Nomic AI
Nomic Embed Text v1.5
Actual
17.6MDescargas838Me gustaFeb 2024Publicado8K tokensContextoApache 2.0Licencia76 FuerteCalidad
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.
Comenzar
— copia y pega para ejecutar en localCopy-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
Selecciones rápidas
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Opciones de cuantización
Estimaciones de VRAM por nivel de cuantización
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 | — |
Compatibilidad de hardware
Estimaciones de encaje en todo el hardware
Computing compatibility...
Desglose de memoria
Reference: RTX 2060 6GB
Weights0.3 GB
KV Cache0.5 GB
Runtime1.2 GB
Headroom0.6 GB
Preguntas frecuentes
FAQ — Nomic Embed Text v1.5
Ver también