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FastAPI Best Practices and Conventions we used at our startup
30 days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than100 days, follow your own pace. These videos ma…
A massively parallel, optimal functional runtime in Rust
A massively parallel, high-level programming language
A comprehensive guide to building RAG-based LLM applications for production.
Class materials for a distributed systems lecture series
WebAssembly binding for llama.cpp - Enabling in-browser LLM inference
Full stack, modern web application template. Using FastAPI, React, SQLModel, PostgreSQL, Docker, GitHub Actions, automatic HTTPS and more.
Deploy a complete data stack in just a couple of minutes.
A benchmark to evaluate language models on questions I've previously asked them to solve.
A library for building fast, reliable and evolvable network services.
Installation and usage guide for Triton TRT-LLM
A collection of learning resources for curious software engineers
Poetry plugin for dynamically extracting the package version from a __version__ variable or a Git tag.
Large-scale, Informative, and Diverse Multi-round Chat Data (and Models)
RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language Models
OpenCompass is an LLM evaluation platform, supporting a wide range of models (Llama3, Mistral, InternLM2,GPT-4,LLaMa2, Qwen,GLM, Claude, etc) over 100+ datasets.
An efficient, flexible and full-featured toolkit for fine-tuning LLM (InternLM2, Llama3, Phi3, Qwen, Mistral, ...)
Crawl a site to generate knowledge files to create your own custom GPT from a URL
DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models
A principled instruction benchmark on formulating effective queries and prompts for large language models (LLMs). Our paper: https://arxiv.org/abs/2312.16171
LightLLM is a Python-based LLM (Large Language Model) inference and serving framework, notable for its lightweight design, easy scalability, and high-speed performance.
TinyGPT-V: Efficient Multimodal Large Language Model via Small Backbones
A high-throughput and memory-efficient inference and serving engine for LLMs