Open-Source — Free AI Tools

LLMs, image/audio models, ML frameworks, fine-tuning.

• Llama 3.x — Best all-around open LLM — 8B to 405B
• DeepSeek-V3 / R1 — Rivals GPT-4; R1 = chain-of-thought reasoning
• Qwen 2.5 / Qwen 3 — Apache 2.0; 29+ languages; 235B MoE
• Phi-3 / Phi-4 — Best small models — consumer hardware
• Mistral / Mixtral — Best compact MoE — Apache 2.0
• FLUX.1/2 — State-of-art image gen — 92% text accuracy
• Whisper — Best open ASR — 99+ languages
• Kokoro TTS — 82M param TTS — high quality, minimal HW
• PyTorch — Dominant DL framework — ~87K stars
• HF Transformers — Unified API for 1M+ models — 152K stars
• LangChain — LLM orchestration — 700+ integrations
• LlamaIndex — RAG data framework — 300+ packages
• Unsloth — 2–5× faster, 80% less VRAM fine-tuning
• LLaMA-Factory — Zero-code fine-tuning Web UI — 40K+ stars
• OpenViktor — An open-source AI model implementation for various applications.
• Entropic — An open-source AI model now available as part of the OpenClaw workspace.
• Gemma 3 — Google's open models — multimodal, 1B to 27B, runs on a single H100
• Command R+ — Cohere's open-weight model — 104B, best for RAG and tool use
• Kimi K2 — Moonshot's 1T-parameter MoE — open-weight, agentic, coding-optimized