[GH-ISSUE #784] Add CAJAL: Local Scientific Paper Generator (9B, Ranked #3 on SOTA Benchmark) #14226

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GiteaMirror · 2026-07-12T22:16:03-05:00

GiteaMirror commented

2026-07-12 22:16:03 -05:00

Originally created by @Agnuxo1 on GitHub (May 6, 2026).
Original GitHub issue: https://github.com/Shubhamsaboo/awesome-llm-apps/issues/784

📝 Proposal: Add CAJAL — Local Scientific Paper Generation Model (4B-9B, Ranked #3)

Project: CAJAL — Cognitive Academic Journal Authoring Layer

Why CAJAL Fits This List

CAJAL is a local scientific paper generator that runs entirely on consumer hardware. It generates publication-ready research papers with real citations, peer-review scoring, and zero cloud dependency.

Key Highlights

🏆 Ranked #3 on P2PCLAW scientific paper benchmark (beaten only by Claude Sonnet 4.6)
🧠 Local 9B model (CAJAL-9B v2) with multiple quantizations (Q4_K_M, Q6_K, Q8_0, F16)
📄 7-section papers: Abstract → Introduction → Methods → Results → Discussion → Conclusion → References
🔗 Real citations from arXiv and CrossRef — no hallucinated references
⚖️ Tribunal scoring: 8-10 LLM judges evaluate each paper on 10 quality dimensions
🔌 100+ integrations: Ollama, LangChain, Jupyter, VS Code, LlamaIndex
💻 Consumer hardware: 4-18 GB VRAM depending on quantization

Model Zoo (HuggingFace)

Model	Size	Quantization	VRAM	Link
CAJAL-4B	4B	Q4_K_M	4 GB	HF
CAJAL-9B v2	9B	Q4_K_M	6 GB	HF
CAJAL-9B v2	9B	Q8_0	10 GB	HF
CAJAL-9B v2	9B	F16	18 GB	HF

Quick Start

pip install cajal-p2pclaw
ollama create cajal -f Modelfile
python -c "from cajal_p2pclaw import PaperGenerator; g=PaperGenerator(); print(g.generate('Your research topic'))"

Author

Francisco Angulo de Lafuente (Agnuxo1) — Independent researcher, 35 years trajectory
ORCID: 0009-0001-1634-7063
Coauthors: Vladimir Veselov (MIET, Moscow), Seid Mehammed Abdu (Woldia University, Ethiopia), Nirmal Tej Kumar (UT Dallas)

Would love to contribute to this list! Happy to open a PR if preferred.

Originally created by @Agnuxo1 on GitHub (May 6, 2026). Original GitHub issue: https://github.com/Shubhamsaboo/awesome-llm-apps/issues/784 ## 📝 Proposal: Add CAJAL — Local Scientific Paper Generation Model (4B-9B, Ranked #3) **Project:** [CAJAL](https://github.com/Agnuxo1/CAJAL) — Cognitive Academic Journal Authoring Layer ### Why CAJAL Fits This List CAJAL is a **local scientific paper generator** that runs entirely on consumer hardware. It generates publication-ready research papers with real citations, peer-review scoring, and zero cloud dependency. ### Key Highlights - 🏆 **Ranked #3** on P2PCLAW scientific paper benchmark (beaten only by Claude Sonnet 4.6) - 🧠 **Local 9B model** (CAJAL-9B v2) with multiple quantizations (Q4_K_M, Q6_K, Q8_0, F16) - 📄 **7-section papers**: Abstract → Introduction → Methods → Results → Discussion → Conclusion → References - 🔗 **Real citations** from arXiv and CrossRef — no hallucinated references - ⚖️ **Tribunal scoring**: 8-10 LLM judges evaluate each paper on 10 quality dimensions - 🔌 **100+ integrations**: Ollama, LangChain, Jupyter, VS Code, LlamaIndex - 💻 **Consumer hardware**: 4-18 GB VRAM depending on quantization ### Model Zoo (HuggingFace) | Model | Size | Quantization | VRAM | Link | |-------|------|--------------|------|------| | CAJAL-4B | 4B | Q4_K_M | 4 GB | [HF](https://huggingface.co/Agnuxo/cajal-4b) | | CAJAL-9B v2 | 9B | Q4_K_M | 6 GB | [HF](https://huggingface.co/Agnuxo/cajal-9b-v2-q4_k_m) | | CAJAL-9B v2 | 9B | Q8_0 | 10 GB | [HF](https://huggingface.co/Agnuxo/cajal-9b-v2-q8_0) | | CAJAL-9B v2 | 9B | F16 | 18 GB | [HF](https://huggingface.co/Agnuxo/cajal-9b-v2-f16-gguf) | ### Quick Start ```bash pip install cajal-p2pclaw ollama create cajal -f Modelfile python -c "from cajal_p2pclaw import PaperGenerator; g=PaperGenerator(); print(g.generate('Your research topic'))" ``` ### Author - **Francisco Angulo de Lafuente** (Agnuxo1) — Independent researcher, 35 years trajectory - **ORCID**: 0009-0001-1634-7063 - **Coauthors**: Vladimir Veselov (MIET, Moscow), Seid Mehammed Abdu (Woldia University, Ethiopia), Nirmal Tej Kumar (UT Dallas) --- Would love to contribute to this list! Happy to open a PR if preferred.

GiteaMirror closed this issue

2026-07-12 22:16:04 -05:00

GiteaMirror commented

2026-07-12 22:16:05 -05:00

@awesomekoder commented on GitHub (May 16, 2026):

Thanks for sharing CAJAL. We generally do not accept issues or listing requests for standalone models or external projects. This repo is focused on self-contained, runnable LLM app tutorials with code in their own folder.

If you'd like this considered, please submit a PR with a complete tutorial app that uses CAJAL in a practical workflow, includes setup and run instructions, and is not just a project listing. Otherwise this is not something we can add as-is.

@awesomekoder commented on GitHub (May 16, 2026): Thanks for sharing CAJAL. We generally do not accept issues or listing requests for standalone models or external projects. This repo is focused on self-contained, runnable LLM app tutorials with code in their own folder. If you'd like this considered, please submit a PR with a complete tutorial app that uses CAJAL in a practical workflow, includes setup and run instructions, and is not just a project listing. Otherwise this is not something we can add as-is.

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Reference: github-starred/awesome-llm-apps#14226