Today, we release Mistral Large 2, the new version of our largest model. Mistral Large 2 is a 123B-parameter model with a 128k context window. On many benchmarks (notably in code generation and math), it is superior or on par with Llama 3.1 405B. Like Mistral NeMo, it was trained
OPEN SOURCE
-
Power of Building Apps with Open-Source Models Locally
By
–
This is real power, building apps with open-source models locally. Great share Akshay!
-
Open-source Models Finally Beating Closed-source Models
By
–
One year ago, I created a video in which I said, hopefully open-source models are going to beat closed source models soon. I got this comment and a response that it was only possible in dreams. Today, I responded to the response 🙂
-
Celebrating open-source contributions to AI development
By
–
Thanks for all your work @Thom_Wolf
, open-source was a good bet! 🙂 -
Llama 3.1 Performance Benchmarks Compared to Sonnet and GPT-4o
By
–
El gráfico, aunque sólo se base MMLU, es consistente con las evaluaciones en el resto de benchmarks donde Llama 3.1 alcanza a Sonnet 3.5/GPT-4o, así que las conclusiones sí me parecen validas. Respecto al open source, efectivamente, estrictamente hablando, no lo es y encajaría
-
Deploy Open Source LLMs as APIs with Ollama LMStudio
By
–
Prueba Ollama o LMStudio, te permite desplegar cualquier LLM open source como una API.
-
OpenAI versus Llama: Can competitors keep pace with Meta’s open model?
By
–
¿Aguantarán, OpenAI y competidores, meses sin elevar las capacidades de sus modelos mientras la Llama sigue libre? ¿Encontraremos benchmark más difíciles que diferencien las capacidades de los modelos actuales y de los que están por venir? ¿Se dejará Zuckerberg barbita para
-
Closed-Source vs Open-Weight Models Comparison
By
–
I made the closed-source vs. open-weight models figure for this moment.
-
PaliGemma Fine-tuned Model for Visual Question Answering
By
–
https://
huggingface.co/abhishek/autot
rain-paligemma-finetuned-vqa
…
