Yes — Qwen3 4B runs on 8 GB laptop
Qwen3 4B (4B) needs 3.3GB VRAM at Q5 vs your 8GB VRAM. Estimated ~7–10 tok/s (RAM offload).
Laptop / 6 GB card model. Surprisingly useful for chat and light coding.
| quant | weights | + KV 8k | fits 0GB? |
|---|---|---|---|
| Q4 | 2.6GB | ~2.8GB | × tight/no |
| Q5 | 3.3GB | ~3.5GB | × tight/no |
| Q8 | 4.6GB | ~4.8GB | × tight/no |
| FP16 | 8GB | ~8.2GB | × tight/no |
File size ≠ runtime. KV grows with context — halve to 4k/2k if long chats OOM. Leave 1–2GB free.
Can Qwen3 4B run on 8 GB laptop?
Qwen3 4B (4B) needs 3.3GB VRAM at Q5 vs your 8GB VRAM. Estimated ~7–10 tok/s (RAM offload). Model context 32k. 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 Q5. Bigger model at Q4 beats smaller at Q8. Only go Q8 if 2GB+ headroom remains.
About ~7–10 tok/s (RAM offload) when 100% on GPU. Any CPU offload drops speed 5–20× — check ollama ps.
Yes — Apache-2.0 allows commercial use.