Mistral Challenges Meta with 123B Parameter "Large 2"
Another day another model...
At a Glance
Mistral has announced the release of its latest flagship language model, Mistral Large 2, featuring an impressive 123B parameters. This significant advancement positions Mistral at the forefront of AI research, as they release the model only a day after Meta announced the Llama 3.1 family of models.
Deeper Learning
Model Specifications: Mistral Large 2 boasts 123B parameters, making it one of the most powerful language models available. Additionally, it now has a context window of 128k tokens (on par with GPT-4o and Llama 3.1) and is natively multilingual.
Enhanced Performance: Mistral Large 2 was able to achieve 84.0% accuracy on the MMLU benchmark. Mistral claims significant enhancements in reasoning capabilities reduce “hallucinations” and improve reliability. The model now acknowledges when it lacks sufficient information to provide confident answers, resulting in better performance on mathematical benchmarks and overall problem-solving skills.
Where to Access Mistral Large 2: Mistral Large 2 is now accessible via la Plateforme under “mistral-large-2407” and can be tested on le Chat. Mistral AI has expanded its partnership with Google Cloud Platform, now making the model available on Vertex AI, Azure AI Studio, Amazon Bedrock, and IBM watsonx.ai.
The Open Source Story: Mistral has historically kept their models open source with a BIG asterisk. This trend continues with Mistral Large 2; the weights are available but you still need a license for commercial applications.
So What?
Following Meta and OpenAI, looks like Mistral is making some significant noise in the LLM space with a new model almost as capable as their flagships. By offering superior performance and extensive capabilities (for a relatively small model compared to Llama 3.1), Mistral Large 2 is poised to become another critical tool for developers and researchers.
References
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Mistral Challenges Meta with 123B Parameter "Large 2"
Another day another model...
At a Glance
Mistral has announced the release of its latest flagship language model, Mistral Large 2, featuring an impressive 123B parameters. This significant advancement positions Mistral at the forefront of AI research, as they release the model only a day after Meta announced the Llama 3.1 family of models.
Deeper Learning
Model Specifications: Mistral Large 2 boasts 123B parameters, making it one of the most powerful language models available. Additionally, it now has a context window of 128k tokens (on par with GPT-4o and Llama 3.1) and is natively multilingual.
Enhanced Performance: Mistral Large 2 was able to achieve 84.0% accuracy on the MMLU benchmark. Mistral claims significant enhancements in reasoning capabilities reduce “hallucinations” and improve reliability. The model now acknowledges when it lacks sufficient information to provide confident answers, resulting in better performance on mathematical benchmarks and overall problem-solving skills.
Where to Access Mistral Large 2: Mistral Large 2 is now accessible via la Plateforme under “mistral-large-2407” and can be tested on le Chat. Mistral AI has expanded its partnership with Google Cloud Platform, now making the model available on Vertex AI, Azure AI Studio, Amazon Bedrock, and IBM watsonx.ai.
The Open Source Story: Mistral has historically kept their models open source with a BIG asterisk. This trend continues with Mistral Large 2; the weights are available but you still need a license for commercial applications.
So What?
Following Meta and OpenAI, looks like Mistral is making some significant noise in the LLM space with a new model almost as capable as their flagships. By offering superior performance and extensive capabilities (for a relatively small model compared to Llama 3.1), Mistral Large 2 is poised to become another critical tool for developers and researchers.
References
Share this post!
Mistral Challenges Meta with 123B Parameter "Large 2"
Another day another model...
At a Glance
Mistral has announced the release of its latest flagship language model, Mistral Large 2, featuring an impressive 123B parameters. This significant advancement positions Mistral at the forefront of AI research, as they release the model only a day after Meta announced the Llama 3.1 family of models.
Deeper Learning
Model Specifications: Mistral Large 2 boasts 123B parameters, making it one of the most powerful language models available. Additionally, it now has a context window of 128k tokens (on par with GPT-4o and Llama 3.1) and is natively multilingual.
Enhanced Performance: Mistral Large 2 was able to achieve 84.0% accuracy on the MMLU benchmark. Mistral claims significant enhancements in reasoning capabilities reduce “hallucinations” and improve reliability. The model now acknowledges when it lacks sufficient information to provide confident answers, resulting in better performance on mathematical benchmarks and overall problem-solving skills.
Where to Access Mistral Large 2: Mistral Large 2 is now accessible via la Plateforme under “mistral-large-2407” and can be tested on le Chat. Mistral AI has expanded its partnership with Google Cloud Platform, now making the model available on Vertex AI, Azure AI Studio, Amazon Bedrock, and IBM watsonx.ai.
The Open Source Story: Mistral has historically kept their models open source with a BIG asterisk. This trend continues with Mistral Large 2; the weights are available but you still need a license for commercial applications.
So What?
Following Meta and OpenAI, looks like Mistral is making some significant noise in the LLM space with a new model almost as capable as their flagships. By offering superior performance and extensive capabilities (for a relatively small model compared to Llama 3.1), Mistral Large 2 is poised to become another critical tool for developers and researchers.
References
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