Run Mixtral-8x7B models in Colab or consumer desktops
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Running large language models on a single GPU for throughput-oriented scenarios.
Official inference library for Mistral models
text and image to video generation: CogVideoX (2024) and CogVideo (ICLR 2023)
A unified library of SOTA model optimization techniques like quantization, distillation, pruning, neural architecture search, speculative decoding, etc. It compresses deep learning models for downstream deployment frameworks like TensorRT-LLM, TensorRT, vLLM, etc. to optimize inference speed.
Transformers-compatible library for applying various compression algorithms to LLMs for optimized deployment with vLLM
Run LLMs with MLX
