🎉 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. 🚀 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 🆚
Test Mistral’s coding abilities with Python challenges 🐍
Evaluate its logical and reasoning skills 🧠
Assess safety features and function calling capabilities 🔒
🔧 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.
🔗 Links:
Patreon:
Ko-fi:
Discord:
Twitter / X :
Sponsor a Video or Do a Demo of Your Product:
🔍 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!
👍 If you find this video helpful, don’t forget to like, share, and subscribe for more AI content! Hit the bell icon 🔔 to stay updated.
📌 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
[ad_2]
source
-
-
-
-
