15:08Long-form

LLAMA-3.1 πŸ¦™: EASIET WAY To FINE-TUNE ON YOUR DATA πŸ™Œ

United StatesPublished July 30, 2024

Views 57.0KΒ  | Β Likes 1.13KΒ  | Β Comments 61
Views#1,329,625Global
Views#273,425United States

Channel

Prompt EngineeringPrompt Engineering
246K subsβ€’600 videosβ€’Jan 2023

At a glance

Views

57,080

Likes

1,136

Comments

61

Performance vs. channel

Outlier score

Engagement rate

Revenue estimate

Details β†’

Total (all-time): $40 – $114

Based on estimated $0.7–$2 CPM.

About

Learn how to efficiently fine-tuning the Llama 3.1 model using Unsloth, LoRa, and QLoRa techniques. LINKS: Colab: https://tinyurl.com/bdzxhy5n Unsloth: https://unsloth.ai/blog/llama3-1 Huggingface blog: https://huggingface.co/blog/mlabonne/sft-llama3 Unsloth UI: https://tinyurl.com/24shjemu Dataset: https://tinyurl.…

Published
July 30, 2024
Made for kids
No

More features coming

We're working on new analytics and tools. Stay tuned.