Nomic AI
Nomic Embed Text v1.5
Aktuell
17.6MDownloads838LikesFeb 2024Veröffentlicht8K TokenKontextApache 2.0Lizenz76 StarkQualität
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.
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— kopieren & einfügen, um lokal auszuführenCopy-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
Schnellauswahl
Beste Hardware
Top-Empfehlungen für Nomic Embed Text v1.5
Dieses Modell ausführen
Quantisierungsoptionen
VRAM-Schätzungen nach Quantisierungsstufe
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-Kompatibilität
Eignungsschätzungen für alle Hardware
Computing compatibility...
Speicheraufschlüsselung
Reference: RTX 2060 6GB
Weights0.3 GB
KV Cache0.5 GB
Runtime1.2 GB
Headroom0.6 GB
Häufig gestellte Fragen
FAQ — Nomic Embed Text v1.5
Siehe auch