Add CAJAL: Scientific Language Model for Paper Generation (4B-9B, Open Source)

[Agnuxo1]

Proposal: Add CAJAL — Scientific Language Model for Paper Generation

CAJAL is a family of open-source language models (4B-9B parameters) specifically trained for generating structured scientific papers with real citations, LaTeX output, and domain-specific reasoning.

Why CAJAL fits this list:

• Scientific Language Model — Trained on 500+ scientific papers with structured sections
• Academic Domain — Generates Abstract, Introduction, Methods, Results, Discussion, Conclusions
• Open Source — Qwen-based architecture, MIT licensed, full training scripts available
• Local Execution — GGUF format for llama.cpp/Ollama, runs on 4-6GB VRAM
• Citations — Integrates with OpenAlex/Semantic Scholar for real bibliography

Model Specs:

Model	Base	Size	Context	Format
CAJAL-4B	Qwen2.5-4B-Instruct	~3GB (Q4_K_M)	32K	GGUF, PyTorch
CAJAL-9B	Qwen3.6-9B-Instruct	~5.5GB (Q5_K_M)	32K	GGUF, PyTorch

Links:

• 🔗 GitHub: https://github.com/Agnuxo1/CAJAL
• 🤗 HuggingFace: https://huggingface.co/Agnuxo/CAJAL-4B-P2PCLAW
• 🌐 Project: https://www.p2pclaw.com/

Suggested Section:

Scientific Paper Generation (new subsection)

Model	Paper	GitHub	Size	Domain
CAJAL	—	GitHub	4B-9B	Multi-domain scientific papers

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Happy to submit a PR if there's interest!