MISTRA Unveils M Small 3: A Versatile 24B Parameter AI Model

- Authors
- Published on
- Published on
In the world of AI, MISTRA has roared back onto the scene with their M Small 3 model, a 24 billion parameter beast that's ready to take on the big boys like LLAMA and QUEN. This model, available on Hugging Face, is a true workhorse, offering a 32k context window and support for multiple languages. MISTRA isn't just about size; they've focused on agentic uses, making this model versatile and powerful right out of the gate. And let's not forget their commitment to open-source models - a move that's sure to shake up the industry.
But what sets the M Small 3 apart is its efficiency and adaptability. Whether you're looking for quick and thorough outputs, structured results, or seamless function calling, this model delivers. It's a no-nonsense performer that doesn't waste time with unnecessary fluff. And with the option for local deployment and quantization, MISTRA is putting the power back in the hands of the user.
As we dive into testing the model, it's clear that MISTRA has hit the mark with the M Small 3. From providing concise answers to handling complex function calls with ease, this model is a true contender in the AI arena. And with the promise of fine-tuning and local deployment, the possibilities are endless. So buckle up, folks, because MISTRA is back with a vengeance, championing the open weights movement and setting a new standard for AI models.

Image copyright Youtube

Image copyright Youtube

Image copyright Youtube

Image copyright Youtube
Watch Mistral Small 3 - The NEW Mini Model Killer on Youtube
Viewer Reactions for Mistral Small 3 - The NEW Mini Model Killer
Using expensive models to create prompt templates for free open source models
Appreciation for the concise and informative content
Interest in a potential new model, Deepseek-R1-Distill-Mistral-Small
Positive feedback on the performance of Mistral Small 3 on specific hardware
Request for a video on safe and secure use of open source LLMs
Discussion on the importance of accuracy in models
Curiosity about the practical uses of smaller models
Comparison between Mistral and Lucie models
Concerns about model size and compatibility with GPU memory
Interest in a Dutch model as a daily driver
Related Articles

Quen's qwq 32b Model: Local Reasoning Powerhouse Outshines Deep seek R1
Quen introduces the powerful qwq 32b local reasoning model, outperforming the Deep seek R1 in benchmarks. Available on Hugging Face for testing, this model offers top-tier performance and accessibility for users interested in cutting-edge reasoning models.

Microsoft's F4 and 54 Models: Revolutionizing AI with Multimodal Capabilities
Microsoft's latest F4 and 54 models offer groundbreaking features like function calling and multimodal capabilities. With billions of parameters, these models excel in tasks like OCR and translation, setting a new standard in AI technology.

Unveiling OpenAI's GPT 4.5: Underwhelming Performance and High Costs
Sam Witteveen critiques OpenAI's GPT 4.5 model, highlighting its underwhelming performance, high cost, and lack of innovation compared to previous versions and industry benchmarks.

Unleashing Ln AI's M OCR: Revolutionizing PDF Data Extraction
Discover Ln AI's groundbreaking M OCR model, fine-tuned for high-quality data extraction from PDFs. Unleash its power for seamless text conversion, including handwriting and equations. Experience the future of OCR technology with Ln AI's transparent and efficient solution.