---
license: apache-2.0
base_model: nomic-ai/nomic-embed-text-v1.5
library_name: basert
pipeline_tag: feature-extraction
tags:
  - basert
  - apple-silicon
  - quantized
  - sentence-similarity
---

# nomic-embed-text-v1.5

[BaseRT](https://github.com/basecompute/baseRT) `.base` builds of [`nomic-ai/nomic-embed-text-v1.5`](https://huggingface.co/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

```bash
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.