Open Source
Awesome-LLM-Inference
📖A curated list of Awesome LLM/VLM Inference Papers with codes: WINT8/4, FlashAttention, PagedAttention, MLA, Parallelism, etc.
Our verdict
We have not reviewed Awesome-LLM-Inference yet
No one at Enterprise DNA has checked this listing against its sources. The description comes from public listings gathered automatically. Any fact below shows where it came from and when it was last checked.
From the listing
About Awesome-LLM-Inference
A community-curated GitHub repository that lists papers and code for large language model (LLM) and vision-language model (VLM) inference optimizations. It covers techniques such as WINT8/4 quantization, FlashAttention, PagedAttention, MLA, and parallelism. The repo provides links to the original papers and implementations for each technique.
Best for
Researchers and engineers seeking a concise overview of recent LLM inference optimization techniques and their implementations.
Use cases
- Finding reference implementations of inference optimization techniques like FlashAttention or PagedAttention.
- Exploring quantization methods (e.g., WINT8/4) to reduce model size and speed up inference.
- Learning about parallelism strategies for deploying LLMs at scale.
Notes
16 stars on GitHub. Last updated 2025-03-30. Licensed GPL-3.0.
Pros
- Curated collection saves time by aggregating relevant papers and code.
- Covers a broad range of modern inference optimization methods.
- Provides direct links to resources for quick exploration.
Cons
- Merely a list, not an executable tool or library.
- Limited community validation with only 16 stars.
- May lack detailed tutorials or integration guides.
Key facts
What we have checked
- GitHub stars
- 21
Each value shows when we last confirmed it and where it came from. Values we have not confirmed are left out, never guessed.
Stars and usage
How Awesome-LLM-Inference is growing
16 to 21
Sources
Where this comes from
- github api via nightly crawl, recovered from git history 20e874270887c1008f860ee0198e461a23c9e438Registry
A source shows what was published when we checked it. It does not certify security, performance or a working installation. Read our method.
Changelog
What changed
No changes recorded yet. Releases, price changes and deprecations appear here, with their dates, once we track them for this record.
Pairs with
Other entries in the index that connect to this one. Click through to see the chain.
llama.cpp
Various
LLM inference in C/C++
SGLang
Community
SGLang is a high-performance serving framework for large language models and multimodal models.
TensorRT-LLM
Community
TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizations to perform inference efficiently on NV
vLLM
Community
A high-throughput and memory-efficient inference and serving engine for LLMs
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