vlsp-2023-vllm/ViLLM-Eval
ViLLM-Eval We utilize the lm-eval-harness library to conduct evaluations. This library allows us to efficiently evaluate language models, ensuring robustness and accuracy in our assessments. Feel free to explore our project and discover the capabilities of the language models we employ. Install git clone https://huggingface.co/datasets/vlsp-2023-vllm/ViLLM-Eval cd ViLLM-Eval pip install -e . Basic Usage # Add trust_remote_code=True if your model… See the full description on the dataset page: https://huggingface.co/datasets/vlsp-2023-vllm/ViLLM-Eval.
| Author / organization | vlsp-2023-vllm |
|---|---|
| Downloads | 322 (as reported by Hugging Face) |
| Likes | 3 |
| Created | 13 April 2024 |
| Last updated at source | 19 April 2024 |
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- 17 Oct 2026 Description: ViLLM-Eval We utilize the lm-eval-harness library to conduct evaluations. This library allows us to efficiently evaluate language models, ensuring robustness and accuracy in our assessments. Feel free to explore our project and discover the → ViLLM-Eval We utilize the lm-eval-harness library to conduct evaluations. This library allows us to efficiently evaluate language models, ensuring robustness and accuracy in our assessments. Feel free to explore our project and discover the
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