# RahulSChand/gpu\_poor

<https://repo.masters-masters.com/en/repos/RahulSChand/gpu_poor>

[Home](https://repo.masters-masters.com/en) › [RahulSChand](https://repo.masters-masters.com/en/owners/RahulSChand) › [gpu\_poor](https://repo.masters-masters.com/en/repos/RahulSChand/gpu_poor)

RahulSChand/gpu\_poor has 1,401 stars on GitHub. Its RepoMasters card: Beta tier. Calculate token/s & GPU memory requirement for any LLM. Supports…

| Field | Value |
| --- | --- |
| Owner | [RahulSChand](https://repo.masters-masters.com/en/owners/RahulSChand) |
| Stars | 1,401 |
| Forks | 87 |
| Language | [JavaScript](https://repo.masters-masters.com/en/languages/javascript) |
| License | None |
| Created | 2023 |
| Topics | ggml, huggingface, llm, quantization, gpu, language-model, pytorch, llama, llama2, llamacpp |
| Tier | [Beta (700 to 1,999 ★)](https://repo.masters-masters.com/en/ranks/box_office) |
| View on GitHub | [RahulSChand/gpu\_poor](https://github.com/RahulSChand/gpu_poor) |

## Repository

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

The tier for repos with 700 to 1,999 ★. Published odds per card pulled: 6%. Rarity: Rare.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.