v0.40.12
v0.40.12
Liquid AI releases the LFM3 small model family, including the 1.7B parameter lfm3 text model (256K token context), lfm3-vl supporting image understanding, lfm3-audio with 18 language speech processing capabilities, and the general model lfm3-omni for local agents and structured output; the d1 decision model is upgraded to 2B parameters, supporting text, image, and audio decision-making, with some models supporting Apple hardware.
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 this release. 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
Source: Ollama releases · github.com