During recent tests, Mixtral-8x7B has outranked other AI tools in popular AI benchmarks. The current model is superior to previous Mistral AI models. It works better with different datasets.
Mixtral-8x7B demos are also available on multiple platforms, such as:Mixtral-8x7B:
After the launch of Mistral 7B, now Mistral AI is coming with new model.
With quick response, better performance, and faster results, Mixtral-8x7B is beating the other AIs.HuggingFace released the model card for Mixtral-8x7B. It is using Apache 2.0.
With the launch of Mixtral-8x7B, MistralAI has given tough competition to competitors. Mixtral 8x7B is performing better than available AI models. Its performance is now being used as an AI technology benchmark.
- Multiple language support includes English, German, French, Spanish, Italian, etc.
- Mixtral-8x7B can handle up to 32 thousand tokens.
- Excellent Code generation performance.
- Scored 8.3 on MTBench
Mixtral-8x7B: Explained!
Here are the notable features of Mixtral-8x7B:
According to the Mistral AI website, Mixtral is for AI experts. It is a massive quality sparse mixture-of-expert.
Mixtral-8x7B Performance:
Recent reports show that Mixtral-8x7B matches GPT 3.5 and outranks Llama 2 70B.
Mixtral-8x7B displayed better results than Lalama 2 t0B during BBQ and Bold tests.
Mistral AI has also launched Mixtral-8x7B Instruct to follow instructions. Mixtral 8x7B Instruct has scored 8.30 on the MT-bench.
You can get early access to Mixtral on the Mistral AI platform.
How to Use and Test Mixtral-8x7B?
There are 4 demos available where you can test Mixtral-8x7B. It is easy to try and find out how Mixtral-8x7B competes with other models like CPT4.
Here are the 4 platforms where you can test Mixtral-8x7B.
Perplexity Labs:
https://labs.perplexity.ai/ is the site where you can test the performance of Mixtral-8x7B the same way you may have tried Llama 2 and Mistral-7B.
POE:
https://poe.com/Mixtral-8x7B-Chat is another platform to test Mixtral-8x7B.
You can not only test the latest Mixtral model but also test other AI models such as:
You can generate text, images, and codes.
Vercel AI:
https://sdk.vercel.ai/ is also the platform to test the Mixtral-8x7B model. You can also test OpenAI models, Antropic models, Meta AI models, and Cohere.
Replicate:
https://replicate.com/nateraw/mixtral-8x7b-32kseqlen is the page to test Mixtral-8x7B.
Mistral AI Beta Access to Mixtral-8x7B:
- Mistral-Tiny: It is a Mistral 7B Instruct v0.2.
- Mistral-Small: It runs on Mixtral 8x7B.
- Mistral-Medium: It runs on prototype models.
https://mistral.ai/news/la-plateforme/ also allow you to test Mixtral-8x7B with beta access.
Here is what you must know:
You can register for API access.
Conclusion:
The Mixtral 8x7B release is setting new benchmarks for open-source generative AI models. With its versatile features and excellent performance, Mistral is grabbing the AI community's and developers' attention.
Yet, it is expected to get wrong or misleading answers from generative AIs like Mixtral 8x7B.
AI models are still in development, and it will be good to see when we will have our hands on perfect models.
Stay tuned to know more.
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