Mixtral 8x7B is an LLM that excels in handling complex tasks across multiple domains, including mathematics, code generation, and multilingual processing. It offers a balance of performance and efficiency, utilizing a sparse mixture of experts architecture to achieve high-quality outputs while optimizing computational resources.

Some other noteworthy features of Mixtral 8x7B include its ability to process long contexts and its strong performance in instruction-following tasks.

Metric	Value
Parameter Count	47 billion
Mixture of Experts	Yes
Active Parameter Count	13 billion
Context Length	32,000 tokens
Multilingual	Yes
Quantized*	No

*Quantization is specific to the inference provider and the model may be offered with different quantization levels by other providers.