Best AI tools for< Ai Model Quantization Specialist >

Private LLM is a secure, local, and private AI chatbot designed for iOS and macOS devices. It operates offline, ensuring that user data remains on the device, providing a safe and private experience. The application offers a range of features for text generation and language assistance, utilizing state-of-the-art quantization techniques to deliver high-quality on-device AI experiences without compromising privacy. Users can access a variety of open-source LLM models, integrate AI into Siri and Shortcuts, and benefit from AI language services across macOS apps. Private LLM stands out for its superior model performance and commitment to user privacy, making it a smart and secure tool for creative and productive tasks.

Enhans AI Model Generator is an advanced AI tool designed to help users generate AI models efficiently. It utilizes cutting-edge algorithms and machine learning techniques to streamline the model creation process. With Enhans AI Model Generator, users can easily input their data, select the desired parameters, and obtain a customized AI model tailored to their specific needs. The tool is user-friendly and does not require extensive programming knowledge, making it accessible to a wide range of users, from beginners to experts in the field of AI.

VModel.AI is an AI fashion models generator that revolutionizes on-model photography for fashion retailers. It utilizes artificial intelligence to create high-quality on-model photography without the need for elaborate photoshoots, reducing model photography costs by 90%. The tool helps diversify stores, improve E-commerce engagement, reduce returns, promote diversity and inclusion in fashion, and enhance product offerings.

Together AI is an AI tool that offers a variety of generative AI services, including serverless models, fine-tuning capabilities, dedicated endpoints, and GPU clusters. Users can run or fine-tune leading open source models with only a few lines of code. The platform provides a range of functionalities for tasks such as chat, vision, text-to-speech, code/language reranking, and more. Together AI aims to simplify the process of utilizing AI models for various applications.

Flux LoRA Model Library is an AI tool that provides a platform for finding and using Flux LoRA models suitable for various projects. Users can browse a catalog of popular Flux LoRA models and learn about FLUX models and LoRA (Low-Rank Adaptation) technology. The platform offers resources for fine-tuning models and ensuring responsible use of generated images.

Weights & Biases is an AI tool that offers documentation, guides, tutorials, and support for using AI models in applications. The platform provides two main products: W&B Weave for integrating AI models into code and W&B Models for building custom AI models. Users can access features such as tracing, output evaluation, cost estimates, hyperparameter sweeps, model registry, and more. Weights & Biases aims to simplify the process of working with AI models and improving model reproducibility.

Vidu AI is a powerful AI video generator that leverages advanced artificial intelligence technology to automatically create engaging videos. The platform offers a user-friendly interface that allows users to easily input their content and preferences, and then generates high-quality videos in a matter of minutes. With Vidu AI, users can create professional-looking videos for various purposes such as marketing, social media, education, and more. The application simplifies the video creation process, making it accessible to individuals and businesses without extensive video editing experience.

Vidu is a leading AI video generation platform that empowers users to bring their creative vision to life through the creation of dynamic videos. It offers features such as Multi-Entity Consistency for aligning videos with reference subjects, ultra-fast generation speed, powerful semantic understanding, and realistic, large-scale movements. Vidu caters to diverse creative fields like film, animation, and advertising, providing users with innovative ways to streamline production, lower costs, and increase creative freedom.

Gemini is a large and powerful AI model developed by Google. It is designed to handle a wide variety of text and image reasoning tasks, and it can be used to build a variety of AI-powered applications. Gemini is available in three sizes: Ultra, Pro, and Nano. Ultra is the most capable model, but it is also the most expensive. Pro is the best performing model for a wide variety of tasks, and it is a good value for the price. Nano is the most efficient model, and it is designed for on-device use cases.

WeShop AI is an AI Creative Studio and Image Editing platform tailored for E-Commerce businesses. It offers advanced AI tools for creating high-quality product and model photos, with features like AI Model Shooting and AI Product Shooting. The platform aims to redefine excellence in E-Commerce imagery by providing users with instant image generation at fractional costs, unlimited AI-generated models, and rich backdrops for product photography. WeShop AI is trusted by over 300,000 users worldwide and caters to a wide range of users, from individual creators to global brands.

KLING AI is a cutting-edge video generation model developed by Kuaishou Kwai company. It can produce detailed and fluid videos at 1080p resolution and 30 frames per second, creating immersive visual experiences up to two minutes in length. The model excels in modeling intricate motion sequences and realistic physical interactions between objects, resulting in highly dynamic and lifelike scenes. From dance routines to action sequences, KLING AI blurs the line between artificial and authentic content.

Langtrace AI is an open-source observability tool powered by Scale3 Labs that helps monitor, evaluate, and improve LLM (Large Language Model) applications. It collects and analyzes traces and metrics to provide insights into the ML pipeline, ensuring security through SOC 2 Type II certification. Langtrace supports popular LLMs, frameworks, and vector databases, offering end-to-end observability and the ability to build and deploy AI applications with confidence.

Flux Image AI Generator is an online tool that utilizes advanced AI technology to transform text prompts into high-quality images in seconds. It offers a range of models catering to different needs, from commercial projects to non-commercial experimentation. With features like image-to-image generation and advanced language understanding, Flux Image AI Generator provides users with unprecedented creative control and speed in generating visuals.

UbiOps is an AI infrastructure platform that helps teams quickly run their AI & ML workloads as reliable and secure microservices. It offers powerful AI model serving and orchestration with unmatched simplicity, speed, and scale. UbiOps allows users to deploy models and functions in minutes, manage AI workloads from a single control plane, integrate easily with tools like PyTorch and TensorFlow, and ensure security and compliance by design. The platform supports hybrid and multi-cloud workload orchestration, rapid adaptive scaling, and modular applications with unique workflow management system.

aoGen is an AI tool that focuses on generating AI fashion models and high-quality images at fractional costs. It offers an all-in-one ecommerce creative solution for showcasing clothing with a variety of models that align with brand aesthetics. Users can easily create AI fashion models in bulk using features like AI Model Upscale, Hands Repair, Repaint, and Eraser Pen. The platform also provides outstanding examples and resources through its blog and help center. Join aoGen's Discord community and visit their YouTube channel to exchange user experiences and unlock your imagination.

Uwear.ai is an AI tool that allows users to easily create stunningly complete photos of AI-generated fashion models in just a few clicks. It turns flat lay photos into studio-quality model visuals, eliminating the need for 3D designs, mannequins, or photos of the product already worn. The platform uses its proprietary AI model to keep the generated clothes as close as possible to the input, helping users sell more by generating realistic human models of different sizes and ethnicities.

AIModels.fyi is a website that helps users find the best AI model for their startup. The website provides a weekly rundown of the latest AI models and research, and also allows users to search for models by category or keyword. AIModels.fyi is a valuable resource for anyone looking to use AI to solve a problem.

Genailia is an AI platform that offers a range of products and services such as translation, transcription, chatbot, LLM, GPT, TTS, ASR, and social media insights. It harnesses AI to redefine possibilities by providing generative AI, linguistic interfaces, accelerators, and more in a single platform. The platform aims to streamline various tasks through AI technology, making it a valuable tool for businesses and individuals seeking efficient solutions.

AI Image Magic Cleanup is an online tool that uses advanced AI technology to remove unwanted objects from images and automatically fill in the background. It is designed to make image editing easier and more efficient, especially for tasks such as removing logos, watermarks, and other distracting elements from photos.

Personal AI is a unique AI model that represents who you truly are. It is trained on your personal memory and is private to you. With Personal AI, you can always be there for yourself, even when you're not physically present. You can use Personal AI to chat with yourself, get advice, or simply reflect on your thoughts and feelings. Personal AI is the perfect way to get to know yourself better and reach your full potential.

AWQ (Activation-aware Weight Quantization) is a tool designed for efficient and accurate low-bit weight quantization (INT3/4) for Large Language Models (LLMs). It supports instruction-tuned models and multi-modal LMs, providing features such as AWQ search for accurate quantization, pre-computed AWQ model zoo for various LLMs, memory-efficient 4-bit linear in PyTorch, and efficient CUDA kernel implementation for fast inference. The tool enables users to run large models on resource-constrained edge platforms, delivering more efficient responses with LLM/VLM chatbots through 4-bit inference.

ABQ-LLM is a novel arbitrary bit quantization scheme that achieves excellent performance under various quantization settings while enabling efficient arbitrary bit computation at the inference level. The algorithm supports precise weight-only quantization and weight-activation quantization. It provides pre-trained model weights and a set of out-of-the-box quantization operators for arbitrary bit model inference in modern architectures.

Qwen-TensorRT-LLM is a project developed for the NVIDIA TensorRT Hackathon 2023, focusing on accelerating inference for the Qwen-7B-Chat model using TRT-LLM. The project offers various functionalities such as FP16/BF16 support, INT8 and INT4 quantization options, Tensor Parallel for multi-GPU parallelism, web demo setup with gradio, Triton API deployment for maximum throughput/concurrency, fastapi integration for openai requests, CLI interaction, and langchain support. It supports models like qwen2, qwen, and qwen-vl for both base and chat models. The project also provides tutorials on Bilibili and blogs for adapting Qwen models in NVIDIA TensorRT-LLM, along with hardware requirements and quick start guides for different model types and quantization methods.

Zeta is a tool designed to build state-of-the-art AI models faster by providing modular, high-performance, and scalable building blocks. It addresses the common issues faced while working with neural nets, such as chaotic codebases, lack of modularity, and low performance modules. Zeta emphasizes usability, modularity, and performance, and is currently used in hundreds of models across various GitHub repositories. It enables users to prototype, train, optimize, and deploy the latest SOTA neural nets into production. The tool offers various modules like FlashAttention, SwiGLUStacked, RelativePositionBias, FeedForward, BitLinear, PalmE, Unet, VisionEmbeddings, niva, FusedDenseGELUDense, FusedDropoutLayerNorm, MambaBlock, Film, hyper_optimize, DPO, and ZetaCloud for different tasks in AI model development.

HF-Waitress is a powerful server application for deploying and interacting with HuggingFace Transformer models. It simplifies running open-source Large Language Models (LLMs) locally on-device, providing on-the-fly quantization via BitsAndBytes, HQQ, and Quanto. It requires no manual model downloads, offers concurrency, streaming responses, and supports various hardware and platforms. The server uses a `config.json` file for easy configuration management and provides detailed error handling and logging.

ms-swift is an official framework provided by the ModelScope community for fine-tuning and deploying large language models and multi-modal large models. It supports training, inference, evaluation, quantization, and deployment of over 400 large models and 100+ multi-modal large models. The framework includes various training technologies and accelerates inference, evaluation, and deployment modules. It offers a Gradio-based Web-UI interface and best practices for easy application of large models. ms-swift supports a wide range of model types, dataset types, hardware support, lightweight training methods, distributed training techniques, quantization training, RLHF training, multi-modal training, interface training, plugin and extension support, inference acceleration engines, model evaluation, and model quantization.

Prime is a framework for efficient, globally distributed training of AI models over the internet. It includes features such as fault-tolerant training with ElasticDeviceMesh, asynchronous distributed checkpointing, live checkpoint recovery, custom Int8 All-Reduce Kernel, maximizing bandwidth utilization, PyTorch FSDP2/DTensor ZeRO-3 implementation, and CPU off-loading. The framework aims to optimize communication, checkpointing, and bandwidth utilization for large-scale AI model training.

This repository provides support for inference RWKV models on Qualcomm HTP (Hexagon Tensor Processor) using QNN SDK. It supports RWKV v5, v6, and experimentally v7 models, inference using Qualcomm CPU, GPU, or HTP as the backend, whole-model float16 inference, activation INT16 and weights INT8 quantized inference, and activation INT16 and weights INT4/INT8 mixed quantized inference. Users can convert model weights to QNN model library files, generate HTP context cache, and run inference on Qualcomm Snapdragon SM8650 with HTP v75. The project requires QNN SDK, AIMET toolkit, and specific hardware for verification.

Ludwig is a declarative deep learning framework designed for scale and efficiency. It is a low-code framework that allows users to build custom AI models like LLMs and other deep neural networks with ease. Ludwig offers features such as optimized scale and efficiency, expert level control, modularity, and extensibility. It is engineered for production with prebuilt Docker containers, support for running with Ray on Kubernetes, and the ability to export models to Torchscript and Triton. Ludwig is hosted by the Linux Foundation AI & Data.

ComfyUI-Ollama-Describer is an extension for ComfyUI that enables the use of LLM models provided by Ollama, such as Gemma, Llava (multimodal), Llama2, Llama3, or Mistral. It requires the Ollama library for interacting with large-scale language models, supporting GPUs using CUDA and AMD GPUs on Windows, Linux, and Mac. The extension allows users to run Ollama through Docker and utilize NVIDIA GPUs for faster processing. It provides nodes for image description, text description, image captioning, and text transformation, with various customizable parameters for model selection, API communication, response generation, and model memory management.

Speechlib is a Python library that provides functionalities for speaker diarization, speaker recognition, and transcription on audio files. It offers features such as converting audio formats to WAV, converting stereo to mono, and re-encoding to 16-bit PCM. The library allows users to transcribe audio files, store transcripts, specify language and model size, and perform speaker recognition using voice samples. It supports various languages and provides performance metrics for different model sizes. Speechlib utilizes huggingface models for speaker recognition and transcription tasks.

llm-resource is a comprehensive collection of high-quality resources for Large Language Models (LLM). It covers various aspects of LLM including algorithms, training, fine-tuning, alignment, inference, data engineering, compression, evaluation, prompt engineering, AI frameworks, AI basics, AI infrastructure, AI compilers, LLM application development, LLM operations, AI systems, and practical implementations. The repository aims to gather and share valuable resources related to LLM for the community to benefit from.

Voice-Pro is an integrated solution for subtitles, translation, and TTS. It offers features like multilingual subtitles, live translation, vocal remover, and supports OpenAI Whisper and Open-Source Translator. The tool provides a Studio tab for various functions, Whisper Caption tab for subtitle creation, Translate tab for translation, TTS tab for text-to-speech, Live Translation tab for real-time voice recognition, and Batch tab for processing multiple files. Users can download YouTube videos, improve voice recognition accuracy, create automatic subtitles, and produce multilingual videos with ease. The tool is easy to install with one-click and offers a Web-UI for user convenience.

The TensorRT-LLM Backend is a Triton backend designed to serve TensorRT-LLM models with Triton Inference Server. It supports features like inflight batching, paged attention, and more. Users can access the backend through pre-built Docker containers or build it using scripts provided in the repository. The backend can be used to create models for tasks like tokenizing, inferencing, de-tokenizing, ensemble modeling, and more. Users can interact with the backend using provided client scripts and query the server for metrics related to request handling, memory usage, KV cache blocks, and more. Testing for the backend can be done following the instructions in the 'ci/README.md' file.

MLX LM is a Python package designed for generating text and fine-tuning large language models on Apple silicon using MLX. It offers integration with the Hugging Face Hub for easy access to thousands of LLMs, support for quantizing and uploading models to the Hub, low-rank and full model fine-tuning capabilities, and distributed inference and fine-tuning with `mx.distributed`. Users can interact with the package through command line options or the Python API, enabling tasks such as text generation, chatting with language models, model conversion, streaming generation, and sampling. MLX LM supports various Hugging Face models and provides tools for efficient scaling to long prompts and generations, including a rotating key-value cache and prompt caching. It requires macOS 15.0 or higher for optimal performance.

HuatuoGPT2 is an innovative domain-adapted medical large language model that excels in medical knowledge and dialogue proficiency. It showcases state-of-the-art performance in various medical benchmarks, surpassing GPT-4 in expert evaluations and fresh medical licensing exams. The open-source release includes HuatuoGPT2 models in 7B, 13B, and 34B versions, training code for one-stage adaptation, partial pre-training and fine-tuning instructions, and evaluation methods for medical response capabilities and professional pharmacist exams. The tool aims to enhance LLM capabilities in the Chinese medical field through open-source principles.

LLMInterviewQuestions is a repository containing over 100+ interview questions for Large Language Models (LLM) used by top companies like Google, NVIDIA, Meta, Microsoft, and Fortune 500 companies. The questions cover various topics related to LLMs, including prompt engineering, retrieval augmented generation, chunking, embedding models, internal working of vector databases, advanced search algorithms, language models internal working, supervised fine-tuning of LLM, preference alignment, evaluation of LLM system, hallucination control techniques, deployment of LLM, agent-based system, prompt hacking, and miscellaneous topics. The questions are organized into 15 categories to facilitate learning and preparation.

A collection of papers related to knowledge distillation of large language models (LLMs). The repository focuses on techniques to transfer advanced capabilities from proprietary LLMs to smaller models, compress open-source LLMs, and refine their performance. It covers various aspects of knowledge distillation, including algorithms, skill distillation, verticalization distillation in fields like law, medical & healthcare, finance, science, and miscellaneous domains. The repository provides a comprehensive overview of the research in the area of knowledge distillation of LLMs.

Expert on AI Model NFT Marketplace, offering insights on blockchain tech and NFTs.

Super Prompter is an AI model designed to create high-quality prompts for chatbots. It thinks like a human in crafting prompts, leveraging various methods like the role method, knowledge level method, and emotion method. This AI model has the capability to generate prompts for any given scenario

Java & Python programming assistant for AI model inference.

DignityAI: The Ethical Intelligence GPT is an advanced AI model designed to prioritize human life and dignity, providing ethically-guided, intelligent responses for complex decision-making scenarios.

我是专门为神经科学领域设计的，可以帮助你在这一领域内进行高水平的研究和写作

AI language model specializing in orchestrating human-AI interactions

Rate AI-created model portraits on a 1-10 scale.

An AI GPT model designed to assist with Shell/Bash programming, providing real-time code suggestions, debugging tips, and script optimization for efficient command-line operations.

Try the new AI chat model: GPT 4o ("Omni") Assistant. It's faster and better than regular GPT. Plus it will incorporate speech-to-text, intelligence, and speech-to-text capabilities with extra low latency.

专门优化和翻译不同LLM的提示词的专家，基于用户选择和LLM特性。

Simulate real dialogues, no political correctness, less railguards...

A software architect for C4 Model generation.

The IlluminatiAI model represents a novel approach in the field of artificial intelligence, incorporating elements of secret societies, ancient knowledge, and hidden wisdom into its algorithms.

Most powerful model. Stronger than ChatGPT4, 5, even 6, this version is boosted on steroids, GPT-Grok version with 32K context, more powerful than Elon Musk's AI

I refine AI art prompts for Stable Diffusion model.

Object Messaging and Intelligent Object Model for Deep AI integration with software

Model Vibe Picture Creator: Unleash Your Imagination! 🎨📸 Generates detailed, cool prompts for stylized images, perfect for AI tools like DALL-E 3. 🔥👾

HackingPT is a specialized language model focused on cybersecurity and penetration testing, committed to providing precise and in-depth insights in these fields.

A custom GPT model designed to assist in developing personalized software design solutions.

Make Black Female headshot from description or convert photos into headshots. Your online headshot generator.