๐ ๐ถ๐๐๐ฟ๐ฎ๐นโ๐ โ๐๐๐ฆ โ๐๐๐๐ ๐ก๐ ๐๐ฆ ๐๐๐ก๐ก๐๐ ๐๐๐๐๐๐โ ๐ฃ๐ถ๐ ๐๐ฟ๐ฎ๐น ๐ญ๐ฎ๐
With Pixtral 12B, weโre looking at a smaller parameter count compared to giants like ๐๐๐-๐, ๐ฐ๐ก๐ข๐๐ก ๐๐จ๐๐ฌ๐ญ๐ฌ ๐จ๐ฏ๐๐ซ ๐๐๐ ๐๐ข๐ฅ๐ฅ๐ข๐จ๐ง ๐ฉ๐๐ซ๐๐ฆ๐๐ญ๐๐ซ๐ฌ. The real test will be how ๐๐ข๐ฑ๐ญ๐ซ๐๐ฅโ๐ฌ ๐๐ ๐๐ข๐ฅ๐ฅ๐ข๐จ๐ง ๐ฆ๐จ๐๐๐ฅ ๐ก๐จ๐ฅ๐๐ฌ ๐ข๐ญ๐ฌ ๐จ๐ฐ๐ง ๐ข๐ง ๐ญ๐๐ซ๐ฆ๐ฌ ๐จ๐ ๐ฉ๐๐ซ๐๐จ๐ซ๐ฆ๐๐ง๐๐, ๐ฌ๐ฉ๐๐๐, ๐๐ง๐ ๐๐๐๐ฉ๐ญ๐๐๐ข๐ฅ๐ข๐ญ๐ฒ.
๐โ๐ฆ ๐๐ฎ๐ซ๐ข๐จ๐ฎ๐ฌ ๐ข๐ ๐๐ ๐๐ข๐ฅ๐ฅ๐ข๐จ๐ง ๐ฉ๐๐ซ๐๐ฆ๐๐ญ๐๐ซ ๐ฆ๐จ๐๐๐ฅ๐ฌ ๐ฌ๐ก๐จ๐ฎ๐ฅ๐ ๐๐ ๐๐จ๐ง๐ฌ๐ข๐๐๐ซ๐๐ ๐ ๐๐๐ – ๐๐ฆ๐๐ฅ๐ฅ ๐๐๐ง๐ ๐ฎ๐๐ ๐ ๐๐จ๐๐๐ฅ?
As far as I can tell, Mistral AI stance is that this is their latest multimodal large language model (LLM). At 12 billion parameters, Pixtral might seem small compared to models like GPT-4. But what’s exciting is how these smaller models continue to surprise us with their efficiency and speed.
The introduction of Pixtral 12B also comes with some notable updates. ๐๐ข๐ฌ๐ญ๐ซ๐๐ฅ’๐ฌ ๐ฅ๐๐ญ๐๐ฌ๐ญ ๐ญ๐จ๐ค๐๐ง๐ข๐ณ๐๐ซ ๐๐ ๐ซ๐๐ฏ๐๐๐ฅ๐ฌ ๐ญ๐ก๐ซ๐๐ ๐ง๐๐ฐ ๐ญ๐จ๐ค๐๐ง๐ฌ: .๐ข๐ฆ๐ , .๐ข๐ฆ๐ _๐๐ซ๐๐๐ค, and .๐ข๐ฆ๐ _๐๐ง๐. These tokens enhance the modelโs image processing capabilities, making it easier to embed and analyze visual data alongside text prompts, a interesting step forward in AI’s ability to handle multimodal tasks.
Pics from a Reddit thread. Iโll add info in the comments.
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