Medium models: Roughly between 1B to 10B parameters. This is where Mistral 7B, Phi-3, Gemma from Google DeepMind, and wizardlm2 sit. Fun fact: GPT 2 was a medium sized model, much smaller than its latest versions. - Source: dev.to / 15 days ago
In this tutorial, we'll guide you through the process of fine-tuning a Mistral7B open-source LLM. We'll use MindsDB to interact with the model and Anyscale Endpoints to host it. If you needed to fine-tune another model, the process would be somewhat similar. - Source: dev.to / 3 months ago
This guide delves deep into the world of YouTube video summarization, harnessing the power of cutting-edge technologies including Deepgram for superior audio transcription, Langchain for harvesting the power of the LLM, and Mistral 7B, a state-of-the-art and open-source LLM. - Source: dev.to / 6 months ago
> No offense, but at first glance I thought this was a GPT generated SEO ad farm... You're not far off. The majority of the content is ripped from the real site: https://mistral.ai/news/announcing-mistral-7b/ and https://docs.mistral.ai/usage/how-to-use/ Unfortunately the real site doesn't have gems like "Top rated Vedio about Mistral 7B " in 30pt italics. - Source: Hacker News / 6 months ago
Https://mistral.ai/news/announcing-mistral-7b/ looking at the 3b results (here https://github.com/Stability-AI/StableLM#stablelm-alpha-v2 ?), it looks like Mistral (which outperforms Llama-2 13b) is far more powerful. - Source: Hacker News / 7 months ago
Do you know an article comparing Mistral 7B to other products?
Suggest a link to a post with product alternatives.
This is an informative page about Mistral 7B. You can review and discuss the product here. The primary details have not been verified within the last quarter, and they might be outdated. If you think we are missing something, please use the means on this page to comment or suggest changes. All reviews and comments are highly encouranged and appreciated as they help everyone in the community to make an informed choice. Please always be kind and objective when evaluating a product and sharing your opinion.