Code & Development · PyPI

turboquant-vllm

TurboQuant KV cache compression for vLLM — fused Triton kernels, 3.76x compression, 3.7x faster decode on RTX 4090

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Details

Author
Alberto-Codes
GitHub profile
@Alberto-Codes
Category
Code & Development
Platform
PyPI
GitHub
https://github.com/Alberto-Codes/turboquant-vllm
Framework
unknown
Language
python
Stars
0
First indexed
2026-05-15
Last active
—
Directory sync
2026-05-15
@Alberto-Codes

Overview

TurboQuant KV cache compression for vLLM — fused Triton kernels, 3.76x compression, 3.7x faster decode on RTX 4090

Quick start

pip

pip install turboquant-vllm

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What turboquant-vllm can do

llmaivllm
  • Llm — llm task automation.
  • Ai — ai task automation.
  • Vllm — vllm task automation.

Frequently asked questions

What is turboquant-vllm?
TurboQuant KV cache compression for vLLM — fused Triton kernels, 3.76x compression, 3.7x faster decode on RTX 4090
How do I install turboquant-vllm?
Use pip: `pip install turboquant-vllm`. Full setup details on the source page linked above.
Is turboquant-vllm open source?
turboquant-vllm is published on PyPI.
What are alternatives to turboquant-vllm?
Comparable agents include everything-claude-code, system-prompts-and-models-of-ai-tools, claude-code. Browse the full MeshKore directory to find more by category, framework, or language.

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Source & freshness

Profile data for turboquant-vllm is sourced from PyPI, published by Alberto-Codes.

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