all AI news
How to Install and Deploy LLaMA 3 Into Production
April 23, 2024, 12:25 p.m. | /u/juliensalinas
Natural Language Processing www.reddit.com
Deploying LLaMA 3 8B is fairly easy but LLaMA 3 70B is another beast. Given the amount of VRAM needed you might want to provision more than one GPU and use a dedicated inference server like vLLM in order to split your model on several GPUs.
LLaMA 3 …
70b beast easy gpu gpus inference languagetechnology llama llama 3 server space split
More from www.reddit.com / Natural Language Processing
PhD in Linguistics: Which skills should I focus on?
2 days, 15 hours ago |
www.reddit.com
Which NLP-master programs in Europe are more cs-leaning?
6 days, 17 hours ago |
www.reddit.com
Multilabel text classification on unlabled data
1 week, 2 days ago |
www.reddit.com
AI-proof language-related jobs in the United States?
1 week, 4 days ago |
www.reddit.com
Jobs in AI, ML, Big Data
Artificial Intelligence – Bioinformatic Expert
@ University of Texas Medical Branch | Galveston, TX
Lead Developer (AI)
@ Cere Network | San Francisco, US
Research Engineer
@ Allora Labs | Remote
Ecosystem Manager
@ Allora Labs | Remote
Founding AI Engineer, Agents
@ Occam AI | New York
AI Engineer Intern, Agents
@ Occam AI | US