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The latest advancements in AI models include the introduction of the new Mixtral-8x22B model, which boasts a larger context size of 65K tokens. Various experts and developers have praised the model's capabilities, noting its power for fine-tuning and high performance on evaluation metrics. Collaborations with organizations like @argilla_io and @huggingface have led to the development of strong, human-aligned chat models. The Mixtral-8x22B has been successfully fine-tuned in record time, showcasing its efficiency. Users have reported successful deployment and usage of the Mixtral model for various tasks.
Deploy Mixtral 8x22B in one click! Mixtral fast facts: - #1 pretrained model on the Open LLM leaderboard - Mixture of Experts architecture - Apache 2.0 license - Uses 4 A100s in fp16, optimized implementations coming soon! https://t.co/MByCvYdsvY
Mixtral 8x22b runs just fine on M1 Ultra. 13 tokens/s for Q5_K_M. It is interesting with rround 95GB of memory. Source : Reddit --- Here are some relevant logs from Ollama: lm_load_print_meta: model size = 93.10 GiB (5.69 BPW) ggml_backend_metal_buffer_from_ptr:… https://t.co/SSELPHUWte
Introducing `instruct-to-base-prompt-converter` ✍️ Prompting base models like Mixtral 8x22B is insanely hard. Now, AI can do it for you! Uses Claude 3 Opus to automatically convert a chat prompt to a prompt that works with the Mixtral-8x22B base model! And it's open-source! https://t.co/rKAgkXxidn
