---
title: facebook/meta-encoder
url: https://recentmodel.com/models/facebook/meta-encoder/
status: main board
published: 2026-09-30T18:00:19Z
updated: 2026-09-30T18:00:19Z
source: https://huggingface.co/facebook/meta-encoder
---

# facebook/meta-encoder

Feature extraction model from facebook (HF pipeline tag; the card has no one-line description). 30B params. License: apache-2.0.


- **Org:** facebook
- **Released:** 2026-09-30
- **Status:** main board
- **License:** apache-2.0 (permissive)
- **Parameters:** 29.8B
- **Task:** feature-extraction · embedding
- **Signal:** 28 HF likes · 140 downloads
- **Weights:** gated

## Runs on

mixed: real files + estimate; sizing calculation, not tested.

- Q4 ~23.2 GB: 32GB GPU (5090), Mac 36GB, CPU only, 32GB RAM (slow)
- Q8 ~35.1 GB (estimated): 48GB GPU (RTX 6000 Ada / A6000), Mac 48GB, Mac 64GB (M1 Max), CPU only, 64GB RAM (slow)
- FP16 ~63.1 GB: 96GB GPU (RTX Pro 6000 Blackwell), 1× DGX Spark (128GB), 2× DGX Spark (256GB), Strix Halo 128GB unified (~96GB usable), Mac 96GB, Mac 128GB, Mac 192GB, Mac 256GB, Mac 512GB, CPU only, 128GB RAM (slow), CPU only, 256GB RAM (slow)

## Links

- [Hugging Face](https://huggingface.co/facebook/meta-encoder)