Liquid AI 推出 LFM3 小型模型系列,支援本地代理與多媒體輸出
v0.40.12
AI 導讀
Liquid AI 釋出 LFM3 小型模型系列,提供 1.7B 文本模型、跨媒體輸出與本地代理功能,並新增 2B d1 決策模型。
- LFM3:1.7B 文字模型,256K token 上下文視窗,支援本地代理與工具呼叫。
推薦理由
本次釋出提供多功能小型模型,支援本地代理與跨媒體輸出,並最佳化 Apple Silicon 上的推論速度,同時新增 D1 2B 決策模型,擴充文字、影像及音訊處理範圍。
正文 · 原文
Liquid AI LFM3
LFM3 is Liquid AI's new family of small models built for local agents, tool calling, and structured output, on Liquid's new tri-hybrid architecture. The family includes:
- lfm3: a 1.7B text model with a 256K-token context window
- lfm3-vl: adds image understanding
- lfm3-audio: speech recognition, translation, and text-to-speech in 18 languages
- lfm3-omni: text, images, and audio in one model
ollama run lfm3
d1 decision models
Liquid AI's d1 models now come in a 2B size, built on LFM3. d1 makes decisions about text and images, and d1-omni adds audio.
ollama run d1:2b "I was charged twice for order 4417." --ask "Is this a billing issue?"
Note: lfm3 and d1 2b are supported on Apple hardware in rc1. Support for Linux/Windows coming soon.
What's Changed
- Faster prompt processing on Apple silicon for Gemma 4, Flint and Laguna models
- Speculative decoding now supports DFlash2 draft models on MLX
- Gemma 4 keeps more detail in small images
ollama launchnow works with OpenCode v2- Fixed tool-only assistant turns from Kimi CLI
- Updated MLX and llama.cpp
Full Changelog: v0.40.11...v0.40.12
來源: ollama release (github.com)
開啟原文