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RT would be highly appreciated
Fine-tuning Llama 7B consumes ~8GB on a Tesla P40 GPU.
Achieved using parameter-efficient fine-tuning on this custom-built PC.
With this GPU you can run at least 3 Llama 7B fine-tuning jobs at the same time.
This chip can easily merge the weights for a single training job.
The build specs are:
• 32GB RAM
• Tesla P40 GPU (24GB)
• Coolmoon 120 Aio Liquid Cooler
• Intel i5 13500 CPU
The build was facilitated by @gamersarenapc
Follow @_mwitiderrick for more deep learning tips.
"🎉 Celebrating a fantastic year ahead for our stellar Community Manager, Omotola Omotayo, on her special day! 🎂 Your tireless efforts in building a vibrant and thriving community are commendable.
Happy Birthday, Omotola! 🥳🎈 #HappyBirthday#CommunityManager#Teamwork"
Thrilled to have been part of #PyConUK this year! 🐍✨
Speaking alongside legends in the Python community was both intimidating and incredibly exciting!!
Shoutout to all the amazing folks I met and the new friends I made.
Let's keep the Python magic alive!🥂
📢 #SYTTechTalks session on "Harnessing BERT's potential: Transforming NLP models with unparalleled impact"
🌐 with our speaker, @YvvonM 🗣️ Get ready to dive into the world of NLP and explore the groundbreaking potential of BERT.
RSVP: https://t.co/Ojjfu1mmS9
🙌 A big shout-out to our incredible mentors who guided and supported the teams! Your expertise and mentorship were instrumental in shaping innovative solutions and empowering participants. Your dedication and knowledge made a lasting impact. Thank you guiding lights! 👏
5/6
Looking for datasets for your next project?
Check these dataset repositories:
i. https://t.co/I2O57PqeOR
ii. https://t.co/Po5YixfFLY
iii. https://t.co/KpD5AmHquj
iv. https://t.co/w4b23wUd67
v. https://t.co/NgtTPsM9d4
vi. https://t.co/hECAUGvuts