Nomic AI
Nomic Embed Text v1.5
High quality text embedding model. 137M params. Good for RAG and search.
0.137B parametersnomic-bertapache-2.08K context0.3GB - 0.4GB VRAM
Check Your Hardware
See which quantizations of Nomic Embed Text v1.5 your hardware can run.
Quantization Options
| Quantization | Bits | File Size | VRAM Needed | RAM Needed | Quality |
|---|---|---|---|---|---|
| Q8_0 | 8 | 0.139 GB | 0.3 GB | 0.5 GB | 98% |
| FP16 | 16 | 0.262 GB | 0.4 GB | 0.6 GB | 100% |
Frequently Asked Questions
How much VRAM do I need to run Nomic Embed Text v1.5?
Nomic Embed Text v1.5 requires 0.3GB VRAM minimum with Q8_0 quantization. For full precision, you need 0.4GB VRAM.
What is the best quantization for Nomic Embed Text v1.5?
Q4_K_M offers the best balance of quality and VRAM usage. Q8_0 is near-lossless if you have enough VRAM.