Revanth-Badveli

FFMPerative

Chat to Compose Video

unsloth

Finetune Llama 3.1, Mistral, Phi & Gemma LLMs 2-5x faster with 80% less memory

Loyal-Elephie

Your Trusty Memory-enabled AI Companion - Simple RAG chatbot optimized for local LLMs | 12 Languages Supported | OpenAI API Compatible

augmentoolkit

Convert Compute And Books Into Instruct-Tuning Datasets (or classifiers)!

leon

🧠 Leon is your open-source personal assistant.

instruction-datasets

All available datasets for Instruction Tuning of Large Language Models

RLHF-Reward-Modeling

Recipes to train reward model for RLHF.

NeuScraper

[ACL 2024] This is the code repo for our ACL’24 paper "Cleaner Pretraining Corpus Curation with Neural Web Scraping".

crawlee

Crawlee—A web scraping and browser automation library for Node.js to build reliable crawlers. In JavaScript and TypeScript. Extract data for AI, LLMs, RAG, or GPTs. Download HTML, PDF, JPG, PNG, and other files from websites. Works with Puppeteer, Playwright, Cheerio, JSDOM, and raw HTTP. Both headful and headless mode. With proxy rotation.

scrapy

Scrapy, a fast high-level web crawling & scraping framework for Python.

trafilatura

Python & Command-line tool to gather text and metadata on the Web: Crawling, scraping, extraction, output as CSV, JSON, HTML, MD, TXT, XML

pipflow

llama-cpp-agent

The llama-cpp-agent framework is a tool designed for easy interaction with Large Language Models (LLMs). Allowing users to chat with LLM models, execute structured function calls and get structured output. Works also with models not fine-tuned to JSON output and function calls.

llama-cpp-guidance

A guidance compatibility layer for llama-cpp-python

litellm

Python SDK, Proxy Server to call 100+ LLM APIs using the OpenAI format - [Bedrock, Azure, OpenAI, VertexAI, Cohere, Anthropic, Sagemaker, HuggingFace, Replicate, Groq]

awesome-llm-json

Resource list for generating JSON using LLMs via function calling, tools, CFG. Libraries, Models, Notebooks, etc.

local-llm-function-calling

A tool for generating function arguments and choosing what function to call with local LLMs

MultiAgentLLM

local_function_calling

This repository contains a Python implementation that allows you to use gorilla-llm/gorilla-openfunctions-v2 LLM to perform function calling using the OpenAI protocol. It provides a way to extend the capabilities of the local model by enabling it to generate function arguments and execute functions based on the provided specifications.

guidance

A guidance language for controlling large language models.

lmql

A language for constraint-guided and efficient LLM programming.

functionary

Chat language model that can use tools and interpret the results

Hermes-Function-Calling

notebooks

Collection of notebook guides created by the Brev.dev team!

infoworks-python-sdk

gorilla

Gorilla: Training and Evaluating LLMs for Function Calls (Tool Calls)