I Tested Mistral's New Local AI Models (3B, 8B, 14B, 24B) - Can They Actually Code?

Estimated read time: 1:20

    Summary

    This video, titled "I Tested Mistral's New Local AI Models (3B, 8B, 14B, 24B) - Can They Actually Code?", explores the capabilities of Mistral's open-source AI models. Hosted by Will Lamerton, the video takes a deep dive into how these models perform in a practical coding scenario. Each AI model is tasked with creating a landing page using HTML, CSS, and JavaScript. Throughout the video, Lamerton evaluates the models based on their output quality, execution speed, and ability to adhere to the given instructions. Surprisingly, these AI models show remarkable potential despite being locally run. Find out which model stands out!

      Highlights

      • Mistral 3B, 8B, 14B, and 24B models are tested for coding skills. 👩‍💻
      • The task involves creating a landing page with technical specs like HTML, CSS, and JavaScript. đź“„
      • Evaluations focus on output quality, speed of execution, and rule-following abilities. ⚖️
      • Local AI models present impressive results that challenge expectations. 🎉
      • Will Lamerton hosts a fun, insightful exploration into AI capabilities. 🎥

      Key Takeaways

      • Mistral's open-source AI models are being put to the test for coding capabilities. 🚀
      • The video reviews models ranging from 3B to 24B in size. 👩‍💻
      • Each model builds a landing page using HTML, CSS, and JavaScript. đź› 
      • Performance criteria include quality of output, speed, and instruction adherence. ⏱
      • Surprising results confirm local models are getting impressively capable. đź’ˇ

      Overview

      Will Lamerton takes us on a fun ride testing Mistral's latest local AI models ranging from 3B to 24B. With a cool task—building a landing page with HTML, CSS, and JavaScript—these models are geared up to show what they can do in coding! From the adorable 3B to the hefty 24B, each one has its unique approach and speed in tackling the digital realm!

        The video doesn't just play around with coding; it systematically checks the models on three fronts: their output quality, how quick they are off the mark, and whether they follow instructions like a pro. It's quite a spectacle seeing these local models deliver results that make us question everything we knew about running code locally.

          What stands out is the surprising efficacy of these models. Will’s breakdown highlights that even though they run on your machine, the performance is pretty astounding. It's a fun watch as each model brings something different to the table, earning its stripes in the local AI battleground!

            Chapters

            • 00:00 - 00:30: Introduction to Mistral's AI Models In the introduction of the video titled "I Tested Mistral's New Local AI Models (3B, 8B, 14B, 24B) - Can They Actually Code?", the speaker, Will Lamerton, sets the stage by highlighting the growing capabilities of local AI models. The video aims to evaluate the performance of Mistral's new open-source AI models by putting them to a practical test. These models are assessed on their ability to execute a coding task, specifically, creating a landing page using HTML, CSS, and JavaScript. The models tested include Ministral 3B, Ministral 8B, Ministral 3 14B, and Devstral Small 2 24B. The introduction also briefly mentions the criteria for evaluation: the models' output quality, efficiency, and adherence to instructions. The speaker teases the "surprising" results of this experiment in this initial segment.
            • 00:31 - 01:00: Testing Setup and Methodology The chapter 'Testing Setup and Methodology' covers the process by which different AI models from Mistral are evaluated on their coding capabilities. These models, ranging from 3 billion to 24 billion parameters, are tested on a coding task that involves building a landing page using HTML, CSS, and JavaScript. Each model receives the same brief, and their outputs are compared based on speed, accuracy, and adherence to instructions. The discussion highlights the improvements and surprising capabilities of open-source AI models in handling real-world coding tasks, despite the computational limitations. This chapter gives insights into the practical application and potential of local AI models in programming.
            • 01:01 - 01:30: Ministral 3B Model Performance The chapter titled 'Ministral 3B Model Performance' covers a detailed analysis of the Ministral 3B AI model's performance during a coding test. The test involved building a landing page using HTML, CSS, and JavaScript. The chapter explores how well the Ministral 3B model followed instructions, produced outputs, and its speed compared to other models. The findings provide insights into the practical capabilities and limitations of the Ministral 3B AI in executing coding tasks as part of a conversational breakdown of these AI models.
            • 01:31 - 01:45: Ministral 8B Model Evaluation In this chapter, the evaluation of the Ministral 8B model is highlighted within the context of a video by Will Lamerton. The video explores the capabilities of several local AI models including the Ministral 8B. The focus is on testing these models through a coding challenge, which involves creating a landing page using HTML, CSS, and JavaScript. The chapter provides insights into how well the Ministral 8B model performs in terms of output quality, speed, and adherence to instructions, in comparison to other models like Ministral 3B, Ministral 14B, and Devstral Small 24B.
            • 01:46 - 02:00: Performance Analysis of Ministral 3 14B The chapter titled 'Performance Analysis of Ministral 3 14B' delves into a thorough examination of Ministral 3 14B's capabilities in coding tasks. The focus is on evaluating its performance in constructing a landing page using HTML, CSS, and JavaScript. This analysis is part of a broader assessment conducted by Will Lamerton in his video 'I Tested Mistral's New Local AI Models (3B, 8B, 14B, 24B) - Can They Actually Code?'. The performance metrics include output quality, speed, and instruction adherence, providing insights into the model's potential and efficiency for real-world coding applications. The chapter provides a critique and insight into how the model fares against its counterparts in terms of real coding tasks.
            • 02:01 - 02:15: Results for Devstral Small 2 24B The video "I Tested Mistral's New Local AI Models (3B, 8B, 14B, 24B) - Can They Actually Code?" by Will Lamerton examines the capabilities of Mistral's open-source AI models in coding tasks. The focus is on creating a landing page using HTML, CSS, and JavaScript. Each model, including Ministral 3B, Ministral 8B, Ministral 3 14B, and Devstral Small 2 24B, is given the same task to test their outputs, speed, and instruction adherence. Results are compared and discussed.
            • 02:16 - 02:30: Final Thoughts and Conclusions In the final chapter, the speaker reflects on the capabilities and limitations of Mistral's new local AI models. After conducting a coding test with different models (Ministral 3B, Ministral 8B, Ministral 3 14B, and Devstral Small 2 24B), the video concludes with an overview of their performance. The presenter summarizes the strengths and weaknesses observed during the challenge, highlighting the models' abilities to build a landing page using HTML, CSS, and JavaScript. The chapter also covers the speed and instruction-following capabilities of each model, providing insights into their practical applications and potential improvements for future developments.

            I Tested Mistral's New Local AI Models (3B, 8B, 14B, 24B) - Can They Actually Code? Transcription

            • Segment 1: 00:00 - 02:30 This is a video titled "I Tested Mistral's New Local AI Models (3B, 8B, 14B, 24B) - Can They Actually Code?" by Will Lamerton. Video description: Local AI models are getting seriously capable - but how good are they really? In this video, I put Mistral's new open-source models through a real coding test: building a landing page with HTML, CSS, and JavaScript. I tested: - Ministral 3B - Ministral 8B - Ministral 3 14B - Devstral Small 2 24B Each model got the same brief and I compared their outputs, speed, and ability to follow instructions in this casual conversational breakdown. The results? Pretty surprising for models that run entire