Yes — Nomic Embed Text v1.5 runs on 8 GB laptop
Nomic Embed Text v1.5 (137M) needs 0.5GB VRAM at FP16 vs your 8GB VRAM. Estimated ~18–28 tok/s (RAM offload).
Local RAG embeddings. CPU is enough. Matryoshka dims.
| quant | weights | + KV 8k | fits 0GB? |
|---|---|---|---|
| Q8 | 0.3GB | ~0.5GB | × tight/no |
| FP16 | 0.5GB | ~0.7GB | × tight/no |
File size ≠ runtime. KV grows with context — halve to 4k/2k if long chats OOM. Leave 1–2GB free.
Can Nomic Embed Text v1.5 run on 8 GB laptop?
Nomic Embed Text v1.5 (137M) needs 0.5GB VRAM at FP16 vs your 8GB VRAM. Estimated ~18–28 tok/s (RAM offload). Model context 8k. 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 FP16. Bigger model at Q4 beats smaller at Q8. Only go Q8 if 2GB+ headroom remains.
About ~18–28 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.