Mistral 7B is a transformer model designed for fast inference and handling longer sequences. Mistral 7B utilizes grouped-query attention and sliding-window attention to balance output quality and speed, offering an 8,000-token context length, low latency, high throughput, and strong performance with a 7B model size. It is freely available under the Apache 2.0 license.
An article by Medium shows Mistral is approximately 187x cheaper than GPT-4 and 9x cheaper than GPT 3.5. The cost of Mistral AI can be further reduced by increasing parallel processing and quantizing the model to decrease GPU utilization, enhancing efficiency. The article concludes that Mistral AI is a promising alternative to GPT 3.5 for high volume and faster processing time at a very low cost, and it can also be used as a pre-filtering tool to GPT-4 to reduce costs.
Mistral 7B is efficient, cost-effective, versatile, and easily accessible. It can be used as a pre-filtering tool for GPT-4, helping to reduce costs by filtering down search results before processing with GPT-4.
