Mistral 7B Reviews & Product Details

I have tested all LLM : Chat GPT, Grok, Deepseek... Mistral is not the best for writing, but it is good.

The main strengths are :

- Quality of the french data. It is 4 times better than ChatGPT and all others.

- On premise installation, the best for creating your own solution

- Very fast anwers, very usefull fo chatbot, callbots...

- Nice pictures and originals Review collected by and hosted on G2.com.

the quality of the text is to "LLM" (ex : in a world of....) and to wordy

Lack of creativity compared to Deespseek Review collected by and hosted on G2.com.

Its small model size makes deployment easy even on limited infrastructure. It's well-suited for real-time applications, prototyping, and edge Al scenarios without sacrificing much on quality or versatility. Review collected by and hosted on G2.com.

Due to its smaller size, Mistral 7B occasionally lacks depth in complex reasoning or nuanced conversation, especially when compared to larger models. Review collected by and hosted on G2.com.

Qualitative results for a middle large language model. Review collected by and hosted on G2.com.

I would like to see better results in Ukrainian. Review collected by and hosted on G2.com.

With 7 billion parameters, the model produced excellent results for its size. It is excellent as a coding companion or summarisation tool. Review collected by and hosted on G2.com.

The model is not licensed under MIT, but rather uses a proprietary licensing. Review collected by and hosted on G2.com.

Response time and accuracy of input text is good Review collected by and hosted on G2.com.

Complex for given coding answer with better accuracy Review collected by and hosted on G2.com.

It is fast and efficient, but the main thing is that it is GDPR compliance, so the European user can use it. Review collected by and hosted on G2.com.

Not that much accurate in Techninal point need to write proper detailed prompt Review collected by and hosted on G2.com.

Training data is much more updated than gpt 3.5 as well as it's much faster and roughly 8 times cheaper than gpt 3.5. I also can use it as a local model and train on my small custom data. Review collected by and hosted on G2.com.

Sometimes the responses are not up to the mark. If I am using it for RAG models or specific tasks it's best. But as a create chat model I think gpt is far better. Review collected by and hosted on G2.com.

It is open sourced so there are no commercial and idealogical challenges to implement Review collected by and hosted on G2.com.

The model is not as sharp as Flux and other OS models Review collected by and hosted on G2.com.