v0.1.7

calesthio/OpenMontagev0.1.7Jan 16, 2026by chonknick

AI Summary

This release introduces support for the new Voyage 4 family of embedding models, offering various sizes optimized for performance. The models feature long context windows, flexible dimensions, and support for multiple quantization formats.

Key Highlights

Added support for Voyage 4 embedding models (large, mid, lite, nano)
Models support 32,000 token context window
Supports Matryoshka learning for flexible dimensions
Supports multiple quantization formats (float, int8, binary)
MTEB leaderboard rankings mentioned

New Features

Voyage 4 embedding models
32k token context
Matryoshka learning for dimensions
Quantization formats support

Full Release Notes

## What's New

- Added support for Voyage 4 embedding models:
  - `voyage-4-large` - Flagship MoE model, #1 on MTEB (78.26)
  - `voyage-4` - Mid-sized balanced model
  - `voyage-4-lite` - Lightweight model, #9 on MTEB (73.29)
  - `voyage-4-nano` - Open-weight model (Apache 2.0)

All Voyage 4 models support:
- 32,000 token context
- Flexible dimensions (2048/1024/512/256) via Matryoshka learning
- Multiple quantization formats (float, int8, binary)