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A collaboration platform where the machine learning community shares models, datasets and applications. It hosts public models, datasets and Spaces, and offers an open source stack including libraries such as Transformers, Datasets and Accelerate. It also provides paid Compute and Enterprise solutions, with an Inference Providers API giving access to models from multiple AI providers.
Models.dev is an open-source database that lists AI model specifications, pricing and features. It covers models from multiple providers with details such as context length, modalities and open or closed availability.
The Hundred-Page Language Models Book by Andriy Burkov is a concise hands-on guide covering machine learning basics through advanced transformer architectures and large language models. It explains AI fundamentals, text representation, count-based models, recurrent neural networks, and transformers, with mathematical foundations and Python code examples. The book targets ML practitioners and engineers building text-based applications.
Wiki LLM List is a Wikipedia article that catalogs large language models, organized chronologically by release year from 2018 to 2026. The entry includes a structured list of these AI models, supporting references, and links to related content.
An NBER working paper presenting an approach for automatically generating and testing social scientific hypotheses in silico, using large language models with structural causal models. The approach is demonstrated in a negotiation, a bail hearing, a job interview, and an auction.
Awesome Turkish Language Models is a Hugging Face Space that hosts a curated list of Turkish AI models, datasets, and papers. It also functions as an application that fetches Markdown content from user-provided URLs and converts it to formatted HTML for reading.
Explore Clinical & Biomedical Language Models provides machine-learning models, research, training resources, or evaluation tools.
LifeArchitect.ai hosts a Models Table of large language model data, including parameters, tokens trained, and benchmark scores such as MMLU, MMLU-Pro, GPQA and HLE. The page also presents rankings, a data dictionary and visualization snapshots of frontier models.
LLM Explorer is a directory of open-source language models and AI agents. It lists 150 AI agents and 64,811 open-source large and small language models, grouped into categories with benchmarks and analytics.
LM Council presents source-dated benchmark snapshots for AI models. It covers GPT, Claude, Gemini and other frontier models across benchmarks including Humanity's Last Exam, FrontierMath, GPQA and SWE-bench, with a comparison tool selecting two models. Each snapshot links its source and checked date, and evaluation settings and metrics vary.
NVIDIA NIM is a catalog of models offered as inference microservices for deployment on the user's GPU infrastructure. The listings include downloadable models and free or partner endpoints, organized by use cases such as image generation, speech-to-text and drug discovery.
PricePerToken is a free comparison site for LLM API pricing. It presents per-token costs for models from providers including OpenAI, Anthropic, Google and Mistral, alongside model listings with context windows and benchmark figures. Pages cover individual models such as Amazon Nova Lite 1.0 and Nova Micro 1.0, whose pricing and context windows are stated.
The listing qwen3.6-max-preview points to Alibaba Cloud Model Studio's supported models overview page. The page states that Alibaba Cloud Model Studio offers Qwen and third-party models for text, image, audio, and video use cases, with model categories including text generation, image and video generation, audio and speech processing, and world models, along with specific example models for each category.
RankedAGI is a website that compares benchmarks across different AI models. It features benchmarks such as SWE Bench Verified, Codeforces, LMSYS and LiveBench, and presents a ranked table of models with size, version, release date, context length, cutoff knowledge, license and organization.
Apache SINGA is an Apache Top Level Project focused on distributed training of deep learning and machine learning models. It supports data parallel training across multiple GPUs on a single node or across different nodes, automatic gradient calculation, and loading and saving ONNX format models. Models trained with SINGA can be queried as stored procedures in an RDBMS.
The Dark Risk of Large Language Models WIRED UK provides machine-learning models, research, training resources, or evaluation tools.
The FLUX.1 family of models on Replicate is a collection of Black Forest Labs' FLUX AI models for image generation and editing. Users can run the models with one line of code, fine-tune them with custom data, and edit images using Flux Fill, Depth, and Canny tools. The collection includes multiple FLUX model variants suited for different use cases.
Unsloth Studio is an open-source, no-code web UI for training, running and exporting open models in one local interface. It supports GGUF, MLX and diffusion image/video models on Mac, Windows and Linux, and runs AI models offline without a GPU. A graphical Data Recipes workflow creates synthetic datasets from uploaded files.
A site for browsing AI voice models for RVC. It lists 30,000+ voice models covering characters, singers and creators, allows previewing samples, and supports running compatible voices online with EasyAIVoice.
A web tool for choosing an AI model that fits a given GPU. Users select a GPU or enter VRAM, then check compatibility by VRAM, bandwidth, and context size. Minimum context window, tokens per second, and required features can be set, and optional system RAM enables offloading to extend context windows or run larger models at reduced speed.
ACE-Step 1.5 supports machine learning models, deployment, inspection, datasets, or AI development workflows.
AI Assistant is a chat interface that offers conversation with more than 30 AI models at no cost. The listed models include Ministral, Mixtral, Mistral, Pixtral, Codestral, Llama, DeepSeek, GLM, Qwen, GPT OSS, Phi, Kimi and Minimax variants. The page also refers to generating images.
AI-Flow is an open source, user-friendly UI application for creating workflows with different AI models. It lets users chain models from OpenAI, Replicate, Anthropic and others to automate content creation pipelines, and workflows can be shared as apps. Users may supply their own API keys or use platform credits.
Ai2 Playground provides machine-learning models, research, training resources, or evaluation tools.
