AWS · 5B · Dense
Strands Decider on Gemma 4 E2B — calibrated yes/no, choice and score answers in one pass Check if your GPU or Mac can run Strands Decider E2B locally — 2.8 GB min, 4.7 GB recommended.
2026-10256K context
| Quant | Bits | VRAM | Quality | Status |
|---|---|---|---|---|
| Q2_K | 2 | 2.1 GB | low | — |
| Q3_K_M | 3 | 2.7 GB | moderate | — |
| Q4_K_M | 4 | 3.1 GB | good | — |
| Q5_K_M | 5 | 3.7 GB | good | — |
| Q6_K | 6 | 4.3 GB | excellent | — |
| Q8_0 | 8 | 5.6 GB | excellent | — |
| F16 | 16 | 10.7 GB | lossless | — |
Can I run Strands Decider E2B locally?
- Can I run Strands Decider E2B locally?
- Strands Decider E2B needs about 2.8 GB of memory at a minimum and 4.7 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 Strands Decider E2B need?
- At Q4_K_M, Strands Decider E2B uses about 3.1 GB of VRAM. Higher quants need more memory; lower quants fit tighter cards with a quality tradeoff.