👁 Nomic AI
Nomic AI
Nomic Embed Text v1.5
Current
18.1MDownloads857LikesFeb 2024Released8K tokensContextApache 2.0License76 StrongQuality
Nomic Embed Text v1.5 (0.13699999451637268B parameters) requires approximately 2.6 GB of VRAM with F16 quantization. For the best balance of quality and speed, we recommend hardware with at least 3 GB of VRAM.
Get started
— copy & paste to run locallyCopy-paste commands to run Nomic Embed Text v1.5 on your machine.
Run
ollama run nomic-embed-textQuick specs
Parameters0.14B
Architecturedense
Context8K tokens
Modalityembedding
Min RAM0.1 GB
Rec. RAM0.3 GB (F16)
LicenseApache 2.0
FamilyNomic Embed
✓ RAG
About this model
- •Nomic: https://nomic.ai
- •Discord: https://discord.gg/myY5YDR8z8
- •Twitter: https://twitter.com/nomic_ai
Your hardware
Detecting...
Quick picks
Best hardware
Top picks for Nomic Embed Text v1.5
Run this model
Quantization options
VRAM estimates by quant level
No hardware detected — fit column shows raw VRAM estimates
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 0.1 GB | Low | — |
Q3_K_S | 3 | 0.1 GB | Low | — |
NVFP4 | 4 | 0.1 GB | Medium | — |
Q4_K_M | 4 | 0.1 GB | Medium | — |
Q5_K_M | 5 | 0.1 GB | High | — |
Q6_K | 6 | 0.1 GB | High | — |
Q8_0 | 8 | 0.1 GB | Very High | — |
F16 | 16 | 0.3 GB | Maximum | — |
Hardware compatibility
Fit estimates across all hardware
Computing compatibility...
Memory breakdown
Reference: RTX 2060 6GB
Weights0.3 GB
KV Cache0.5 GB
Runtime1.2 GB
Headroom0.6 GB
Frequently asked questions
FAQ — Nomic Embed Text v1.5
See also