# AlibabaResearch/flash-llm

<https://repo.masters-masters.com/en/repos/AlibabaResearch/flash-llm>

[Home](https://repo.masters-masters.com/en) › [AlibabaResearch](https://repo.masters-masters.com/en/owners/AlibabaResearch) › [flash-llm](https://repo.masters-masters.com/en/repos/AlibabaResearch/flash-llm)

AlibabaResearch/flash-llm has 246 stars on GitHub. Its RepoMasters card: Prototype tier. Flash-LLM: Enabling Cost-Effective and Highly-Efficient Large…

| Field | Value |
| --- | --- |
| Owner | [AlibabaResearch](https://repo.masters-masters.com/en/owners/AlibabaResearch) |
| Stars | 246 |
| Forks | 24 |
| Language | [Cuda](https://repo.masters-masters.com/en/languages/cuda) |
| License | Apache-2.0 |
| Created | 2023 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [AlibabaResearch/flash-llm](https://github.com/AlibabaResearch/flash-llm) |

## Repository

Flash-LLM: Enabling Cost-Effective and Highly-Efficient Large Generative Model Inference with Unstructured Sparsity

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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