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meta-llama/llama-cookbook

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Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to end problems using Llama model family and using them on various provider services

aifinetuninglangchainllamallama2llmmachine-learningpython
Velocity score
0.06/ 10
[STARS]
18k
[FORKS]
2.7k
[CONTRIBUTORS]
140
[LAST_COMMIT]
6mo ago
OPEN_ON_GITHUB
Velocity class: dying
30-day stars
0.06/ 10 score
last 36d
[SIGNAL_TRACE / 36_PT]
Score breakdown
659/ 1000
inference · meta-llama/llama-cookbook
Velocity50%
Adoption30%
Maintenance15%
Community5%
[CODE_GROWTH]
867
[INSTALL_VEL]
498
[ACTIVITY]
171
[COMMUNITY_SIGNAL]
1000

Terminal score: 0–1000 raw, weighted across 4 dimensions. Public score: 0–10 normalized (shown in the 30-day stars chart above).

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