Note: This is a user-maintained mirror (Vikram Lingam's repository) specifically for the Q4_K_M GGUF version of the LiquidAI LFM 2.5 model. This repo is optimized for high-quality, lightweight deployment. For official support, other quantizations, or the original weights, please visit the Official LiquidAI Hub.

Liquid AI
Try LFM β€’ Documentation β€’ LEAP

LFM2.5-1.2B-Instruct

LFM2.5 is a new family of hybrid models designed for on-device deployment. It builds on the LFM2 architecture with extended pre-training and reinforcement learning.

Find more details in the original model card: https://huggingface.co/LiquidAI/LFM2.5-1.2B-Instruct

πŸƒ How to run LFM2.5

Example usage with llama.cpp:

llama-cli -hf LiquidAI/LFM2.5-1.2B-Instruct-GGUF
Downloads last month
33
GGUF
Model size
1B params
Architecture
lfm2
Hardware compatibility
Log In to add your hardware

4-bit

Inference Providers NEW
This model isn't deployed by any Inference Provider. πŸ™‹ Ask for provider support

Model tree for vikramlingam/LFM2.5-1.2B-Instruct-Q4_K_M

Quantized
(35)
this model