Model Card on HF 🤗: https://huggingface.co/surya-narayanan/world_religions
World Religions Benchmarks
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
What is the LLM Explorer Rank (Score)
World Religions Parameters and Internals
| LLM Name | World Religions |
| Repository 🤗 | https://huggingface.co/surya-narayanan/world_religions |
| Model Size | 124.4m |
| Required VRAM | 0.5 GB |
| Updated | 2025-09-23 |
| Maintainer | surya-narayanan |
| Model Files | |
| Model Architecture | AutoModelForCausalLM |
| Is Biased | none |
| PEFT Type | LORA |
| LoRA Model | Yes |
| PEFT Target Modules | v_proj|q_proj|o_proj|k_proj |
| LoRA Alpha | 256 |
| LoRA Dropout | 0.1 |
| R Param | 256 |
Best Alternatives to World Religions
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| GPT 2 Kombinasi4 | 0K / 0 GB | 12 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than surya-narayanan/world_religions .
Rank the World Religions Capabilities
🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟
What open-source LLMs or SLMs are you in search of? 51545 in total.
Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124