Yes — Llama 3.2 3B runs on 8 GB laptop
Llama 3.2 3B (3B) needs 3.4GB VRAM at Q8 vs your 8GB VRAM. Estimated ~6–8 tok/s (RAM offload).
Edge / CPU-only. Fine for summarization and short chat on 8 GB laptops.
| quant | weights | + KV 8k | fits 0GB? |
|---|---|---|---|
| Q4 | 2GB | ~2.2GB | × tight/no |
| Q5 | 2.5GB | ~2.7GB | × tight/no |
| Q8 | 3.4GB | ~3.6GB | × tight/no |
| FP16 | 6GB | ~6.2GB | × tight/no |
File size ≠ runtime. KV grows with context — halve to 4k/2k if long chats OOM. Leave 1–2GB free.
Can Llama 3.2 3B run on 8 GB laptop?
Llama 3.2 3B (3B) needs 3.4GB VRAM at Q8 vs your 8GB VRAM. Estimated ~6–8 tok/s (RAM offload). Model context 128k. Compare with all models or re-check with your exact specs on the bench.
Unload with ollama stop, cap layers --num-gpu 28, cut context to 2k. See the OOM fixer on the homepage.
Start Q8. Bigger model at Q4 beats smaller at Q8. Only go Q8 if 2GB+ headroom remains.
About ~6–8 tok/s (RAM offload) when 100% on GPU. Any CPU offload drops speed 5–20× — check ollama ps.
Llama 3.2 — check terms before commercial use. Filter commercial-safe on the bench.