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vikramlingam/LFM2.5-1.2B-Instruct-Q4_K_M
LFM2.5-1.2B-Instruct-Q4_K_M is a text generation model from vikramlingam. Use it when you need the model to write or continue text. The card lists the license as other.
Note: This is a user-maintained mirror (Vikram Lingam's repository) specifically for the Q4KM GGUF version of the LiquidAI LFM 2.5 model. This repo is optimized for high-quality, lightweight deployment. For official s…
Downloads · 30 days
55
18% of all-time downloads
All-time downloads
300
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.gguf731 MB · 100%
From the Hugging Face model README
<div align="center"> <img src="https://cdn-uploads.huggingface.co/production/uploads/61b8e2ba285851687028d395/2b08LKpev0DNEk6DlnWkY.png" alt="Liquid AI" style="width: 100%; max-width: 100%; height: auto; display: inline-block; margin-bottom: 0.5em; margin-top: 0.5em;" /> <div style="display: flex; justify-content: center; gap: 0.5em; margin-bottom: 1em;"> <a href="https://playground.liquid.ai/"><strong>Try LFM</strong></a> • <a href="https://docs.liquid.ai/lfm"><strong>Documentation</strong></a> • <a href="https://leap.liquid.ai/"><strong>LEAP</strong></a> </div> </div>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 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
Example usage with llama.cpp:
llama-cli -hf LiquidAI/LFM2.5-1.2B-Instruct-GGUF