A curated list of free AI models, APIs, and tools you can use without paying a cent.
β All links verified live on June 11, 2026. 6 broken links found and fixed during this check.
Running AI shouldn't require a credit card. This list curates genuinely free models β open-weight models you can self-host, free API tiers from major providers, and tools to run everything locally.
- π§ Open-Weight Models
- π Free API Providers
- π» Local Inference Tools
- π¬ AI Chatbot UIs
- π€ AI Coding Assistants
- π Code Models
- π RAG & Vector Databases
- 𧩠Agentic Frameworks
- π Fine-tuning Tools
- β¨ Prompt Engineering Tools
- π Datasets
- β Model Hosting Platforms
- π Learning Resources
- π Resources & Leaderboards
- π₯ Communities
π Last checked: June 11, 2026
Notable open-weight models you can download and run on your own hardware.
| Name | Description |
|---|---|
| Llama 4 Scout / Maverick | Meta's latest MoE generation. Scout: 109B, 10M context. Maverick: 402B, 1M context. Native multimodal. [License] |
| DeepSeek V4 | Latest generation with extreme cost-efficiency. MIT license. |
| DeepSeek-V4-Flash | Apr 2026. Efficiency-focused variant of DeepSeek V4. 1M token context, optimized for fast inference. MIT license. |
| Gemma 4 31B / 26B MoE / E4B / E2B | Fully permissive Apache 2.0. 256K context, native multimodal. New standard for open-weight. |
| GLM-5.1 (Zhipu AI) | 744B MoE model, competitive with top proprietary models. MIT license. |
| MiniMax M3 | Frontier-tier 1M context, native multimodal + computer use. MSA architecture. |
| Trinity (Arcee AI) | 400B parameter enterprise model. Apache 2.0. |
| Step 3.7 Flash (StepFun) | May 2026. Apache 2.0. Native multimodal (image+video), strong agentic performance. Efficient enough for high-end local hardware. |
| Kimi K2.6 (Moonshot AI) | Apr 2026. 1T-parameter MoE model. Modified MIT license. Exceptional coding (SWE-Bench ~54%) and multi-agent swarm orchestration. |
| Qwen 3.6-35B-A3B | Apr 2026. MoE variant with only 3B active parameters. Extremely efficient for consumer hardware. Apache 2.0. |
| InternLM 3 (Shanghai AI Lab) | Early 2026. Strong long-context reasoning and agentic performance. Competitive in open-weight benchmarks. |
| MiMo-V2.5-Pro (Xiaomi) | Apr 2026. 1.02T-parameter MoE (42B active). Optimized for complex agentic tasks, coding, and long-context. |
| Bonsai 8B (PrismML) | Apr 2026. Groundbreaking 1-bit quantized model. Extremely efficient for edge and consumer hardware (Apple Silicon). |
| Mistral Small 3.1 (Mistral) | Mar 2025. Versatile 24B multimodal model. Strong text performance with native image understanding and 128K context. Apache 2.0. |
| Mistral Small 4 (Mistral) | Mar 2026. Hybrid MoE (6.5B active params) unifying instruction, reasoning, and multimodal capabilities. Efficient frontier-class model. Apache 2.0. |
| Command A+ (Cohere) | May 2026. Enterprise multimodal MoE optimized for sovereignty and multilingual RAG across 48 languages. Apache 2.0. |
| Hermes 4 (NousResearch) | Feb 2026. Self-improving agentic model with closed-loop learning. Curates own memory and builds skills from experience. Apache 2.0. |
| Snowflake Arctic | Apr 2024. Enterprise MoE model balancing high-quality performance with efficient training costs. Optimized for complex data operations. Apache 2.0. |
| Falcon 3 (TII) | Dec 2024. Compact high-performance model with strong reasoning. Designed for efficient deployment on resource-constrained hardware. TII Falcon-LLM License 2.0. |
| Apple OpenELM | Apr 2024. Family of efficient on-device SLMs using layer-wise attention scaling. Runs locally on Apple Silicon with full privacy. Apple Sample Code License. |
π Last checked: June 11, 2026
Providers offering free tiers to access models via API β no local hardware required.
| Name | Description |
|---|---|
| Google AI Studio | Most generous free tier. Access Gemini 2.5 Flash, Gemini 2.0 Flash, and other models. Generous rate limits for prototyping. |
| OpenRouter | Aggregates 500+ models. Filter by "Free" to see models available at no cost. Includes experimental and subsidized open-weight models. |
| Groq | Ultra-fast inference. Free tier includes Llama, Gemma, Mixtral, Whisper models with generous daily rate limits. |
| Hugging Face Inference API | Free tier for thousands of community models. Rate-limited but excellent for testing. |
| NVIDIA NIM | Free API access to accelerated versions of Llama, Mistral, Gemma, and more on NVIDIA infrastructure. |
| DeepInfra | Serverless inference. Free tier with daily rate limits for popular open-source models. |
| Together AI | Free trial credits for new users. Fast inference on open-source models. |
| Fireworks AI | Free tier for community models. Optimized for low latency. |
| SiliconFlow | Rising platform with free access to many open-source models. |
| Cloudflare Workers AI | Free tier for running select open-source models at the edge. |
| Replicate | Free tier with limited credits for running open-source models. |
| Poe (Quora) | Free tier with daily credits for GPT-4 mini, Claude instant, and community bots. |
| CatGPT | Completely free chat with multiple models, no login required. |
| Qwen Chat (Alibaba) | Free access to Qwen 3.6-Plus, Qwen 3.6-Max, and other Qwen models via web chat and API. 1M token context for agentic coding. |
| Ollama Cloud | Free tier for running open-source models on Ollama's cloud infrastructure. Light usage included, 1 concurrent model. Same ollama run command as local. Zero data retention. |
| Mistral AI (La Plateforme) | Free API tier with access to Mistral Large, Mistral Nemo, Codestral and more. 1 req/s, 500k tokens/min. Requires phone verification and data usage opt-in. |
| Cohere | Free evaluation API key for Command R, Command R+, Embed, and Rerank models. 20 req/min, 1,000 req/month. |
| DeepSeek Platform | Free API credits for new users (5M tokens). Access to DeepSeek V4, DeepSeek-R1, and other models. Generous free allocation. |
| GitHub Models | Free tier for GitHub users. Access GPT-4o, Llama 3.3, Mistral, and more with rate-limited playground and API. |
| Hyperbolic | Open-access AI cloud with affordable inference. Free compute credits via referral program. Supports Llama, Qwen, DeepSeek, and other open models. |
| Novita AI | Free credits for testing 100+ models including Llama, Qwen, DeepSeek, and Mistral. OpenAI-compatible API with competitive pricing beyond the free tier. |
| Anakin.ai | 30 daily free credits for accessing multiple AI models. Web chat interface and API access. Supports GPT-4, Claude, and open-weight models. |
| Nebius AI | $100 free credits for new users. AI Studio with access to Llama, Qwen, DeepSeek, and other open-weight models. Fast inference on NVIDIA H100 infrastructure. |
| Fal.ai | Free starter credits for AI inference. Fast, serverless platform supporting Llama, Flux, and Stable Diffusion models. Pay-as-you-go beyond free tier. |
| Vercel AI Gateway | $5/month free credits for the AI Gateway. Proxy and cache requests across multiple LLM providers. SDK is open-source and free. |
| AI21 Labs | $10 trial credits for accessing Jamba 1.5, Jamba 1.6, and other AI21 models. Valid for 3 months. Requires account sign-up. |
| Amazon Bedrock | $200 AWS credits for new customers. Access to Llama, Mistral, Claude, Titan, and other foundation models via API. |
| Azure AI Foundry | $200 free trial credits (30 days). Access GPT-4o, Llama, Mistral, Phi, and other models via Azure's unified AI platform. |
| RunPod | Free credits for serverless GPU inference. Deploy open-weight models as serverless endpoints. Supports Llama, Qwen, DeepSeek, and more. |
| OpenCode | Go-based terminal AI coding assistant. Model-neutral, supports multiple LLM providers, LSP integration, and MCP tools. Free and open-source. GitHub |
π Last checked: June 11, 2026
Run models on your own machine β no API keys needed, full privacy.
| Name | Description |
|---|---|
| Ollama | The easiest way to run local LLMs. One command to download and run any model. macOS, Linux, Windows. GitHub |
| LM Studio | Polished desktop GUI. Browse, download, and chat with models. Built-in model browser and local API server. |
| llama.cpp | High-performance C++ inference engine. Runs on CPU and GPU. Supports GGUF quantization. Powers most other local tools. |
| Jan | Open-source ChatGPT alternative for desktop. Built-in model downloader, local API server. GitHub |
| GPT4All | Privacy-focused local chatbot. Runs on consumer hardware. Built-in model browser. GitHub |
| text-generation-webui (Oobabooga) | Feature-rich web UI. Supports multiple backends (Transformers, llama.cpp, ExLlama, AutoGPTQ). |
| LocalAI | Drop-in OpenAI API replacement. Run models locally with an OpenAI-compatible API. GitHub |
| KoboldCPP | Single-file executable for running GGUF models. Focused on story generation but general-purpose. |
| llamafile (Mozilla) | Distributable single-file executables that run LLMs. No installation needed. |
| vLLM | High-throughput production inference engine. Uses PagedAttention for efficient serving. |
| SGLang | Fast inference framework with structured generation and RadixAttention. |
| TensorRT-LLM (NVIDIA) | NVIDIA's optimized inference engine. Best performance on NVIDIA GPUs. |
| ExLlamaV2 | Optimized inference for Llama-family models. Fastest option for single-GPU inference. |
| Aphrodite Engine | High-performance LLM serving engine with advanced quantization support. |
| TabbyAPI | Lightweight, fast OpenAI-compatible API server for ExLlamaV2. |
| LlamaEdge | Lightweight inference framework for edge devices. OpenAI-compatible API for open-source models. Runs on WasmEdge for portability. GitHub |
| MLC LLM | Universal deployment engine by UW/SJTU. Runs LLMs on any hardware β laptops, phones, browsers. OpenAI-compatible API. |
| WebLLM | In-browser LLM inference via WebGPU. Runs models directly in your browser with zero setup. No server needed. |
| FastChat (LMSYS) | Open platform for training, serving, and evaluating LLMs. Provides OpenAI-compatible API and web UI for local models. |
| Hugging Face TGI | Production-grade serving toolkit for large language models. Optimized for high throughput on local hardware. |
| DeepSpeed (Microsoft) | Deep learning optimization library with inference acceleration. Enables running larger models on limited hardware through ZeRO optimization. |
| AirLLM | Run large models (70B+) on consumer hardware with limited memory. Loads models layer-by-layer for extreme memory efficiency. |
| AI Toolkit for VS Code (Microsoft) | VS Code extension to browse, test, fine-tune, and deploy models locally. Integrates ONNX and llama.cpp. |
| Ollama Grid Search | Desktop utility for systematic model evaluation. Test multiple models, prompts, and inference parameters side-by-side via a Rust/React GUI. |
π Last checked: June 11, 2026
Free, open-source web interfaces for chatting with AI models β self-host or use hosted versions.
| Name | Description |
|---|---|
| Open WebUI | Feature-rich ChatGPT-like interface for Ollama and OpenAI-compatible backends. RAG, image generation, multi-user. GitHub |
| LibreChat | Open-source ChatGPT clone supporting 40+ providers, multi-user, plugins, and RAG. GitHub |
| AnythingLLM | All-in-one desktop app for chatting with documents and models. Built-in RAG pipeline. GitHub |
| Big-AGI | Feature-rich AI chat with personas, multi-model support, voice, and code execution. GitHub |
| Lobe Chat | Modern, extensible chat framework with plugin system and multi-provider support. GitHub |
| Chatbot UI | Simple, clean ChatGPT interface. Easy to self-host with any OpenAI-compatible API. GitHub |
| NextChat (ChatGPT-Next-Web) | Lightweight cross-platform chat app. Self-host on Vercel or download official desktop/mobile clients. |
π Last checked: June 11, 2026
Free tools that integrate AI into your development workflow.
| Name | Description |
|---|---|
| Continue.dev | Open-source AI code assistant for VS Code and JetBrains. Chat, autocomplete, and edit with any model. GitHub |
| Aider | AI pair programming in the terminal. Edits code in your local git repo. Supports GPT, Claude, and local models. GitHub |
| Codeium (Windsurf) | Free AI code assistant with autocomplete, chat, and search. Individual plan is free forever. |
| Tabby | Self-hosted AI coding assistant with no dependency on external services. GitHub |
| Cody (Sourcegraph) | Free tier for individuals. Chat, autocomplete, and commands with codebase context. |
| Llama Coder (Nutlope) | Free AI code generation tool. Generate entire apps from prompts. |
| Bolt.new (StackBlitz) | Free tier for AI-powered full-stack web app development in browser. |
| Claude Code (Anthropic) | Free tier with limited usage for terminal-based AI coding assistant. |
| Cursor 3 | Apr 2026. AI-native code editor with deep model integration and agentic features. Free tier available. |
| OpenCode | Go-based terminal AI coding assistant. Model-neutral, supports multiple LLM providers, LSP integration, and MCP tools. GitHub |
| CodeBuff | CLI-based AI coding assistant that understands entire codebases. Multi-agent architecture, works with any model provider through natural language instructions. |
| Pi | Open-source terminal AI coding agent with a unified multi-provider API. Model-agnostic, supports OpenAI, Anthropic, Google, and any OpenAI-compatible endpoint. Extensible plugin architecture. GitHub |
| Cline | Popular autonomous VS Code agent. Creates/edits files, runs terminal commands, browses web. Open-source, BYOK (bring your own API key). GitHub |
| Roo Code | Community fork of Cline with faster feature releases. Open-source VS Code agent with deep model integration. |
| OpenHands | Autonomous AI software engineer. Navigates file systems, runs shell commands, tests code in browser. Self-hostable. GitHub |
| Twinny | Local-first AI coding extension for VS Code. Works entirely offline with local LLMs (Ollama, llama.cpp). Zero external dependencies. |
| Kodu (Claude Coder) | VS Code autonomous coding agent. Builds projects from scratch, handles complex tasks with natural language. |
| Goose | Open-source CLI agent for complex software engineering tasks. Extensible plugin system. Built by Block/Square. GitHub |
π Last checked: June 11, 2026
Specialized for code generation, completion, and analysis.
| Name | Description |
|---|---|
| MAI-Code-1-Flash (Microsoft) | Jun 2026. Microsoft's open-weight coding model for lowering infrastructure costs. |
| DeepSeek Coder | State-of-the-art open-weight code generation. DeepSeek's coder series leads SWE-bench. MIT license. |
| Qwen2.5-Coder (Alibaba) | Highly capable code model series (1.5Bβ32B). Excellent balance of speed and quality. Apache 2.0. |
| Codestral (Mistral) | Mistral's dedicated code generation model β fill-in-the-middle, completion, and instruction. GitHub |
| CodeGemma (Google) | Google's Gemma architecture fine-tuned for code completion and instruction. Apache 2.0. |
| StarCoder2 (BigCode) | Transparently trained code model covering 619 languages. OpenRAIL-M license. |
| Yi-Coder (01.AI) | Efficient coding model with strong long-context understanding. Yi License (Apache 2.0 compatible). |
| Granite Code (IBM) | IBM's enterprise-grade code model, available in multiple sizes. Apache 2.0. |
| Phi-4-mini (Microsoft) | Lightweight model optimized for reasoning and code. Punches above its weight class. MIT license. |
| Qwen3-Coder-Next (Alibaba) | Early 2026. Latest generation of Qwen's code series. Strong reasoning and long-context coding capabilities. Apache 2.0. |
| CodeLlama (Meta) | Aug 2023. Llama 2-based code generation pioneer. Supports infilling, completion, and instruction. Llama 2 Community License. |
| WizardCoder (WizardLM) | 2023. Evol-Instruct fine-tuned for complex coding tasks. Strong general code generation performance. Apache 2.0. |
| OpenCodeInterpreter | 2024. Integrates execution feedback to iteratively improve generated code. Bridges generation and execution. Apache 2.0. |
| Stable Code 3B (Stability AI) | Aug 2023. Lightweight 3B code model optimized for fill-in-the-middle. Efficient for local autocompletion. StabilityAI license. |
| CodeGeeX2 (THUDM) | 2023. Multilingual code model supporting 20+ languages. Strong in both Chinese and English code tasks. Apache 2.0. |
| CodeT5+ (Salesforce) | 2023. Encoder-decoder architecture unifying code generation, completion, and understanding. BSD-3 license. |
| SantaCoder (BigCode) | 2023. Light 1.1B model specialized for Python, Java, and JavaScript. Fast and efficient for IDE integration. |
π Last checked: June 11, 2026
Free tools for building retrieval-augmented generation pipelines β vector storage, embedding search, and document retrieval.
| Name | Description |
|---|---|
| Chroma | AI-native open-source embedding database. Runs in-process, no GPU needed. GitHub |
| Qdrant | High-performance vector search engine. Free tier on Qdrant Cloud or self-host via Docker. GitHub |
| pgvector | Vector similarity search inside PostgreSQL. Free if you already run Postgres. |
| LanceDB | Developer-friendly vector database built on Lance columnar format. Runs locally, no server needed. GitHub |
| Weaviate | Open-source vector database. Free sandbox tier on Weaviate Cloud. GitHub |
| Milvus (Zilliz) | Cloud-native vector database. Free tier on Zilliz Cloud or self-host. GitHub |
| txtai | AI-powered semantic search and RAG in a single Python package. GitHub |
| R2R (SciPhi) | Production-ready RAG engine with API, user management, and observability. |
| Docling (IBM) | Document understanding and conversion for RAG pipelines. Extracts PDFs, images, and more. GitHub |
| Unstructured.io | Preprocessing toolkit for documents (PDF, HTML, Word) for RAG pipelines. Free tier available. |
| RAGFlow | Open-source RAG engine with deep document parsing, OCR, and knowledge base management. Supportsε€η§ document formats. |
| RAGatouille | Python package bringing ColBERT-style late interaction retrieval to RAG pipelines. Works as retriever and reranker. Free and open-source. |
| Canopy (Pinecone) | Open-source RAG framework built on Pinecone. End-to-end retrieval and generation with built-in chat interface. |
| Ragas | Open-source evaluation framework for RAG pipelines. Measures retrieval accuracy, answer relevance, and faithfulness. |
π Last checked: June 11, 2026
Free, open-source frameworks for building AI agents and multi-agent systems.
| Name | Description |
|---|---|
| LangGraph (LangChain) | Low-level framework for building stateful, multi-agent applications. GitHub |
| CrewAI | Multi-agent framework for orchestrating specialized AI agents to work together. GitHub |
| AutoGen (Microsoft) | Extensible framework for building multi-agent conversations. GitHub |
| Agno (formerly Phidata) | Full-stack AI framework for building multimodal agents with memory, knowledge, and tools. GitHub |
| PydanticAI | Agent framework by Pydantic with type-safe outputs and dependency injection. GitHub |
| Mastra | TypeScript framework for building AI applications and agent workflows. GitHub |
| OpenAI Agents SDK | Lightweight SDK for building single and multi-agent systems. GitHub |
| Semantic Kernel (Microsoft) | SDK for orchestrating AI agents with planners, memory, and connectors. GitHub |
| Dify | LLM app development platform with visual workflow builder and agent capabilities. GitHub |
| Flowise | Low-code visual LLM flow builder with drag-and-drop interface. GitHub |
| TaskWeaver (Microsoft) | Code-first agent framework for planning and executing complex tasks. GitHub |
| Fazm | Apr 2026. Open-source local computer-use agent for macOS. Drives apps via accessibility APIs, model-agnostic, faster than screenshot-based agents. |
| Smolagents (Hugging Face) | Minimalist agent library where agents "think in code." Lightweight, zero boilerplate. Supports code agents and tool-calling agents. |
| Swarms | Enterprise-grade multi-agent orchestration framework. Scalable infrastructure for autonomous agent swarms. Highly modular. |
| Letta (MemGPT) | Framework for long-term agent memory. Virtual memory management that pages data in/out of context like an OS. Persistent agents. |
| Griptape | Enterprise agent framework with strictly typed Pipelines, Workflows, and Agents. Structure-first, production-ready. |
| OpenAI Swarm | Experimental lightweight multi-agent orchestration. Uses Agents and Handoffs abstractions. Educational and minimalist. |
| Atomic Agents | Framework inspired by Atomic Design. Compose agents from small, reusable, modular components. Testable and scalable. |
| PraisonAI | Low-code multi-agent framework. Define agent roles, tasks, and flows via YAML configuration. Wraps underlying agent frameworks. |
| Cognee | GraphRAG framework for agent knowledge management. Builds interconnected knowledge graphs from unstructured data. |
| AgentZero | Self-healing autonomous agent with web UI. Manages own workflows, tool use, and environment. Self-evolving capabilities. |
| MetaGPT | Multi-agent framework simulating a full software team. Assigns Agent, Product Manager, Engineer roles. Implements SOPs for end-to-end code generation. |
| ChatDev (OpenBMB) | Virtual software company driven by multi-agent collaboration. Follows waterfall model through design, coding, testing, and documentation. |
| AutoGPT | The original autonomous agent experiment. Sets its own goals, iterates on tasks, and executes without continuous human input. Web browsing and file management. |
| Bee Agent Framework (IBM) | Production-ready framework for building reliable AI agents in Python and TypeScript. Modular, with built-in observability and IBM research optimizations. |
| Eliza (ai16z) | Multi-platform agent framework for creating character-driven AI agents. Handles social media interaction, complex decision-making, and autonomous behavior across platforms. |
| SuperAGI | Developer-focused autonomous agent platform with GUI. Built-in resource management, file handling, and multi-tasking for running agents at scale. |
| AgentVerse (OpenBMB) | Framework for building and evaluating multi-agent environments. Easily configure agent teams and measure collaborative performance. |
| Qwen-Agent (Alibaba) | Agent framework tightly integrated with the Qwen model family. Optimized for function calling, code execution, RAG, and tool use with Qwen models. |
| AGiXT | Extensible modular AI agent automation platform. Plugin system for swapping LLMs, memory backends, and tools. Highly customizable agent workflows. |
π Last checked: June 11, 2026
Tools to fine-tune free models on your own data β all free and open-source.
| Name | Description |
|---|---|
| Unsloth | Fast memory-efficient fine-tuning. 2x faster, 50% less memory. Supports QLoRA, LoRA, full fine-tune. |
| Axolotl | Streamlined fine-tuning framework supporting multiple model architectures and quantization methods. |
| LLaMA-Factory | Easy-to-use fine-tuning with web UI. Supports 100+ models, multiple training methods. |
| Hugging Face TRL | Transformer Reinforcement Learning library. SFT, PPO, DPOTrainer, GRPOTrainer for aligning models. |
| TorchTune (Meta) | Native PyTorch library for fine-tuning LLMs. Simple, extensible, efficient. |
| AutoTrain (Hugging Face) | No-code fine-tuning platform. Train models with a web UI or API. |
| XTuner (InternLM) | Efficient fine-tuning toolkit supporting QLoRA, LoRA, and full fine-tune with multiple model architectures. |
| Ludwig (Predibase) | Declarative ML framework. Fine-tune models with a simple config file. GitHub |
| PyTorch Lightning | Free deep learning framework for training and fine-tuning. Simplifies distributed training, checkpointing, and logging. GitHub |
| Hugging Face Accelerate | Zero-config distributed training for PyTorch. Enables easy multi-GPU and TPU training with minimal code changes. |
| ColossalAI | Open-source distributed training system with parallelism strategies. Supports large model training on limited hardware. |
| JAX (Google) | High-performance ML framework with automatic differentiation and JIT compilation. Powers many modern training pipelines. |
| Ray Train | Distributed training framework built on Ray. Supports PyTorch, TensorFlow, and JAX with automatic scaling. |
| Determined AI | Open-source ML training platform with hyperparameter search, GPU scheduling, and experiment tracking. |
π Last checked: June 11, 2026
Free tools for testing, managing, and optimizing prompts.
| Name | Description |
|---|---|
| Promptfoo | Open-source tool for prompt testing and evaluation. Systematic A/B testing of prompts. GitHub |
| Fabric (Daniel Miessler) | Open-source framework for augmenting humans with AI. Library of curated prompts (patterns) for common tasks. |
| LangFuse | Open-source LLM engineering platform with prompt management, versioning, and evaluation. GitHub |
| OpenPrompt (THUNLP) | Framework for prompt-learning research. Supports template and verbalizer design. GitHub |
| DSPy (Stanford) | Framework for algorithmically optimizing LM prompts and weights. GitHub |
| Agenta | Open-source LLM platform for prompt management, evaluation, and deployment. GitHub |
| ChainForge | Open-source visual programming environment for prompt engineering. Test prompts across multiple LLMs, compare responses, and evaluate robustness. GitHub |
| Latitude | Open-source prompt engineering platform with versioning, playground, evaluation, and deployment as API endpoints. GitHub |
| DeepEval | Open-source evaluation framework for LLM outputs. 50+ metrics, pytest integration, and CI/CD support for prompt regression testing. |
| PromptLayer | Prompt versioning and monitoring platform. Tracks prompt versions, cost, latency, and model behavior. Free tier with 10K calls/month. |
| OpenPromptHub | Community-driven prompt engineering platform. Discover, share, and contribute prompt patterns. Free and open-source. |
π Last checked: June 11, 2026
Free, open datasets for training, fine-tuning, and evaluating models.
| Name | Description |
|---|---|
| Hugging Face Datasets | The standard hub for open datasets. 150,000+ datasets across all tasks. |
| Common Corpus | Massive open-source dataset for training large language models. |
| The Stack v2 (BigCode) | Large-scale code dataset covering 619 programming languages. Permissive license. |
| FineWeb (Hugging Face) | High-quality web dataset for LLM pre-training. 15T tokens. |
| Dolly (Databricks) | 15k instruction-response pairs for fine-tuning. CC-BY-SA. |
| OpenAssistant Conversations | 160k human-generated assistant conversations. Apache 2.0. |
| ShareGPT (RyokoAI) | Real user-ChatGPT conversations for fine-tuning. |
| UltraChat (Sean C.) | 200k multi-turn conversations synthesized by ChatGPT. |
| No Robots (Hugging Face) | 10k high-quality human-written instructions. Apache 2.0. |
| RLAIF-V (OpenBMB) | AI-generated preference data for RLHF. Apache 2.0. |
| MMLU / GSM8K | Standard benchmarks for evaluation. |
π Last checked: June 11, 2026
Free platforms that host models β run inference without downloading anything.
| Name | Description |
|---|---|
| Hugging Face Spaces | Free hosting for ML apps (Gradio, Streamlit). Thousands of community demos. |
| Hugging Face Inference Endpoints (Free Tier) | Deploy models with free trial credits. |
| Google Colab (Free Tier) | Free GPU (T4, sometimes A100). Perfect for running models and fine-tuning. |
| Kaggle Notebooks | Free GPU (T4 x2). 30 hours/week. Good for heavier workloads. |
| Lightning AI Studio | Free tier with GPU access for development and prototyping. |
| Modal | Free monthly credits for serverless GPU compute. |
| Replicate (Free Tier) | Free credits for running community models. |
| Deepnote | Free tier with GPU for data science and ML notebooks. |
| Beam | $30/mo free credits for serverless GPU compute. Fast cold starts (<1s), auto-scaling, Python SDK. Open-source runtime. |
| Cerebrium | $30 free trial credits for serverless GPU infrastructure. Sub-second cold starts, pay-per-second billing, auto-scaling. SOC 2 compliant. |
| Baseten | Free trial credits for serverless GPU inference. Truss open-source framework, auto-scaling, multiple GPU options (T4 to H100). |
π Last checked: June 11, 2026
Free courses, books, and tutorials for learning AI and LLMs.
| Name | Description |
|---|---|
| Fast.ai | Code-first deep learning education. Practical, free courses from fundamentals to advanced. |
| Hugging Face NLP Course | Comprehensive free course on transformers, tokenizers, datasets, and deployment. |
| DeepLearning.AI Short Courses | Free short courses on LLMs, RAG, LangChain, and AI agents. |
| Full Stack Deep Learning | Free course on ML engineering: training, deploying, and maintaining models. |
| Andrej Karpathy's Course | From-scratch neural network implementation videos. |
| Neural Networks: Zero to Hero | YouTube series building neural networks from scratch. |
| LLM University (Cohere) | Free course on LLMs, embeddings, and RAG. |
| Prompt Engineering Guide (DAIR.AI) | Comprehensive free guide on prompt engineering techniques. |
| Anthropic Cookbook | Free recipes and patterns for working with Claude. |
| OpenAI Cookbook | Free examples and guides for the OpenAI API. |
π Last checked: June 11, 2026
| Name | Description |
|---|---|
| Perplexity | Free AI search and research assistant with real-time answers and source citations. |
| Hugging Face Open LLM Leaderboard | The primary benchmark for open-weight models. Updated regularly. |
| LMSYS Chatbot Arena | Human preference rankings of models. Best source for real-world quality comparisons. |
| Artificial Analysis | Independent benchmarks for speed, pricing, and quality across providers. |
| Hugging Face Models | Search 1M+ models. Filter by license, task, framework. |
| OpenRouter Models | Browse models available via API with pricing and free tiers. |
| Ollama Library | Browse models available for one-command local setup. |
| cheahjs/free-llm-api-resources | Community-maintained list of free LLM API resources. |
| SweetTea | Community voting on model quality and preference. |
π Last checked: June 11, 2026
| Name | Description |
|---|---|
| Hugging Face Discord | Model releases, discussions, and community support. |
| r/LocalLLaMA | The largest Reddit community for running local LLMs. |
| Ollama Discord | Ollama community for local model enthusiasts. |
| LM Studio Discord | LM Studio community. |
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| r/MachineLearning | General ML/AI research and news. |
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| r/OpenAI | Official Reddit community for OpenAI models, API discussions, and releases. |
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| Nous Research Discord | Community for open-source AI development, Hermes models, and decentralized training (DisTrO). |
| Learn AI Together Discord | Active learning community with 10K+ members. Ask questions, find teammates, and share projects. |
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