AWS · 2B · Dense
AWS Strands Labs' open decision model — a LoRA adapter and readout head on Qwen 3.5 2B for routing, tool selection and guardrails Check if your GPU or Mac can run Strands Decider 2B locally — 1.1 GB min, 2 GB recommended.
2026-1032K context
| Quant | Bits | VRAM | Quality | Status |
|---|---|---|---|---|
| Q2_K | 2 | 1.1 GB | low | — |
| Q3_K_M | 3 | 1.4 GB | moderate | — |
| Q4_K_M | 4 | 1.5 GB | good | — |
| Q5_K_M | 5 | 1.8 GB | good | — |
| Q6_K | 6 | 2 GB | excellent | — |
| Q8_0 | 8 | 2.5 GB | excellent | — |
| F16 | 16 | 4.6 GB | lossless | — |
Can I run Strands Decider 2B locally?
- Can I run Strands Decider 2B locally?
- Strands Decider 2B needs about 1.1 GB of memory at a minimum and 2 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 2B need?
- At Q4_K_M, Strands Decider 2B uses about 1.5 GB of VRAM. Higher quants need more memory; lower quants fit tighter cards with a quality tradeoff.