Introducing QAD Q4_0: Enhanced Performance for LFM2.5 Models
LiquidAI has unveiled its QAD Q4_0 GGUFs, offering improved performance for a range of LFM2.5 models while maintaining efficiency.
Tag LiquidAI
Introducing LFM2.5-Encoders: Efficient Long-Context Processing on CPU
LiquidAI has unveiled two new encoder models, LFM2.5-Encoder-230M and LFM2.5-Encoder-350M, designed for efficient long-context processing, enabling high-performance NLP tasks on standard CPU hardware.
Harnessing Unsloth and Hugging Face Jobs for Efficient AI Model Training
Unsloth and Hugging Face Jobs introduce a streamlined approach to fine-tuning language models, offering significant efficiency gains in both speed and resource usage.
