Open-source SDK to fine-tune, orchestrate & deploy transformer/non-transformer LLMs in one place

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Introducing MultiMind SDK: Your All-in-One LLM Framework

Building LLM-powered applications today often feels fragmented.
LangChain, LlamaIndex, or Haystack?
GPT, Claude, Mistral, or even Mamba?
Online, offline, RAG, fine-tuning... it's messy.

✨ Meet MultiMind SDK

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A unified, model-agnostic SDK to orchestrate, fine-tune, and run any LLM — from OpenAI to RWKV — all with just one SDK.

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Core Features

• ✅ Unified Model Client: Load any model via config — GPT, Claude, Mistral, Mamba, RWKV, RNNs.
• RAG Pipelines: Native support for hybrid search + generation.
• Model Conversion: Convert formats for offline/local use.
• Fine-Tuning: Built-in LoRA/QLoRA training support.
• Enterprise-Grade Compliance: PII removal, audit logging, prompt safety filters.
• ⚡ CLI + API Ready: Build workflows fast.

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Transformer + Non-Transformer Support

We don't just support LLaMA or GPT. You can fine-tune and run models like:

• RWKV
• Mamba, Hyena, S4
• Custom RNNs, GRUs, CNNs, even CRFs
• SpaCy/NLTK pipelines

All models plug into our BaseLLM interface and can stream, batch, and work offline.

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Code Preview

# Install the SDK
pip install multimind-sdk

# Load and run any model
multimind run --config examples/gpt.yaml



from multimind.llms import get_model

llm = get_model("mistral", config_path="my_config.yaml")
llm.chat("What is MultiMind?")

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Explore Examples

We’ve added real examples for:

• ✅ RAG pipeline
• ✅ Fine-tuning LoRA on transformers and non-transformers
• ✅ CLI workflows
• ✅ Model conversion

examples/ → See it all in action!

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We Need You!

We’re just getting started — and we want this to be your SDK too.

• ⭐ Star the repo: github.com/multimindlab/multimind-sdk
• Contribute or give feedback
• Fund the project via Open Collective

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Final Thought

Whether you’re building an AI agent, chatbot, custom fine-tuner, or an internal LLM system — MultiMind SDK simplifies everything into one unified, transparent stack.

Let’s build the future of open LLMs — together.

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Follow us for updates: @multimindsdk