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jeffser.com

Alpaca is an Ollama client for managing and chatting with multiple models locally, described as an easy and beginner-friendly way of interacting with local AI; online providers are also available. It offers image recognition, custom models and file analysis, stores conversations locally and is licensed under GPL-3.0.

Linux & macOS Software 0
github.com

Alpaca is a project that provides code and documentation to train Stanford's Alpaca instruction-following LLaMA models and generate associated training data. It includes details on the data release, data generation process, and fine-tuning procedures.

Models & Machine Learning 0
crfm.stanford.edu

Alpaca 7B is a model fine-tuned from the LLaMA 7B model on 52K instruction-following demonstrations. In a preliminary evaluation of single-turn instruction following, it behaved qualitatively similarly to OpenAI's text-davinci-003 while being small and cheap to reproduce.

AI Coding & Development 0
getalpaca.io

Alpaca creates or edits images with generative AI and text-based controls.

AI Image Generation 0
github.com

alpaca-lora is a repository with code for reproducing the Stanford Alpaca results using low-rank adaptation (LoRA). It provides an Instruct model and training code that can be easily extended to the 13b, 30b and 65b models, along with a script for downloading and inference.

Models & Machine Learning 0
github.com

Chinese LLM, Based on LLaMA and fine tune by Stanford Alpaca, Alpaca LoRA, Japanese-Alpaca-LoRA.

Models & Machine Learning 0
github.com

Open-source project that provides conversational AI for questions, tasks, and general assistance.

AI Assistants & Chatbots 0
llamachat.app

LlamaChat is a free, open-source macOS application for chatting with LLaMA, Alpaca and GPT4All models running locally on a Mac. It can import raw PyTorch model checkpoints or pre-converted .ggml model files. The application is powered by llama.cpp and llama.swift and is not distributed with any model files.

Linux & macOS Software 0
github.com

PyBroker is a Python framework for developing algorithmic trading strategies with a focus on machine learning. It provides a backtesting engine built in NumPy and accelerated with Numba, model training and backtesting using Walkforward Analysis, parameter optimization with Optuna, and access to historical data from Alpaca, Yahoo Finance, and AKShare. It supports Python 3.11+ on Windows, Mac, and Linux.

Models & Machine Learning 0