@timseyde: Dumbo's first steps — LFM2.5-230M doing multi-step tool-calling over pre-trained skills provided by @nvidia SONIC. Same…
Summary
Liquid AI's LFM2.5-230M model demonstrates multi-step tool-calling capabilities on a Unitree G1 robot, running entirely on-device on an NVIDIA Jetson Orin, acting as a skill-selection layer.
View Cached Full Text
Cached at: 06/25/26, 09:27 PM
Dumbo’s first steps — LFM2.5-230M doing multi-step tool-calling over pre-trained skills provided by @nvidia SONIC. Same small model, many different use cases.
Liquid AI (@liquidai): As an early look at ongoing work, we deployed LFM2.5-230M on a Unitree G1, running entirely on-device on its onboard @nvidia Jetson Orin.
The model acts as a skill-selection layer, taking in natural-language instructions and decomposing them into sequences of tool calls.
After
Similar Articles
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.
@liquidai: Introducing LFM2.5-230M: our smallest model yet, built to run fast anywhere (CPUs, NPUs, and GPUs) to enable agentic ta…
Liquid AI releases LFM2.5-230M, a small 230M parameter model optimized for fast inference on CPUs, NPUs, and GPUs, targeting agentic tasks on devices like phones and robots.
Liquid AI reveals 8B-A1B MoE trained on 38T
Liquid AI released LFM2.5-8B-A1B, an edge MoE model trained on 38T tokens with a 128K context window, improved tool calling, and reasoning capabilities, available on Hugging Face.
@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.
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.