clefourrier HF staff thomwolf HF staff commited on
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Short emoji legend on first page (#133)

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- Short emoji legend on first page (a58410492fa3d32a8b9987d2fca89041cf04a946)


Co-authored-by: Thomas Wolf <[email protected]>

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  1. src/assets/text_content.py +2 -0
src/assets/text_content.py CHANGED
@@ -62,6 +62,8 @@ INTRODUCTION_TEXT = f"""
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  πŸ€— Anyone from the community can submit a model for automated evaluation on the πŸ€— GPU cluster, as long as it is a πŸ€— Transformers model with weights on the Hub. We also support evaluation of models with delta-weights for non-commercial licensed models, such as the original LLaMa release.
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  Other cool benchmarks for LLMs are developped at HuggingFace, go check them out: πŸ™‹πŸ€– [human and GPT4 evals](https://huggingface.co/spaces/HuggingFaceH4/human_eval_llm_leaderboard), πŸ–₯️ [performance benchmarks](https://huggingface.co/spaces/optimum/llm-perf-leaderboard)
 
 
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  """
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  LLM_BENCHMARKS_TEXT = f"""
 
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  πŸ€— Anyone from the community can submit a model for automated evaluation on the πŸ€— GPU cluster, as long as it is a πŸ€— Transformers model with weights on the Hub. We also support evaluation of models with delta-weights for non-commercial licensed models, such as the original LLaMa release.
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  Other cool benchmarks for LLMs are developped at HuggingFace, go check them out: πŸ™‹πŸ€– [human and GPT4 evals](https://huggingface.co/spaces/HuggingFaceH4/human_eval_llm_leaderboard), πŸ–₯️ [performance benchmarks](https://huggingface.co/spaces/optimum/llm-perf-leaderboard)
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+
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+ 🟒: Base pretrained model – πŸ”Ά: Instruction finetuned model – 🟦: Model finetuned with RL (read more details in "About" tab)
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  """
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  LLM_BENCHMARKS_TEXT = f"""