adithya-s-k/LLM-InferenceNet
LLM InferenceNet is a C++ project designed to facilitate fast and efficient inference from Large Language Models (LLMs) using a client-server architecture. It enables optimized interactions with pre-trained language models, making deployment on edge devices easier.
This project helps developers integrate powerful Large Language Models (LLMs) like LLaMa2 into their applications, especially on resource-constrained 'edge' devices. It takes a pre-trained LLM and user input, then outputs text predictions or responses, optimizing the process for speed. Developers and engineers working on AI-powered applications, particularly for embedded systems or local processing, would use this.
No commits in the last 6 months.
Use this if you need to run large language models efficiently and quickly on edge devices or within a client-server architecture, minimizing computational load.
Not ideal if you are an end-user looking for a ready-to-use application, or if you don't have development expertise in C++ and deploying AI models.
Stars
7
Forks
—
Language
C++
License
—
Category
Last pushed
Jul 28, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/transformers/adithya-s-k/LLM-InferenceNet"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
vllm-project/vllm
A high-throughput and memory-efficient inference and serving engine for LLMs
sgl-project/sglang
SGLang is a high-performance serving framework for large language models and multimodal models.
alibaba/MNN
MNN: A blazing-fast, lightweight inference engine battle-tested by Alibaba, powering...
xorbitsai/inference
Swap GPT for any LLM by changing a single line of code. Xinference lets you run open-source,...
tensorzero/tensorzero
TensorZero is an open-source stack for industrial-grade LLM applications. It unifies an LLM...