NVIDIA Mamba2 8B Hybrid

In the video ‘🐍 Mamba2 8B Hybrid 🚀: NVIDIA Stealth drops their l’ by Ai Flux, the presenter discusses the release of NVIDIA’s new Mamba2 8B Hybrid LLM. This model represents a significant advancement in non-Transformer-based architectures, potentially offering faster performance and larger context lengths. The Mamba2 8B Hybrid was released quietly, despite NVIDIA’s focus on other announcements like Neotron. The model, trained on approximately three trillion tokens, combines Mamba2 attention and MLP layers and is designed for internal research at NVIDIA. The video highlights the potential of Mamba2 to handle larger context lengths and its scalability compared to traditional Transformer models. The presenter also mentions the use of NVIDIA’s Megatron LM framework and the future release of models with 32k and 128k long context extensions. Additionally, the video touches on another model, Faro-Yi-9B-DPO, which demonstrates the trend of making larger models work on less hardware, exemplified by its ability to run a 9 billion parameter model with a 200,000 token context length on just 16GB of VRAM. The video concludes by encouraging viewers to try running Mamba2 on their own GPUs and to share their thoughts in the comments.