New LFM2.5 8b A1b model!!
Summary
Introducing LFM2.5 8b A1b, a new AI model with performance on par with Nemotron 3 Nano but at higher speed. Support is being added to SmallCode for non-standard tool calls.
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@noctus91: I recently switched from Qwen 3.5 9B to LFM2.5-8B-A1B by @liquidai, and it's quickly become my default local model in H…
A user shares their positive experience switching from Qwen 3.5 9B to Liquid AI's new LFM2.5-8B-A1B model, praising its speed and reliability for agentic tasks while noting coding remains a weakness. The model is an 8B MoE with 1.5B active parameters and 128K context, optimized for devices and server-side use.
Liquid AI releases LFM2.5-8B-A1B
Liquid AI released LFM2.5-8B-A1B, an edge model with a 128K context window, 38T tokens of pre-training, and large-scale reinforcement learning, capable of tool calling and complex tasks while fitting on an entry-level laptop.
@abidlabs: Remarkable for an 8B model! Check out the @Gradio app here: https://huggingface.co/spaces/LiquidAI/LFM2.5-8B-A1B…
Liquid AI releases LFM2.5-8B-A1B, an 8B MoE model with 1.5B active parameters and 128K context, optimized for edge devices.
@LottoLabs: A very cool model for the GPU poor bros Trained on an ungodly amount of tokens for a 8b a1b model Gonna be super fast e…
LottoLabs announces LiquidAI's LFM2.5-8B-A1B-GGUF model, an 8B parameter model trained on a massive token count and optimized for fast inference on limited GPU hardware, with support for llama.cpp, Ollama, vLLM, and more.
LiquidAI/LFM2.5-8B-A1B-GGUF
LiquidAI releases a GGUF quantized version of their LFM2.5-8B-A1B model, with instructions for use across multiple inference engines.