Model Card on HF 🤗: https://huggingface.co/ADP-EPFL/GPT2-Einstein-EPFL
GPT2 Einstein EPFL 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)
GPT2 Einstein EPFL Parameters and Internals
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| Training Details |
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| LLM Name | GPT2 Einstein EPFL |
| Repository 🤗 | https://huggingface.co/ADP-EPFL/GPT2-Einstein-EPFL |
| Required VRAM | 0.1 GB |
| Updated | 2025-02-22 |
| Maintainer | ADP-EPFL |
| Model Files | |
| Supported Languages | en |
| Model Architecture | AutoModelForCausalLM |
| License | apache-2.0 |
| Model Max Length | 1024 |
| Is Biased | none |
| PEFT Type | LORA |
| LoRA Model | Yes |
| PEFT Target Modules | c_attn |
| LoRA Alpha | 128 |
| LoRA Dropout | 0.05 |
| R Param | 128 |
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Note: green Score (e.g. "73.2") means that the model is better than ADP-EPFL/GPT2-Einstein-EPFL .
Rank the GPT2 Einstein EPFL Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227