Open source generative AI

“Open source generative AI” refers to generative artificial intelligence models and tools whose source code, training methodologies, and sometimes even trained weights are publicly available , allowing anyone to use, modify, and redistribute them. These models can generate text, images, audio, code, and other types of content.


🔍 What is Generative AI?

Generative AI refers to AI systems capable of creating new data similar to their training data — for example:

  • Text generation (e.g., chatbots like ChatGPT)
  • Image generation (e.g., Stable Diffusion, DALL·E-like models)
  • Audio/music generation
  • Code generation
  • Video and 3D object generation

🧠 Popular Open Source Generative AI Models

📝 Text Generation (LLMs – Large Language Models)

ModelDescriptionLicense
Llama / Llama2 / Llama3 (Meta)Powerful open-weight LLMs (non-commercial or permissive license)Meta’s Llama License
Mistral / Mixtral (Mistral AI)High-performance small & large language modelsApache 2.0 (Mixtral), custom (Mistral)
Falcon (TII)High-quality causal language modelsApache 2.0
RedPajamaCommunity-driven LLaMA replicaApache 2.0
OpenChatFine-tuned open-source models based on LlamaVaries
StableLM (Stability AI)Family of open-source LLMsCreativeML Open RAIL-M
Phi (Microsoft)Small but powerful models for reasoning tasksMIT License

🖼️ Image Generation

ModelDescriptionLicense
Stable Diffusion (Stability AI)One of the most popular image generation modelsCreativeML Open RAIL-M
Diffusers (HuggingFace)Library for diffusion models including SD versionsApache 2.0
LAION DatasetMassive dataset used to train many open-source image modelsPublic domain (CC0)
Kandinsky (Russian Railways AI Lab)Russian-made diffusion modelOpen license

💻 Code Generation

ModelDescriptionLicense
StarCoder / StarCoder2 (BigCode)Code generation models trained on 150+ programming languagesOpen RAIL-M
CodeGen (Salesforce)Multilingual code generationApache 2.0
Santacoder / PolycoderSmaller code generation modelsMIT

🎵 Audio/Music Generation

ModelDescriptionLicense
Bark (Suno AI)Text-to-speech and audio generation (supports music too)MIT
MusicGen (Meta)Music generation from text or melodyMIT
AudioLDM / AudioLDM2Text-to-audio generation using diffusionApache 2.0

🛠 Tools & Frameworks for Open Source Generative AI

ToolUse CaseNotes
Hugging Face TransformersRun/train LLMs, diffusion models, etc.Python-based
Diffusers (by Hugging Face)For running diffusion modelsPyTorch, JAX support
LangChainChain prompts, connect models with external toolsIntegrates with many open models
Llama.cppRun LLMs in C/C++ format (GPU-free, CPU-friendly)Great for local deployment
OllamaEasy tool to run and manage LLMs locallySupports macOS/Linux
AutoGPT / BabyAGI / AgentGPTAuto agents using LLMsExperimental
Gradio / StreamlitBuild web interfaces for your modelsFast prototyping

🧬 Why Use Open Source Generative AI?

Transparency : You can inspect the code and model architecture
Customizability : Retrain or fine-tune on your own data
Privacy : Deploy locally without sending data to third parties
Cost-effective : No API costs or vendor lock-in
Community Support : Actively developed by global communities


🚨 Considerations

⚠️ Licenses : Some “open” models have restrictive licenses (e.g., Llama is not fully open for commercial usage). Always check the terms.
⚠️ Performance : Open models may underperform compared to proprietary ones like GPT-4 or Midjourney.
⚠️ Compliance : Ensure you’re meeting legal and ethical standards when deploying these models.


🧪 Example: Running an Open Source LLM Locally

Using ollama and llama3:

# Install Ollama

curl -fsSL https://ollama.com/install.sh | sh

# Pull a model

ollama pull llama3

# Run it

ollama run llama3

Output:

>>> Hello!

Hi! How can I assist you today?


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