Mistral "Mixtral" 8x7B 32k model [magnet] (twitter.com)

Article summary

Mistral AI released a new model called Mixtral 8x7B 32k through a magnet link on Twitter. The model appears to be a Mixture of Experts (MoE) model with 8 experts, each with 7B parameters. The release method is unconventional, with some users appreciating the speed of distribution. The model's size and requirements are being discussed in the comments.

Main themes

• Mixture of Experts architecture
• Model release and distribution
• Hardware requirements and accessibility
• Quantization and optimization
• Model performance and comparison
• Unconventional release methods

What commenters say

• The model's release method is unconventional, but effective for fast distribution.
• The model's size and requirements make it inaccessible to some users with lower-end hardware.
• The MoE architecture allows for faster inference times, but may require more memory.
• Some users are skeptical about the model's performance and whether it can be run on their hardware.
• The model's architecture is similar to LLaMA, but with some differences.
• Quantization may be necessary to run the model on lower-end hardware.
• The model's performance is expected to be better than a single 7B model, but may not be as good as a 70B model.