Tools, frameworks, and models for local AI
5 resources found for "Efficient"
DeepSeek (Shenzhen, China): the most efficient open-weight LLMs in their class, with a focus on low-activation MoE. DeepSeek V4.1-Flash pushes 552B total parameters with ~8B active and a 1M context. The models in the catalog are the child resources.
82-million-parameter speech synthesis model on a VITS architecture, Apache-2.0 for the weights, with voices in dozens of languages and surprisingly high quality for its size. Runs efficiently on CPU alone.
C++ implementation of LLMs for efficient inference on consumer CPUs and GPUs.
Fast, efficient 7B model, well-tuned for multilingual European tasks. Excellent instruction quality at a fraction of the cost of 13B+ models.
Mistral AI (Paris, France): the most efficient European open-weight LLMs, with permissive licenses and a focus on privacy and localization. The Mistral models in the catalog are the child resources.
