Linux

Mistral v3 Released! Did it Pass the Coding Test?



πŸŽ‰ Welcome back, AI enthusiasts! Today, we’re diving deep into the latest version of the Mistral 7B model, version 0.3! With a whopping 32,000 context window, improved tokenizer, and function calling support, this update promises significant advancements. πŸš€ Mistral v3 Released! Did it Pass the Coding Test?

Massed compute:
Coupon: MervinPraison (50% Discount)
Connect to Massed Compute after Deploy:

In this video, we’ll:
Compare Mistral 7B v0.3 with Llama 38B across various benchmarks πŸ†š
Test Mistral’s coding abilities with Python challenges 🐍
Evaluate its logical and reasoning skills 🧠
Assess safety features and function calling capabilities πŸ”’

πŸ”§ Setup Guide:
Clone the Repository: git clone
Navigate to Folder: cd text-generation-webui
Export Hugging Face Token: export HUGGINGFACE_TOKEN=your_token
Start Installation: bash start_linux.sh
Load the Model: Enter the model name and grant access.

πŸ”— Links:
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Ko-fi:
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Twitter / X :
Sponsor a Video or Do a Demo of Your Product:

πŸ” We’ll be using the unquantized version directly from Hugging Face, and testing its capabilities in various scenarios. Stay tuned as we push this model to its limits!

πŸ‘ If you find this video helpful, don’t forget to like, share, and subscribe for more AI content! Hit the bell icon πŸ”” to stay updated.

πŸ“Œ Timestamps:
0:00 – Introduction to Mistral 7B v0.3
0:11 – Comparison with Llama 38B
0:33 – Setup and Configuration
2:30 – Coding Ability Tests
5:32 – Logical & Reasoning Skills
7:16 – Safety Test
8:00 – Function Calling Demonstration
10:00 – Final Thoughts and Conclusion

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