_K_M, Nemotron 3.5 Bolt E4B uses about 4.6 GB of VRAM. Higher quants need more memory; lower quants fit tighter cards with a quality tradeoff.