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.
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
π How to run LFM2.5
Example usage with llama.cpp:
llama-cli -hf LiquidAI/LFM2.5-1.2B-Instruct-GGUF
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Model tree for vikramlingam/LFM2.5-1.2B-Instruct-Q4_K_M
Base model
LiquidAI/LFM2.5-1.2B-Base
Finetuned
LiquidAI/LFM2.5-1.2B-Instruct