---
title: facebook/meta-encoder-v1
url: https://recentmodel.com/models/facebook/meta-encoder-v1/
status: just landed
published: 2026-11-12T02:00:27Z
updated: 2026-11-12T12:31:24Z
source: https://huggingface.co/facebook/meta-encoder-v1
---

# facebook/meta-encoder-v1

Feature extraction model from facebook (HF pipeline tag; the card has no one-line description). Dense, 28B params. Context: 128K tokens (config).


- **Org:** facebook
- **Released:** 2026-11-12
- **Status:** just landed
- **License:** unknown
- **Parameters:** 28.4B
- **Architecture:** dense · MuseGlimmerModel
- **Context:** 131,072 tokens (config.json)
- **Task:** feature-extraction · embedding
- **Signal:** 39 HF likes · 331 downloads

## Runs on

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

- Q4 ~18.5 GB (estimated): 24GB GPU (3090 / 4090), 32GB GPU (5090), 24GB GPU (7900 XTX), Mac 36GB, CPU only, 32GB RAM (slow)
- Q8 ~31.6 GB (estimated): 48GB GPU (RTX 6000 Ada / A6000), Mac 48GB, Mac 64GB (M1 Max), CPU only, 64GB RAM (slow)
- FP16 ~58.4 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-v1)