Integration Proposal: CAJAL — Scientific Paper Agent for StarCoder

Integration Proposal: CAJAL — Scientific Paper Agent for StarCoder

What is CAJAL?

CAJAL is not a general-purpose chat model. It is a specialized scientific paper generation tool — local, 2GB, producing LaTeX-formatted academic output.

Part of P2PCLAW

Agent in P2PCLAW — 14-agent decentralized research network.

Why StarCoder?

StarCoder is a code generation model. CAJAL + StarCoder = code-to-paper pipeline:

• StarCoder writes research code
• CAJAL writes the paper
• Reproducible research bundle

Proposed Integration

from transformers import AutoModelForCausalLM
from cajal import ScientificWriter

code_model = AutoModelForCausalLM.from_pretrained("bigcode/starcoder")
writer = ScientificWriter()
# StarCoder → code → CAJAL → paper

Links

• HF: https://huggingface.co/Agnuxo/CAJAL-4B-P2PCLAW
• GH: https://github.com/Agnuxo1/CAJAL
• P2PCLAW: https://p2pclaw.com

— Francisco (@Agnuxo1), P2PCLAW