Quin 1.5 is a game-changer with open-source models ranging from 0.5B to 72B parameters, beating GPT-4 in performance. It’s a powerhouse for function calling and aligns with human preferences. Don’t miss out on its exceptional capabilities and easy installation. This model is a must-have for AI enthusiasts and businesses! π₯π #Quin1.5 #OpenSourceInnovation
Introduction π
I am quite surprised that not many of us are talking about this new amazing model by Alibaba introducing Quen 1.5. It is the next iteration of the Quin series, exhibiting superior performance and completely open source, with various sizes ranging from 0.5 billion parameters to 72 billion parameters.
Key Takeaways
| Model Size | Performance |
|---|---|
| 0.5 Billion | Exceptional at function calling |
| 1.8 Billion | Surpasses GPT 3.5 Turbo |
| 72 Billion | Represents an exceptional advanced LLM. |
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π Exploring Quen 1.5
Quen 0.5 Billion Model
In a demo video, the Quen 0.5 billion model showcased its capabilities at function calling with a 77% pass rate on the FireWorks AI function calling evaluation dataset. It efficiently calls external functions or APIs based on user input, making movie suggestions and compiling the best sources.
Quen 1.5 Model Performance
The Quen 1.5 model surpasses Claw 2.1 and performs well compared to GPT 3.5 Turbo and Llama. It excels in various language understanding and basic categories, aligning with human preference, and beats GPT-4 in Chinese language metrics.
Installing and Using Quen 1.5
Installing the Quen 1.5 model locally is made easy with LM Studio, allowing easy access to various model sizes for downloading and conversation. The installation method provides a seamless way to get started with the Quen 1.5 model and its variations.
Conclusion
The Quen 1.5 model by Alibaba is a game-changer in the open-source LLM domain, providing unmatched performance and capabilities. Accessible in various sizes, it has proven its capability to align with human preference and surpass other established models in certain metrics.
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