Model Card on HF 🤗: https://huggingface.co/surya-narayanan/high_school_computer_science
High School Computer Science 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)
High School Computer Science Parameters and Internals
| LLM Name | High School Computer Science |
| Repository 🤗 | https://huggingface.co/surya-narayanan/high_school_computer_science |
| Required VRAM | 0.9 GB |
| Updated | 2025-06-09 |
| Maintainer | surya-narayanan |
| Model Files | |
| Model Architecture | AutoModel |
| Is Biased | none |
| PEFT Type | LORA |
| LoRA Model | Yes |
| PEFT Target Modules | v_proj|o_proj|q_proj|k_proj |
| LoRA Alpha | 256 |
| LoRA Dropout | 0.1 |
| R Param | 256 |
Best Alternatives to High School Computer Science
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Distil Longformer Base 4096 | 4K / 0.4 GB | 10 | 0 |
| Daedalus 1 | 1K / GB | 10 | 1 |
| Tiny Random Detr | 1K / 0.2 GB | 17 | 0 |
| Opengpt2 Pytorch Backward | 1K / 6 GB | 15 | 1 |
| Opengpt2 Pytorch Forward | 1K / 6 GB | 6 | 1 |
| Finsent Transformer | 0.5K / 0.4 GB | 10 | 1 |
| Bert Chinese L 12 H 768 A 12 | 0.5K / 0.4 GB | 9 | 1 |
| Simbert Chinese Base | 0.5K / 0.4 GB | 12 | 0 |
| Simbert Chinese Tiny | 0.5K / 0 GB | 5 | 0 |
| All MiniLM L12 V2 | 0.5K / GB | 1384 | 3 |
Note: green Score (e.g. "73.2") means that the model is better than surya-narayanan/high_school_computer_science .
Rank the High School Computer Science Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124