EXPRESS REST API CACHING + RATE LIMITING + KV-STORE
-
Updated
Apr 16, 2024 - JavaScript
EXPRESS REST API CACHING + RATE LIMITING + KV-STORE
This a minimal implementation of a GPT model but it has some advanced features such as temperature/ top-k/ top-p sampling, and KV Cache.
Image Captioning With MobileNet-LLaMA 3
Mistral and Mixtral (MoE) from scratch
Java-based caching solution designed to temporarily store key-value pairs with a specified time-to-live (TTL) duration.
Fine-Tuned Mistral 7B Persian Large Language Model LLM / Persian Mistral 7B
This repository contains an implementation of the LLaMA 2 (Large Language Model Meta AI) model, a Generative Pretrained Transformer (GPT) variant. The implementation focuses on the model architecture and the inference process. The code is restructured and heavily commented to facilitate easy understanding of the key parts of the architecture.
Notes about LLaMA 2 model
Easy control for Key-Value Constrained Generative LLM Inference(https://arxiv.org/abs/2402.06262)
Completion After Prompt Probability. Make your LLM make a choice
[NeurIPS'23] H2O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models.
A Golang implemented Redis Server and Cluster. Go 语言实现的 Redis 服务器和分布式集群
Add a description, image, and links to the kv-cache topic page so that developers can more easily learn about it.
To associate your repository with the kv-cache topic, visit your repo's landing page and select "manage topics."