RahulSChand / gpu_poor

Calculate token/s & GPU memory requirement for any LLM. Supports llama.cpp/ggml/bnb/QLoRA quantization

RahulSChand
RahulSChand
Date Created 2023-09-12 (about a year ago)
Commits 72 (last one 4 months ago)
Stargazers 1,284 (3 this week)
Watchers 7 (0 this week)
Forks 68
License unknown
Ranking

RepositoryStats indexes 638,253 repositories, of these RahulSChand/gpu_poor is ranked #42,656 (93rd percentile) for total stargazers, and #262,557 for total watchers. Github reports the primary language for this repository as JavaScript, for repositories using this language it is ranked #5,836/68,743.

RahulSChand/gpu_poor is also tagged with popular topics, for these it's ranked: pytorch (#722/6240),  llm (#469/3677),  gpu (#127/972),  llama (#119/610),  language-model (#88/548),  huggingface (#44/419),  llama2 (#38/242)

Other Information

RahulSChand/gpu_poor has Github issues enabled, there are 7 open issues and 9 closed issues.

There have been 1 release, the latest one was published on 2023-10-29 (about a year ago) with the name Added way to calculate ~token/s & training time.

Homepage URL: https://rahulschand.github.io/gpu_poor/

Star History

Github stargazers over time

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Watcher History

Github watchers over time, collection started in '23

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Recent Commit History

72 commits on the default branch (main) since jan '22

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Yearly Commits

Commits to the default branch (main) per year

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Issue History

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Languages

The primary language is JavaScript but there's also others...

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updated: 2025-04-12 @ 11:57pm, id: 690511522 / R_kgDOKSheog