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.
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.
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.
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?")
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!
We Need You!
We’re just getting started — and we want this to be your SDK too.
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.
Follow us for updates: @multimindsdk