Best AI tools for< Load Gguf Files >
18 - AI tool Sites
Milo
Milo is an AI-powered co-pilot for parents, designed to help them manage the chaos of family life. It uses GPT-4, the latest in large-language models, to sort and organize information, send reminders, and provide updates. Milo is designed to be accurate and solve complex problems, and it learns and gets better based on user feedback. It can be used to manage tasks such as adding items to a grocery list, getting updates on the week's schedule, and sending screenshots of birthday invitations.
Vendorful
Vendorful is an AI-powered tool designed to assist users in responding to Requests for Proposals (RFPs), Requests for Information (RFIs), and Security Questionnaires. The tool leverages artificial intelligence to generate draft responses with better-than-human accuracy based on the user's content. Vendorful aims to streamline the RFP response process, save time, and increase the chances of winning deals by providing contextual smarts and flexible answers.
WebPilot
WebPilot is an AI tool designed to enhance your GPTs by enabling them to perform various tasks such as opening URL/file links, using multiple search engines, accessing all types of websites, loading dynamic web content, and providing enhanced answers. It offers a super easy way to interact with webpages, assisting in tasks like responding to emails, writing in forms, and solving quizzes. WebPilot is free, open-source, and has been featured by Google Extension Store as an established publisher.
VoiceGPT
VoiceGPT is an Android app that provides a voice-based interface to interact with AI language models like ChatGPT, Bing AI, and Bard. It offers features such as unlimited free messages, voice input and output in 67+ languages, a floating bubble for easy switching between apps, OCR text recognition, code execution, image generation with DALL-E 2, and support for ChatGPT Plus accounts. VoiceGPT is designed to be accessible for users with visual impairments, dyslexia, or other conditions, and it can be set as the default assistant to be activated hands-free with a custom hotword.
Parade
Parade is a capacity management platform designed for freight brokerages and 3PLs to streamline operations, automate bookings, and improve margins. The platform leverages advanced AI to optimize pricing, bidding, and carrier management, helping users book more loads efficiently. Parade integrates seamlessly with existing tech stacks, offering precise pricing, optimized bidding, and enhanced shipper connectivity. The platform boasts a range of features and benefits aimed at increasing efficiency, reducing costs, and boosting margins for freight businesses.
SwapFans
The website offers an AI-powered tool called SwapFans that allows users to load balance and receive discounts. Users can easily FaceSwap any social media videos and swap entire Instagram and TikTok accounts with high-speed FaceSwap AI. The tool is designed to help users manage their social media presence effectively and efficiently.
PixieBrix
PixieBrix is an AI engagement platform that allows users to build, deploy, and manage internal AI tools to drive team productivity. It unifies AI landscapes with oversight and governance for enterprise scale. The platform is enterprise-ready and fully customizable to meet unique needs, and can be deployed on any site, making it easy to integrate into existing systems. PixieBrix leverages the power of AI and automation to harness the latest technology to streamline workflows and take productivity to new heights.
TLDRai
TLDRai.com is an AI tool designed to help users summarize any text into concise and easy-to-digest content, enabling them to free themselves from information overload. The tool utilizes AI technology to provide efficient text summarization services, making it a valuable resource for individuals seeking quick and accurate summaries of lengthy texts.
promptsplitter.com
The website promptsplitter.com is experiencing an Argo Tunnel error on the Cloudflare network. Users encountering this error are advised to wait a few minutes if they are visitors, or ensure that cloudflared is running and can reach the network if they are the website owners. The error message provides guidance on troubleshooting steps to resolve the issue.
Merlin AI
Merlin AI is a YouTube transcript tool that allows users to create summaries of YouTube videos. It is easy to use and can be added to Chrome as an extension. Merlin AI is powered by an undocumented API and features the latest build.
Daxtra
Daxtra is an AI-powered recruitment technology tool designed to help staffing and recruiting professionals find, parse, match, and engage the best candidates quickly and efficiently. The tool offers a suite of products that seamlessly integrate with existing ATS or CRM systems, automating various recruitment processes such as candidate data loading, CV/resume formatting, information extraction, and job matching. Daxtra's solutions cater to corporates, vendors, job boards, and social media partners, providing a comprehensive set of developer components to enhance recruitment workflows.
Lex Fridman
Lex Fridman is an AI tool developed by Lex Fridman, a Research Scientist at MIT, focusing on human-robot interaction and machine learning. The tool offers various resources such as podcasts, research publications, and studies related to AI-assisted driving data collection, autonomous vehicle systems, gaze estimation, and cognitive load estimation. It aims to provide insights into the safe and enjoyable interaction between humans and AI in driving scenarios.
Kolank
Kolank is an AI tool that provides a unified API for accessing a wide range of Language Model Models (LLMs) and providers. It offers features such as model comparison based on price, latency, output, context, and throughput, OpenAI compatible API integration, transparency in tracking API calls and token expenditure, cost reduction by paying for performance, load balancing with fallbacks, and easy integration with preferred LLMs using Python, Javascript, and Curl.
LiteLLM
LiteLLM is an AI tool that offers a Unified API for Azure OpenAI Vertex AI Bedrock. It provides a proxy server for managing authentication, load balancing, and spend tracking across a wide range of LLMs. LiteLLM is designed to simplify the integration and management of various AI services in the OpenAI format. With features like cloud deployment, open-source availability, and extensive provider integrations, LiteLLM aims to streamline AI development workflows and enhance operational efficiency.
Avaturn
Avaturn is a realistic 3D avatar creator that uses generative AI to turn a 2D photo into a recognizable and realistic 3D avatar. With endless options for avatar customization, you can create a unique look for each and everyone. Export your avatar as a 3D model and load it in Blender, Unity, Unreal Engine, Maya, Cinema4D, or any other 3D environment. The avatars come with a standard humanoid body rig, ARKit blendshapes, and visemes. They are compatible with Mixamo animations and VTubing software.
Epicflow
Epicflow is an AI-based multi-project and resource management software designed to help organizations deliver more projects on time with available resources, increase profitability, and make informed project decisions using real-time data and predictive analytics. The software bridges demand and supply by matching talent based on competencies, experience, and availability. It offers features like AI assistant, What-If Analysis, Future Load Graph, Historical Load Graph, Task List, and Competence Management Pipeline. Epicflow is trusted by leading companies in various industries for high performance and flawless project delivery.
Ermine.ai
Ermine.ai is an AI tool that provides local audio recording and transcription services. Users can easily transcribe audio files into text using this tool. The application currently supports Chrome browser and is working on adding support for Firefox. It requires the browser to load and initialize the transcription model, which may take a few minutes during the first use. The tool is designed to offer fast transcription services with support for English language only.
Knowbo
Knowbo is a custom chatbot tool that allows users to create a chatbot for their website in just 2 minutes. The chatbot learns directly from the website or documentation, providing up-to-date information to users. With features like easy deployment, chat history tracking, and customization options, Knowbo aims to revolutionize customer experience by reducing the load on support teams and offering a seamless way for users to get their questions answered quickly.
20 - Open Source AI Tools
langserve_ollama
LangServe Ollama is a tool that allows users to fine-tune Korean language models for local hosting, including RAG. Users can load HuggingFace gguf files, create model chains, and monitor GPU usage. The tool provides a seamless workflow for customizing and deploying language models in a local environment.
ktransformers
KTransformers is a flexible Python-centric framework designed to enhance the user's experience with advanced kernel optimizations and placement/parallelism strategies for Transformers. It provides a Transformers-compatible interface, RESTful APIs compliant with OpenAI and Ollama, and a simplified ChatGPT-like web UI. The framework aims to serve as a platform for experimenting with innovative LLM inference optimizations, focusing on local deployments constrained by limited resources and supporting heterogeneous computing opportunities like GPU/CPU offloading of quantized models.
llama3.java
Llama3.java is a practical Llama 3 inference tool implemented in a single Java file. It serves as the successor of llama2.java and is designed for testing and tuning compiler optimizations and features on the JVM, especially for the Graal compiler. The tool features a GGUF format parser, Llama 3 tokenizer, Grouped-Query Attention inference, support for Q8_0 and Q4_0 quantizations, fast matrix-vector multiplication routines using Java's Vector API, and a simple CLI with 'chat' and 'instruct' modes. Users can download quantized .gguf files from huggingface.co for model usage and can also manually quantize to pure 'Q4_0'. The tool requires Java 21+ and supports running from source or building a JAR file for execution. Performance benchmarks show varying tokens/s rates for different models and implementations on different hardware setups.
BodhiApp
Bodhi App runs Open Source Large Language Models locally, exposing LLM inference capabilities as OpenAI API compatible REST APIs. It leverages llama.cpp for GGUF format models and huggingface.co ecosystem for model downloads. Users can run fine-tuned models for chat completions, create custom aliases, and convert Huggingface models to GGUF format. The CLI offers commands for environment configuration, model management, pulling files, serving API, and more.
ComfyUI_VLM_nodes
ComfyUI_VLM_nodes is a repository containing various nodes for utilizing Vision Language Models (VLMs) and Language Models (LLMs). The repository provides nodes for tasks such as structured output generation, image to music conversion, LLM prompt generation, automatic prompt generation, and more. Users can integrate different models like InternLM-XComposer2-VL, UForm-Gen2, Kosmos-2, moondream1, moondream2, JoyTag, and Chat Musician. The nodes support features like extracting keywords, generating prompts, suggesting prompts, and obtaining structured outputs. The repository includes examples and instructions for using the nodes effectively.
PhoGPT
PhoGPT is an open-source 4B-parameter generative model series for Vietnamese, including the base pre-trained monolingual model PhoGPT-4B and its chat variant, PhoGPT-4B-Chat. PhoGPT-4B is pre-trained from scratch on a Vietnamese corpus of 102B tokens, with an 8192 context length and a vocabulary of 20K token types. PhoGPT-4B-Chat is fine-tuned on instructional prompts and conversations, demonstrating superior performance. Users can run the model with inference engines like vLLM and Text Generation Inference, and fine-tune it using llm-foundry. However, PhoGPT has limitations in reasoning, coding, and mathematics tasks, and may generate harmful or biased responses.
godot-llm
Godot LLM is a plugin that enables the utilization of large language models (LLM) for generating content in games. It provides functionality for text generation, text embedding, multimodal text generation, and vector database management within the Godot game engine. The plugin supports features like Retrieval Augmented Generation (RAG) and integrates llama.cpp-based functionalities for text generation, embedding, and multimodal capabilities. It offers support for various platforms and allows users to experiment with LLM models in their game development projects.
LLMUnity
LLM for Unity enables seamless integration of Large Language Models (LLMs) within the Unity engine, allowing users to create intelligent characters for immersive player interactions. The tool supports major LLM models, runs locally without internet access, offers fast inference on CPU and GPU, and is easy to set up with a single line of code. It is free for both personal and commercial use, tested on Unity 2021 LTS, 2022 LTS, and 2023. Users can build multiple AI characters efficiently, use remote servers for processing, and customize model settings for text generation.
Dot
Dot is a standalone, open-source application designed for seamless interaction with documents and files using local LLMs and Retrieval Augmented Generation (RAG). It is inspired by solutions like Nvidia's Chat with RTX, providing a user-friendly interface for those without a programming background. Pre-packaged with Mistral 7B, Dot ensures accessibility and simplicity right out of the box. Dot allows you to load multiple documents into an LLM and interact with them in a fully local environment. Supported document types include PDF, DOCX, PPTX, XLSX, and Markdown. Users can also engage with Big Dot for inquiries not directly related to their documents, similar to interacting with ChatGPT. Built with Electron JS, Dot encapsulates a comprehensive Python environment that includes all necessary libraries. The application leverages libraries such as FAISS for creating local vector stores, Langchain, llama.cpp & Huggingface for setting up conversation chains, and additional tools for document management and interaction.
LLMFarm
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.
ChatterUI
ChatterUI is a mobile app that allows users to manage chat files and character cards, and to interact with Large Language Models (LLMs). It supports multiple backends, including local, koboldcpp, text-generation-webui, Generic Text Completions, AI Horde, Mancer, Open Router, and OpenAI. ChatterUI provides a mobile-friendly interface for interacting with LLMs, making it easy to use them for a variety of tasks, such as generating text, translating languages, writing code, and answering questions.
Local-File-Organizer
The Local File Organizer is an AI-powered tool designed to help users organize their digital files efficiently and securely on their local device. By leveraging advanced AI models for text and visual content analysis, the tool automatically scans and categorizes files, generates relevant descriptions and filenames, and organizes them into a new directory structure. All AI processing occurs locally using the Nexa SDK, ensuring privacy and security. With support for multiple file types and customizable prompts, this tool aims to simplify file management and bring order to users' digital lives.
llama_ros
This repository provides a set of ROS 2 packages to integrate llama.cpp into ROS 2. By using the llama_ros packages, you can easily incorporate the powerful optimization capabilities of llama.cpp into your ROS 2 projects by running GGUF-based LLMs and VLMs.
wllama
Wllama is a WebAssembly binding for llama.cpp, a high-performance and lightweight language model library. It enables you to run inference directly on the browser without the need for a backend or GPU. Wllama provides both high-level and low-level APIs, allowing you to perform various tasks such as completions, embeddings, tokenization, and more. It also supports model splitting, enabling you to load large models in parallel for faster download. With its Typescript support and pre-built npm package, Wllama is easy to integrate into your React Typescript projects.
llamafile
llamafile is a tool that enables users to distribute and run Large Language Models (LLMs) with a single file. It combines llama.cpp with Cosmopolitan Libc to create a framework that simplifies the complexity of LLMs into a single-file executable called a 'llamafile'. Users can run these executable files locally on most computers without the need for installation, making open LLMs more accessible to developers and end users. llamafile also provides example llamafiles for various LLM models, allowing users to try out different LLMs locally. The tool supports multiple CPU microarchitectures, CPU architectures, and operating systems, making it versatile and easy to use.
LlamaEdge
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.
gptel
GPTel is a simple Large Language Model chat client for Emacs, with support for multiple models and backends. It's async and fast, streams responses, and interacts with LLMs from anywhere in Emacs. LLM responses are in Markdown or Org markup. Supports conversations and multiple independent sessions. Chats can be saved as regular Markdown/Org/Text files and resumed later. You can go back and edit your previous prompts or LLM responses when continuing a conversation. These will be fed back to the model. Don't like gptel's workflow? Use it to create your own for any supported model/backend with a simple API.
keras-llm-robot
The Keras-llm-robot Web UI project is an open-source tool designed for offline deployment and testing of various open-source models from the Hugging Face website. It allows users to combine multiple models through configuration to achieve functionalities like multimodal, RAG, Agent, and more. The project consists of three main interfaces: chat interface for language models, configuration interface for loading models, and tools & agent interface for auxiliary models. Users can interact with the language model through text, voice, and image inputs, and the tool supports features like model loading, quantization, fine-tuning, role-playing, code interpretation, speech recognition, image recognition, network search engine, and function calling.
LLaMa2lang
This repository contains convenience scripts to finetune LLaMa3-8B (or any other foundation model) for chat towards any language (that isn't English). The rationale behind this is that LLaMa3 is trained on primarily English data and while it works to some extent for other languages, its performance is poor compared to English.