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RWKV (pronounced RwaKuv) is an RNN with great LLM performance, which can also be directly trained like a GPT transformer (parallelizable). We are at RWKV-7 "Goose". So it's combining the best of RN…
QLoRA: Efficient Finetuning of Quantized LLMs
Real-time customizable spectrogram written in React
Google Cloud Client Library for Python
Audiocraft is a library for audio processing and generation with deep learning. It features the state-of-the-art EnCodec audio compressor / tokenizer, along with MusicGen, a simple and controllable…
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
Interact with your documents using the power of GPT, 100% privately, no data leaks
Code of ICLR2023 paper "TaskPrompter: Spatial-Channel Multi-Task Prompting for Dense Scene Understanding" and ECCV2022 paper "Inverted Pyramid Multi-task Transformer for Dense Scene Understanding"
Customizable implementation of the self-instruct paper.
ImageBind One Embedding Space to Bind Them All
antimatter15 / alpaca.cpp
Forked from ggml-org/llama.cppLocally run an Instruction-Tuned Chat-Style LLM
Implementation of the LLaMA language model based on nanoGPT. Supports flash attention, Int8 and GPTQ 4bit quantization, LoRA and LLaMA-Adapter fine-tuning, pre-training. Apache 2.0-licensed.
An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.
OpenLLaMA, a permissively licensed open source reproduction of Meta AI’s LLaMA 7B trained on the RedPajama dataset
The official Python library for the OpenAI API
AudioGPT: Understanding and Generating Speech, Music, Sound, and Talking Head
Hackable and optimized Transformers building blocks, supporting a composable construction.
This library has moved to https://github.com/googleapis/google-cloud-python/tree/main/packages/google-cloud-vision
Code and documentation to train Stanford's Alpaca models, and generate the data.
Node Version Manager - POSIX-compliant bash script to manage multiple active node.js versions
[T-PAMI-2024] Transformer-Based Visual Segmentation: A Survey
TensorFlow Metal Backend on Apple Silicon Experiments (just for fun)