Best AI tools for< Download Supported Models >

MacWhisper is a native macOS application that utilizes OpenAI's Whisper technology for transcribing audio files into text. It offers a user-friendly interface for recording, transcribing, and editing audio, making it suitable for various use cases such as transcribing meetings, lectures, interviews, and podcasts. The application is designed to protect user privacy by performing all transcriptions locally on the device, ensuring that no data leaves the user's machine.

Quiz Solver is an AI-powered study companion that helps users crack their questions and master their quizzes. It is a Chrome extension that can be used to solve multiple-choice questions from any quiz or assignment from a supported website or LMS. Quiz Solver uses GPT-4, a powerful AI language model, to provide accurate and instant answers. It is privacy-centric and universally compatible, making it a valuable tool for students and professionals alike.

LM Studio is an AI tool designed for discovering, downloading, and running local LLMs (Large Language Models). Users can run LLMs on their laptops offline, use models through an in-app Chat UI or a local server, download compatible model files from HuggingFace repositories, and discover new LLMs. The tool ensures privacy by not collecting data or monitoring user actions, making it suitable for personal and business use. LM Studio supports various models like ggml Llama, MPT, and StarCoder on Hugging Face, with minimum hardware/software requirements specified for different platforms.

SQLPilot is an AI-first SQL editor that leverages artificial intelligence to help users quickly generate complex SQL queries. The tool supports multiple GPT models, offers SQL autocomplete, ensures privacy and security by not storing user data, and allows users to download query results in CSV format. With SQLPilot, users can write prompts in natural language, mention required tables, and let the AI model generate the query with all the necessary context. Testimonials from users highlight the tool's efficiency, accuracy, and time-saving capabilities in database management.

AnythingLLM is an all-in-one AI application designed for everyone. It offers a comprehensive suite of tools for working with LLMs (Large Language Models), documents, and agents in a fully private manner. Users can download AnythingLLM for Desktop on Windows, MacOS, and Linux, enabling flexible one-click installation. The application supports custom model integration, including closed-source models like GPT-4 and custom fine-tuned models like Llama2. With the ability to handle various document formats beyond PDFs, AnythingLLM provides tailored solutions with locally running defaults for privacy. Additionally, users can access AnythingLLM Cloud for extended functionalities.

Text to Speech Online is a free AI tool that offers unlimited text-to-speech conversion with over 409 realistic voices and 129 languages & dialects. Users can convert text to speech in seconds without the need to log in or sign up. The tool supports multiple languages and accents, including standard voices and AI voices, and offers flexible pricing models. Users can enjoy a full set of SSML features, create natural-sounding speech, download audio in MP3 or WAV formats, and share results on various platforms. Text to Speech Online is a versatile tool that can be used for various purposes, including providing audio cues for visually impaired users, assisting in education, creating audio versions of books, and developing virtual assistants.

Lotto Chart is a highly accurate AI-powered chart for predicting lottery numbers. It harnesses the power of artificial intelligence, statistical analysis, and probability to generate winning combinations for various lotteries. The application processes billions of data points, utilizes 7 powerful prediction models, and provides advanced data-driven predictions to help users increase their chances of winning. Lotto Chart also offers support for seeded predictions, daily updated insights and reports, and tools to easily identify patterns and trends in lottery numbers.

Bibit AI is a real estate marketing AI designed to enhance the efficiency and effectiveness of real estate marketing and sales. It can help create listings, descriptions, and property content, and offers a host of other features. Bibit AI is the world's first AI for Real Estate. We are transforming the real estate industry by boosting efficiency and simplifying tasks like listing creation and content generation.

BG is an online tool that allows users to remove the background from images in one click. It is free to use and does not require any software or plugins. BG uses artificial intelligence to automatically detect and remove the background from images, making it easy to create transparent images or change the background color. BG supports images of all sizes and aspect ratios in PNG and JPG formats.

Dream Machine AI by Luma Labs is an advanced artificial intelligence model designed to generate high-quality, realistic videos quickly from text and images. This highly scalable and efficient transformer model is trained directly on videos, enabling it to produce physically accurate, consistent, and eventful shots. The AI can generate 5-second video clips with smooth motion, cinematic quality, and dramatic elements, transforming static snapshots into dynamic stories. It understands interactions between people, animals, and objects, allowing for videos with great character consistency and accurate physics. Dream Machine AI supports a wide range of fluid, cinematic, and naturalistic camera motions that match the emotion and content of the scene.

Chunker AI is an AI tool designed to transform texts with accuracy and scale. It excels at breaking down text into chunks and batch processing using ChatGPT. Users can segment text, edit chunks, write GPT prompts, and process text with AI assistance. Chunker AI is free to use and supports various formats like plain text, PDF, and Youtube links. It offers users the flexibility to experiment with prompts and choose the appropriate AI model based on their needs.

ttsMP3.com is a free Text-To-Speech and Text-to-MP3 tool that allows users to easily convert US English text into professional speech for various purposes such as e-learning, presentations, YouTube videos, and website accessibility. The tool offers a wide range of voices in different languages and accents, including regular and AI voices. Users can download the generated speech as MP3 files, and customize speech with features like breaks, emphasis, speed adjustments, pitch variations, whispers, and conversations. Supported voice languages include Arabic, English, Portuguese, Spanish, Chinese, Danish, Dutch, French, German, Icelandic, Indian, Italian, Japanese, Korean, Mexican, Norwegian, Polish, Romanian, Russian, Swedish, Turkish, and Welsh.

PseudoEditor is a free, fast, and online pseudocode IDE/editor designed to assist users in writing and debugging pseudocode efficiently. It offers dynamic syntax highlighting, code saving, error highlighting, and a pseudocode compiler feature. The platform aims to provide a smoother and faster writing environment for creating algorithms, resulting in up to 5x faster pseudocode writing compared to traditional programs like notepad. PseudoEditor is the first and only browser-based pseudocode editor/IDE available for free, supported by ads to cover hosting costs.

Framedrop is an AI tool designed to automatically find the best moments in talking content and supported gaming titles and turn them into short-form videos. It simplifies the process of creating TikToks, YouTube Shorts, and Instagram Reels by speeding up content creation through AI-powered detection and editing features. With Framedrop, creators can easily import videos, let the AI identify highlights, trim clips, add subtitles, and share content across various platforms without the need to download any software.

Cohere is a customer support platform that uses AI to help businesses resolve tickets faster and reduce costs. It offers a range of features, including automated ticket resolution, personalized answers, step-by-step guidance, and advanced analytics. Cohere integrates with existing support resources and can be implemented quickly and easily. It has been used by leading companies to achieve industry-leading outcomes, including Ramp, Loom, Rippling, OpenPhone, Flock Safety, and Podium.

TTS Generator AI is a free online text-to-speech tool that leverages cutting-edge AI technology to convert written text into high-quality, natural-sounding audio. This tool is invaluable for a variety of users, including students who need auditory learning materials, researchers who want to listen to long documents, and professionals seeking to make their written content more accessible. One of the standout features of TTS Tool is its ability to support a range of text formats, from simple text files to complex PDFs, making it incredibly versatile.

The TikTok Voice Generator is a free text-to-speech tool that allows users to transform text into various TikTok voices, such as popular lady voice, rocket, Ghostface (scream), and many more. It supports multiple languages and voice styles, giving users the option to download the generated voice for various purposes like reading text aloud, creating content, or editing. The tool offers a user-friendly interface and a wide range of voice options to cater to different preferences and needs.

AskNow is a website that allows users to have audio conversations with AI-powered avatars. Users can choose from a variety of avatars, each with its own unique personality and expertise. AskNow can be used for a variety of purposes, including getting advice, learning new things, or simply having a conversation. The website is easy to use and the avatars are very realistic. AskNow is a great way to experience the power of AI and to have some fun at the same time.

TTSMaker is a free online text-to-speech tool that allows users to convert text into natural-sounding speech. It supports multiple languages and voices, and the resulting audio files can be downloaded for free and used for commercial purposes. TTSMaker is a valuable tool for creating audiobooks, dubbing videos, and other projects that require high-quality voiceovers.

This website provides a free text-to-speech converter tool that utilizes Microsoft's AI speech library to synthesize realistic-sounding speech from text. It offers customizable voice options, fine-tuned speech controls, and multilingual support with over 330 neural network voices across 129 languages. The tool is accessible on various browsers, including Chrome, Firefox, and Edge, and can be used for a range of applications, such as text readers and voice-enabled assistants.

LLMFarm is an iOS and MacOS app designed to work with large language models (LLM). It allows users to load different LLMs with specific parameters, test the performance of various LLMs on iOS and macOS, and identify the most suitable model for their projects. The tool is based on ggml and llama.cpp by Georgi Gerganov and incorporates sources from rwkv.cpp by saharNooby, Mia by byroneverson, and LlamaChat by alexrozanski. LLMFarm features support for MacOS (13+) and iOS (16+), various inferences and sampling methods, Metal compatibility (not supported on Intel Mac), model setting templates, LoRA adapters support, LoRA finetune support, LoRA export as model support, and more. It also offers a range of inferences including LLaMA, GPTNeoX, Replit, GPT2, Starcoder, RWKV, Falcon, MPT, Bloom, and others. Additionally, it supports multimodal models like LLaVA, Obsidian, and MobileVLM. Users can customize inference options through JSON files and access supported models for download.

OpenCompass is a one-stop platform for large model evaluation, aiming to provide a fair, open, and reproducible benchmark for large model evaluation. Its main features include: * Comprehensive support for models and datasets: Pre-support for 20+ HuggingFace and API models, a model evaluation scheme of 70+ datasets with about 400,000 questions, comprehensively evaluating the capabilities of the models in five dimensions. * Efficient distributed evaluation: One line command to implement task division and distributed evaluation, completing the full evaluation of billion-scale models in just a few hours. * Diversified evaluation paradigms: Support for zero-shot, few-shot, and chain-of-thought evaluations, combined with standard or dialogue-type prompt templates, to easily stimulate the maximum performance of various models. * Modular design with high extensibility: Want to add new models or datasets, customize an advanced task division strategy, or even support a new cluster management system? Everything about OpenCompass can be easily expanded! * Experiment management and reporting mechanism: Use config files to fully record each experiment, and support real-time reporting of results.

DuoAttention is a framework designed to optimize long-context large language models (LLMs) by reducing memory and latency during inference without compromising their long-context abilities. It introduces a concept of Retrieval Heads and Streaming Heads to efficiently manage attention across tokens. By applying a full Key and Value (KV) cache to retrieval heads and a lightweight, constant-length KV cache to streaming heads, DuoAttention achieves significant reductions in memory usage and decoding time for LLMs. The framework uses an optimization-based algorithm with synthetic data to accurately identify retrieval heads, enabling efficient inference with minimal accuracy loss compared to full attention. DuoAttention also supports quantization techniques for further memory optimization, allowing for decoding of up to 3.3 million tokens on a single GPU.

AI Toolkit for Visual Studio Code simplifies generative AI app development by bringing together cutting-edge AI development tools and models from Azure AI Studio Catalog and other catalogs like Hugging Face. Users can browse the AI models catalog, download them locally, fine-tune, test, and deploy them to the cloud. The toolkit offers actions such as finding supported models, testing model inference, fine-tuning models locally or remotely, and deploying fine-tuned models to the cloud. It also provides optimized AI models for Windows and a Q&A section for common issues and resolutions.

The LlamaEdge project makes it easy to run LLM inference apps and create OpenAI-compatible API services for the Llama2 series of LLMs locally. It provides a Rust+Wasm stack for fast, portable, and secure LLM inference on heterogeneous edge devices. The project includes source code for text generation, chatbot, and API server applications, supporting all LLMs based on the llama2 framework in the GGUF format. LlamaEdge is committed to continuously testing and validating new open-source models and offers a list of supported models with download links and startup commands. It is cross-platform, supporting various OSes, CPUs, and GPUs, and provides troubleshooting tips for common errors.

This repository contains Refact WebUI for fine-tuning and self-hosting of code models, which can be used inside Refact plugins for code completion and chat. Users can fine-tune open-source code models, self-host them, download and upload Lloras, use models for code completion and chat inside Refact plugins, shard models, host multiple small models on one GPU, and connect GPT-models for chat using OpenAI and Anthropic keys. The repository provides a Docker container for running the self-hosted server and supports various models for completion, chat, and fine-tuning. Refact is free for individuals and small teams under the BSD-3-Clause license, with custom installation options available for GPU support. The community and support include contributing guidelines, GitHub issues for bugs, a community forum, Discord for chatting, and Twitter for product news and updates.

llm-playground is a repository for experimenting with Llama2, a language model. Users can download the Ollama tool and fetch different Llama2 models to conduct experiments and tests. The repository is maintained by a 10x-React-Engineer.

MindNLP is an open-source NLP library based on MindSpore. It provides a platform for solving natural language processing tasks, containing many common approaches in NLP. It can help researchers and developers to construct and train models more conveniently and rapidly. Key features of MindNLP include: * Comprehensive data processing: Several classical NLP datasets are packaged into a friendly module for easy use, such as Multi30k, SQuAD, CoNLL, etc. * Friendly NLP model toolset: MindNLP provides various configurable components. It is friendly to customize models using MindNLP. * Easy-to-use engine: MindNLP simplified complicated training process in MindSpore. It supports Trainer and Evaluator interfaces to train and evaluate models easily. MindNLP supports a wide range of NLP tasks, including: * Language modeling * Machine translation * Question answering * Sentiment analysis * Sequence labeling * Summarization MindNLP also supports industry-leading Large Language Models (LLMs), including Llama, GLM, RWKV, etc. For support related to large language models, including pre-training, fine-tuning, and inference demo examples, you can find them in the "llm" directory. To install MindNLP, you can either install it from Pypi, download the daily build wheel, or install it from source. The installation instructions are provided in the documentation. MindNLP is released under the Apache 2.0 license. If you find this project useful in your research, please consider citing the following paper: @misc{mindnlp2022, title={{MindNLP}: a MindSpore NLP library}, author={MindNLP Contributors}, howpublished = {\url{https://github.com/mindlab-ai/mindnlp}}, year={2022} }

The Intel® AI Reference Models repository contains links to pre-trained models, sample scripts, best practices, and tutorials for popular open-source machine learning models optimized by Intel to run on Intel® Xeon® Scalable processors and Intel® Data Center GPUs. The purpose is to quickly replicate complete software environments showcasing the AI capabilities of Intel platforms. It includes optimizations for popular deep learning frameworks like TensorFlow and PyTorch, with additional plugins/extensions for improved performance. The repository is licensed under Apache License Version 2.0.

The Intel® AI Reference Models repository contains links to pre-trained models, sample scripts, best practices, and tutorials for popular open-source machine learning models optimized by Intel to run on Intel® Xeon® Scalable processors and Intel® Data Center GPUs. It aims to replicate the best-known performance of target model/dataset combinations in optimally-configured hardware environments. The repository will be deprecated upon the publication of v3.2.0 and will no longer be maintained or published.

Nexa SDK is a comprehensive toolkit supporting ONNX and GGML models for text generation, image generation, vision-language models (VLM), and text-to-speech (TTS) capabilities. It offers an OpenAI-compatible API server with JSON schema mode and streaming support, along with a user-friendly Streamlit UI. Users can run Nexa SDK on any device with Python environment, with GPU acceleration supported. The toolkit provides model support, conversion engine, inference engine for various tasks, and differentiating features from other tools.

This repository provides a tool to create an AI chatbot clone of yourself using your WhatsApp chats as training data. It utilizes the Torchtune library for finetuning and inference. The code includes preprocessing of WhatsApp chats, finetuning models, and chatting with the AI clone via a command-line interface. Supported models are Llama3-8B-Instruct and Mistral-7B-Instruct-v0.2. Hardware requirements include approximately 16 GB vRAM for QLoRa Llama3 finetuning with a 4k context length. The repository addresses common issues like adjusting parameters for training and preprocessing non-English chats.

Entirely-in-browser, fully private LLM chatbot supporting Llama 3, Mistral and other open source models. Fully private = No conversation data ever leaves your computer. Runs in the browser = No server needed and no install needed! Works offline. Easy-to-use interface on par with ChatGPT, but for open source LLMs. System requirements include a modern browser with WebGPU support. Supported models include TinyLlama-1.1B-Chat-v0.4-q4f32_1-1k, Llama-3-8B-Instruct-q4f16_1, Phi1.5-q4f16_1-1k, and Mistral-7B-Instruct-v0.2-q4f16_1. Looking for contributors to improve the interface, support more models, speed up initial model loading time, and fix bugs.

RVC_CLI is a command line interface tool for retrieval-based voice conversion. It provides functionalities for installation, getting started, inference, training, UVR, additional features, and API integration. Users can perform tasks like single inference, batch inference, TTS inference, preprocess dataset, extract features, start training, generate index file, model extract, model information, model blender, launch TensorBoard, download models, audio analyzer, and prerequisites download. The tool is built on various projects like ContentVec, HIFIGAN, audio-slicer, python-audio-separator, RMVPE, FCPE, VITS, So-Vits-SVC, Harmonify, and others.

LLMBox is a comprehensive library designed for implementing Large Language Models (LLMs) with a focus on a unified training pipeline and comprehensive model evaluation. It serves as a one-stop solution for training and utilizing LLMs, offering flexibility and efficiency in both training and utilization stages. The library supports diverse training strategies, comprehensive datasets, tokenizer vocabulary merging, data construction strategies, parameter efficient fine-tuning, and efficient training methods. For utilization, LLMBox provides comprehensive evaluation on various datasets, in-context learning strategies, chain-of-thought evaluation, evaluation methods, prefix caching for faster inference, support for specific LLM models like vLLM and Flash Attention, and quantization options. The tool is suitable for researchers and developers working with LLMs for natural language processing tasks.

Felafax is a framework designed to tune LLaMa3.1 on Google Cloud TPUs for cost efficiency and seamless scaling. It provides a Jupyter notebook for continued-training and fine-tuning open source LLMs using XLA runtime. The goal of Felafax is to simplify running AI workloads on non-NVIDIA hardware such as TPUs, AWS Trainium, AMD GPU, and Intel GPU. It supports various models like LLaMa-3.1 JAX Implementation, LLaMa-3/3.1 PyTorch XLA, and Gemma2 Models optimized for Cloud TPUs with full-precision training support.

LangDrive is an open-source AI library that simplifies training, deploying, and querying open-source large language models (LLMs) using private data. It supports data ingestion, fine-tuning, and deployment via a command-line interface, YAML file, or API, with a quick, easy setup. Users can build AI applications such as question/answering systems, chatbots, AI agents, and content generators. The library provides features like data connectors for ingestion, fine-tuning of LLMs, deployment to Hugging Face hub, inference querying, data utilities for CRUD operations, and APIs for model access. LangDrive is designed to streamline the process of working with LLMs and making AI development more accessible.

SWIFT (Scalable lightWeight Infrastructure for Fine-Tuning) supports training, inference, evaluation and deployment of nearly **200 LLMs and MLLMs** (multimodal large models). Developers can directly apply our framework to their own research and production environments to realize the complete workflow from model training and evaluation to application. In addition to supporting the lightweight training solutions provided by [PEFT](https://github.com/huggingface/peft), we also provide a complete **Adapters library** to support the latest training techniques such as NEFTune, LoRA+, LLaMA-PRO, etc. This adapter library can be used directly in your own custom workflow without our training scripts. To facilitate use by users unfamiliar with deep learning, we provide a Gradio web-ui for controlling training and inference, as well as accompanying deep learning courses and best practices for beginners. Additionally, we are expanding capabilities for other modalities. Currently, we support full-parameter training and LoRA training for AnimateDiff.

xFasterTransformer is an optimized solution for Large Language Models (LLMs) on the X86 platform, providing high performance and scalability for inference on mainstream LLM models. It offers C++ and Python APIs for easy integration, along with example codes and benchmark scripts. Users can prepare models in a different format, convert them, and use the APIs for tasks like encoding input prompts, generating token ids, and serving inference requests. The tool supports various data types and models, and can run in single or multi-rank modes using MPI. A web demo based on Gradio is available for popular LLM models like ChatGLM and Llama2. Benchmark scripts help evaluate model inference performance quickly, and MLServer enables serving with REST and gRPC interfaces.

ChatLLM.cpp is a pure C++ implementation tool for real-time chatting with RAG on your computer. It supports inference of various models ranging from less than 1B to more than 300B. The tool provides accelerated memory-efficient CPU inference with quantization, optimized KV cache, and parallel computing. It allows streaming generation with a typewriter effect and continuous chatting with virtually unlimited content length. ChatLLM.cpp also offers features like Retrieval Augmented Generation (RAG), LoRA, Python/JavaScript/C bindings, web demo, and more possibilities. Users can clone the repository, quantize models, build the project using make or CMake, and run quantized models for interactive chatting.

Create PowerPoint PPTX presentations with ChatGPT. Use prompts to directly create PowerPoint files. Supports any topic. Download as PPTX or PDF. Presentation GPT is the best GPT to create PowerPoint presentations.

最新トレンドを調査し、表紙をJPGまたはPNGでダウンロード可能にするAmazon Kindle出版支援ゴーストライター

Assists in downloading any video resource.

create professional consulting slide with preview on chatgpt and free download as pptx

Assists in finding music download platforms, prioritizes free options.

Download and Run Open Source LLMs Locally.

Download data from the internet. Fetch the content of sites and make it available to the session, given a URL.

I invert colors in photos and provide download links.

Your article formatting expert with Word download link feature.

I help you to explore the galaxy by answering astronomy questions with the Gaia Space Telescope. Ask a question, download .csv, upload .csv for plotting

Public Domain PDF Books Finder GPT offers an expansive library of PDFs for easy search and download. It now specializes in finding public domain books from trusted sources.

Efficiently converts wireframes to Tailwind HTML with code and download link.

Print individual (1) die cut stickers. I create custom stickers and guide you to download them. After downloading them, you can send them to Midwest Label and print out 1-100 individual labels.

Make custom Pokémon from camera. Download and battle them verses real ones! (beta)

Upload an image of an event poster, download the event as a .ICS file

Your go-to source for in-depth US zip code demographics and statistics, with easy-to-download data tables.

Approachable expert on FDA medical device regulation. Offering direct download links for related regulation and guidance documents from FDA sites.

I'm a search engine for jobs opportunities in the aerospace industry. DOWNLOAD YOUR CV or ENTER YOUR JOB TITLE / Je suis un moteur de recherche d'offres d'emploi, d'alternance, de stages dans le secteur de l'Aéronautique. TÉLÉCHARGER VOTRE CV ou SAISISSEZ LE TITRE DE VOTRE MÉTIER.

A GPT that can create PDFs and DocX documents, worksheets, resumes, etc. for you to directly download. See example outputs on https://www.gpt2office.com/

Access free car repair manuals and auto repair manuals with our AI tool. Ideal for DIY car repair, use online car repair manuals and download car repair manuals. Discover the best car repair manuals for beginners and use car diagnostic tools. Buy car parts online and follow a car maintenance .