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LFM2.5-230M-GGUF

Name: LFM2.5-230M-GGUF
Author: LiquidAI

by LiquidAI · source Hugging Face · updated 2026-09-22

other146 MB~1 GB RAMsource aliveunlabeled

LFM2 is a new generation of hybrid models developed by Liquid AI, specifically designed for edge AI and on-device deployment. It sets a new standard in terms of quality, speed, and memory efficiency.

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Source and license

Source: https://huggingface.co/LiquidAI/LFM2.5-230M-GGUF
License: other (custom license: read it at the source before installing)
Requirements: about 1 GB of RAM, 146 MB on disk (estimate: suggested file size × 1.15 + 0.5 GB; a real measurement comes with lsh models). Runs with llama.cpp, ollama.
Tags: gguf safetensors liquid lfm2.5 llama.cpp text-generation en ar zh fr de ja ko es pt it

Numbers

534,666 downloads on Hugging Face
110 likes
license other
0.1 GB for LFM2.5-230M-Q4_K_M.gguf
327,838 npm downloads a week for node-llama-cpp
latest node-llama-cpp@3.22.1

Numbers as of 2026-10-02 21:00 UTC, from the source API.

Summary

Summary not ready yet: the numbers are here, the text is not. It is written by the collector through the LogiShell model facade when a provider key is present.

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Files

file	quant	size
`LFM2.5-230M-BF16.gguf`	BF16	440 MB
`LFM2.5-230M-F16.gguf`	F16	440 MB
`LFM2.5-230M-Q4_0.gguf`	Q4_0	142 MB
`LFM2.5-230M-Q4_K_M.gguf`	Q4_K_M	146 MB
`LFM2.5-230M-Q5_K_M.gguf`	Q5_K_M	164 MB
`LFM2.5-230M-Q6_K.gguf`	Q6_K	182 MB
`LFM2.5-230M-Q8_0.gguf`	Q8_0	235 MB
`LFM2.5-230M-QAD-Q4_0.gguf`	Q4_0	142 MB
`qad/model.safetensors`		876 MB

From the source README

Try LFM •
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LFM2.5-230M-GGUF

LFM2 is a new generation of hybrid models developed by Liquid AI, specifically designed for edge AI and on-device deployment. It sets a new standard in terms of quality, speed, and memory efficiency.

Find more details in the original model card: https://huggingface.co/LiquidAI/LFM2.5-230M

🏃 How to run LFM2.5

Example usage with llama.cpp:

llama-cli -hf LiquidAI/LFM2.5-230M-GGUF --conversation \
    --temp 0.1 --top-k 50 --repeat-penalty 1.05

QAD Q4_0 GGUF

The Quantization-Aware Distillation (QAD) checkpoint is available as
`LFM2.5-230M-QAD-Q4_0.gguf`.

This is distinct from the post-training-quantized `LFM2.5-230M-Q4_0.gguf`;
both use the GGUF Q4_0 format.

Example usage with llama.cpp:

llama-cli -hf LiquidAI/LFM2.5-230M-GGUF \
  --hf-file LFM2.5-230M-QAD-Q4_0.gguf \
  -p "What is C. elegans?"

Card id model:hf:LiquidAI/LFM2.5-230M-GGUF · collected 2026-10-02 21:00 UTC · JSON