
Base	Qwen/Qwen2.5-7B-Instruct
Role	Articulate docs/tissue RAG + live fold scalars — not a new law engine
Law court	Pin D1D38A · `free_parameters = 0` · FSOT-2.1-Lean
Code	FSOT-Monte-Carlo-Intelligence

Important

FSOT = Fluid Spacetime Omni-Theory (Damian Arthur Palumbo).
Seeds / (K) / pin are never trained by this product.
Optional LoRA adapters for articulation live in the code repo under data/models/articulation/lora/ (local); this HF repo hosts the base safetensors.
Soft court promote ≠ Lean-proved. Green gate ≤0.5% ≠ multipath map occupancy.

Use with the product

powershell

git clone https://github.com/dappalumbo91/FSOT-Monte-Carlo-Intelligence.git
cd FSOT-Monte-Carlo-Intelligence
pip install -e ".[narrate]"
python scripts/download_qwen25_instruct.py
python -m fsot_mc serve --port 8765
# UI: 2D/3D toggle · Talk to the work (this model) · free_parameters=0

Product UI includes 2D + 3D connective graph (As Above So Below shells) and docs RAG chat over this base model (+ optional local LoRA adapters, not in this HF repo).

Code: https://github.com/dappalumbo91/FSOT-Monte-Carlo-Intelligence
Lean court: https://github.com/dappalumbo91/FSOT-2.1-Lean
Dataset snapshot: https://huggingface.co/datasets/dappalumbo91/fsot-monte-carlo-intelligence

License

Apache-2.0 (upstream Qwen2.5-Instruct). Product code is MIT.

dappalumbo91/FSOT-Qwen2.5-7B-Instruct

FSOT-Qwen2.5-7B-Instruct

Important

Use with the product

Related

License

dappalumbo91/
FSOT-Qwen2.5-7B-Instruct