feat: Add modeling_minimind.py for AutoModelForCausalLM support

feat: Add configuration_minimind.py for AutoModelForCausalLM support

feat: Add config.json for AutoModelForCausalLM support

docs: Add Docker build instructions

feat: Add Docker/OCI integration

feat: Add deployment module

feat: Add Docker API server

feat: Add Docker deployment files

feat: Add NPU export (TFLite, QNN, CoreML)

feat: Add capabilities/thinking.py

feat: Add capabilities/templates.py

feat: Add capabilities/speculative.py

feat: Add capabilities/coding.py

feat: Add capabilities/agentic.py

feat: Add capabilities/vision.py

feat: Add capabilities/reasoning.py

feat: Add capabilities/__init__.py

docs: Add architecture diagram, minimax_m2 tags, fp8, conversational, arxiv references

feat: Add architecture diagram

feat: Add weights config.json

feat: Add max2-nano model weights (safetensors format)

fix: Update .gitignore to allow model weight uploads

Upload model.safetensors (235MB)

Add model.safetensors weights

Add model.safetensors (max2-nano weights, 235MB)

Upload model.safetensors with huggingface_hub

Add max2-nano model weights (98.9M params)

Upload generation_config.json (max2-nano weights)

Upload pytorch_model.bin (max2-nano weights)

Upload model.safetensors (max2-nano weights)

docs: Add comprehensive documentation with architecture diagrams and benchmarks

MiniMind Max2 - Efficient MoE Language Model

initial commit