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nomic-embed-text-v1.5
basecompute/nomic-embed-text-v1.5
nomic-embed-text-v1.5 is a feature extraction model from basecompute. Use it when you need embeddings to search or compare text. It is set up for basert. The card lists the license as apache-2.0.
BaseRT .base builds of nomic-ai/nomic-embed-text-v1.5, a 768-dimension text-embedding model, for fast local inference on Apple Silicon.
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Repo size
221 MB
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At a glance
- Task
- Feature Extraction
- Library
- basert
- License
- apache-2.0
- Access
- Public
- Created
- Jun 28, 2026
- Updated
- Jul 2, 2026
- SHA
- 45df7d63
Base models
Model card
From the Hugging Face model README
nomic-embed-text-v1.5
BaseRT .base builds of nomic-ai/nomic-embed-text-v1.5, a 768-dimension text-embedding model, for fast local inference on Apple Silicon.
Files
| File | Precision | Size |
|---|---|---|
nomic-embed-text-v1.5-Q4.base | 4-bit | 78 MB |
nomic-embed-text-v1.5-Q8.base | 8-bit | 142 MB |
Usage
curl -LsSf https://basecompute.co/install.sh | sh
basert serve --model nomic-embed-text-v1.5-Q8.base
POST /v1/embeddings returns 768-dimension, L2-normalized vectors.
For retrieval quality, the 8-bit build is recommended.
Released under the apache-2.0 license, inherited from the base model.
- Task
- Feature Extraction
- Library
- basert
- License
- apache-2.0
- Created
- Jun 28, 2026
- Updated
- Jul 2, 2026