Summary
Introducing Mistol, a cutting-edge model with 24 billion parameters that surpasses Gemma 3 and operates on 32 GB of RAM. Mistol Small 3.1 shines in dialogue, long document summarization, and low latency tasks, giving it a versatile edge in various applications. Users can access Mistol through Hugging Face, Google Cloud's Vertex notebook, or by installing it locally for seamless utilization. The video showcases Mistol's proficiency in programming, mathematical equations, web page creation, and image description tasks. A review of Mistol's capabilities in generating SVG, mathematical equations, and comprehension tasks is provided, along with a comparative analysis against Gemma 3, urging viewers to explore Mistol's potential.
Introduction of Mistol
Introducing Mistol, a new state-of-the-art model under the Pachi 2.0 license that outperforms Gemma 3 and runs on 32 GB of RAM.
Features of Mistol Small 3.1
Mistol Small 3.1 is a versatile 24 billion parameter model that excels in dialogue, long document summarization, and low latency tasks.
Accessing Mistol
Options to access Mistol include using the model offline through Hugging Face, Google Cloud's Vertex notebook, or installing it locally.
Assessment of Mistol in Various Categories
Testing Mistol Small 3.1 in programming, mathematical equations, web page creation, and image description, showcasing its capabilities across different domains.
Failures and Successes of Mistol Model
Review of Mistol's performance in generating SVG, mathematical equations, and comprehension tasks, highlighting both successes and failures.
Conclusion and Recommendations
Comparative analysis of Mistol against Gemma 3, recommendation to try Mistol, and suggestions to follow the creator for updates.
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