ZhiLight
A highly optimized LLM inference acceleration engine for Llama and its variants.
GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
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Decision brief
ZhiLight is an LLM inference acceleration engine aimed at enhancing serving and inference efficiency for Llama models using CUDA integration with C++ programming.
Good fit when
- Use ZhiLight if your application specifically requires optimization for Llama model variants, as it has specialized capabilities for this purpose.
- Consider ZhiLight when you need to deploy on hardware that benefits from CUDA acceleration, given its deep integration with GPU technology.
Avoid when
- Avoid using ZhiLight if your project relies on models other than Llama and its variants since the tool is optimized specifically for these models.
- If your infrastructure does not include CUDA-compatible GPUs, or you prefer non-GPU-based acceleration solutions, then ZhiLight might not be advantageous.
- Pricing:
- freemium - The open-source version of ZhiLight is available under the Apache-2.0 license, allowing free use and modification.
Observed Jul 14, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Slowing (185d since push)
- As of Sep 19, 2026
- Provenance
- Not a fork · Organization account
- As of Sep 19, 2026
- Security (OSV)
- No lockfile
- As of Jul 11, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
git clone https://github.com/zhihu/ZhiLightSimilar tools
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Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
ZhiLight is an advanced tool designed to improve the efficiency of LLM inference tasks related to Llama models and their variations, using C++ as primary language with optimizations including CUDA integration. It aims to provide faster serving and inference capabilities for deep learning models.
Capability facts
- Languages
- c++
Source: github.language · Sep 19, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Sep 20, 2026)
ZhiLight only depends on the CUDA runtime, cuBLAS, NCCL, and a few Python packages in requirements.txt. You can use the image below for running or buildinSource link
Tags
README
Install directly cd ./ZhiLight && pip install e . ✈️ Docker Image ZhiLight only depends on the CUDA runtime, cuBLAS, NCCL, and a few Python packages in requirements.txt. You can use the image below for running or building it. You can also directly refer to docker/Dockerfile.
For agents
This page has a .md twin and JSON over the API.