Axiomi.si
Submit a tool

LFM2 / LFM2.5 (Liquid AI)

liquid.ai · Open-Weight Models

See site
#4 in Open-Weight Models

Liquid AI's LFM2 and LFM2.5 open-weight edge models, including LFM2.5-24B-A2B (24B MoE, ~2.45B active, 131K context) with official GGUF, MLX, vLLM and SGLang builds.

#moe#edge#gguf#local-inference#reasoning
Visit LFM2 / LFM2.5 (Liquid AI) ↗

About the Open-Weight Models category

Models whose weights you can download, inspect, fine-tune and run yourself. Licences vary from fully permissive (Apache 2.0, MIT) to community licences with usage conditions — always check before shipping.

LFM2 / LFM2.5 (Liquid AI) is one of 16 open-weight models tools indexed on Axiomi. Facts on this page come from the tool's official site and public APIs; prices and features change, so confirm details on the official website before you commit.

// guides

Guides that cover LFM2 / LFM2.5 (Liquid AI)

All guides →

  • How to Run LFM2.5 24B Locally

    Run Liquid AI LFM2.5-24B-A2B locally with Ollama, llama.cpp or MLX: VRAM by quant, Q4_K_M sizes, Ollama 0.17.1 caveat, sampling settings and agent tips.

// related

LFM2 / LFM2.5 (Liquid AI) alternatives and related tools

All Open-Weight Models →
Bonsai (Prism ML)prismml.comPrism ML's family of 1-bit and ternary open-weight models, including Bonsai 2 27B, a Qwen3.8-27B derivative that fits in about 6 to 7 GB and runs on Prism's llama.cpp fork.Open-Weight ModelsOpen source★ 3.4kMistral AImistral.aiParis-based lab publishing both open-weight and commercial models, from small edge models to mixture-of-experts flagships.Open-Weight ModelsFreemium★ 10.8kDeepSeek-V3github.comLarge mixture-of-experts model from DeepSeek whose technical report detailed efficient training tricks such as multi-head latent attention.Open-Weight ModelsOpen source★ 104.5kDeepSeek-R1github.comOpen reasoning model trained with large-scale reinforcement learning, released with distilled smaller versions and an MIT licence.Open-Weight ModelsOpen source★ 91.9kgpt-ossgithub.comOpenAI's open-weight reasoning models released under Apache 2.0, designed for local and on-premise deployment.Open-Weight ModelsOpen source★ 20.5kOllamaollama.comOpen-source local model runner with a one-line pull-and-run CLI, a desktop app and a local HTTP API. Uses llama.cpp-based and MLX engines; optional paid cloud models.ML FrameworksFreemium★ 183.2k