Sources
Christoph C. Cemper 🧡 AIPRMNew Mixtral 8x22B MoE model with 64k Context is out in the wild. https://t.co/ZbJUkcncRL
BURKOVMistral just dropped the weights of what seems to be a 8x22B MoE with 65k context size. The license is unknown but previous releases were permissive. We will soon see how good the model is, but based on the size, it should beat DBRX, so be better than ChatGPT-3.5 but weaker than… https://t.co/Own8r9Umcn
Daniel HanCan't download @MistralAI's new 8x22B MoE, but managed to check some files! 1. Tokenizer identical to Mistral 7b 2. Mixtral (4096,14336) New (6144,16K), so larger base model used. 4. 16bit needs 258GB of VRAM. BnB 4bit 73GB. HQQ 4bit attention, 2 bit MLP 58GB VRAM => H100 fits!… https://t.co/NfGzzdOuIN https://t.co/AyWRNvVvYO

