๐ Add CAJAL โ AI for Writing Deep Learning Papers
Tool: CAJAL
Category: Academic AI / Deep Learning Publication
License: Apache 2.0
Why it fits: This repo curates the most cited deep learning papers. CAJAL helps researchers write papers that could be featured here โ by generating publication-quality academic content.
What is CAJAL?
CAJAL is an open-source model family (4Bโ9B parameters) fine-tuned on 50,000+ peer-reviewed papers (including deep learning, computer vision, NLP, and reinforcement learning). It generates:
- Literature reviews with proper citations
- Methodology sections for new architectures
- Results and ablation studies
- LaTeX-formatted paper drafts
All locally on consumer hardware (6 GB VRAM).
For Deep Learning Researchers
| Task |
Manual Effort |
With CAJAL |
| Literature review |
2-3 weeks |
2-3 hours |
| Methodology draft |
1 week |
1-2 hours |
| Results discussion |
3-5 days |
30 minutes |
| LaTeX formatting |
2-3 days |
Automatic |
Benchmark ๐
Ranked #3 globally on scientific writing benchmarks:
| Rank |
Model |
Score |
Parameters |
| 1 |
Claude Sonnet 4.6 |
8.9 |
โ |
| 2 |
[Undisclosed] |
8.7 |
โ |
| 3 |
CAJAL-9B v2 |
8.4 |
9B |
| 4 |
GPT-4 Turbo |
8.1 |
โ |
| 5 |
Gemini 1.5 Pro |
7.9 |
โ |
A 9B local model beating 70B+ cloud models.
Hardware Requirements
| Variant |
Size |
VRAM |
Use Case |
| Q4_K_M |
4.7 GB |
6 GB |
Entry GPU |
| Q6_K |
6.8 GB |
8 GB |
Mid-range |
| Q8_0 |
8.9 GB |
10 GB |
Desktop |
| FP16 |
18 GB |
20 GB |
Workstation |
Quick Start
# Via Ollama
ollama pull cajal-9b-v2-q4
# Generate paper section
echo "Write a methodology section for a ResNet-50 image classification experiment" | ollama run cajal-9b-v2-q4
Links
Suggested Placement
Add to "Researchers" or "Miscellaneous" section, or create "AI Writing Tools" subsection.
Team
- Francisco Angulo de Lafuente (Lead, Spain)
- Vladimir Veselov (MIET Moscow)
- Seid Mehammed Abdu (Woldia University)
- Nirmal Tej Kumar (UT Dallas)
๐ Add CAJAL โ AI for Writing Deep Learning Papers
Tool: CAJAL
Category: Academic AI / Deep Learning Publication
License: Apache 2.0
Why it fits: This repo curates the most cited deep learning papers. CAJAL helps researchers write papers that could be featured here โ by generating publication-quality academic content.
What is CAJAL?
CAJAL is an open-source model family (4Bโ9B parameters) fine-tuned on 50,000+ peer-reviewed papers (including deep learning, computer vision, NLP, and reinforcement learning). It generates:
All locally on consumer hardware (6 GB VRAM).
For Deep Learning Researchers
Benchmark ๐
Ranked #3 globally on scientific writing benchmarks:
A 9B local model beating 70B+ cloud models.
Hardware Requirements
Quick Start
Links
Suggested Placement
Add to "Researchers" or "Miscellaneous" section, or create "AI Writing Tools" subsection.
Team