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Update src/display/about.py

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  1. src/display/about.py +5 -6
src/display/about.py CHANGED
@@ -38,7 +38,7 @@ We chose these benchmarks as they test a variety of reasoning and general knowle
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  ---------------------------
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- ## REPRODUCIBILITY
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  To reproduce our results, here is the commands you can run, using [v0.4.2](https://github.com/EleutherAI/lm-evaluation-harness/tree/v0.4.2) of the Eleuther AI Harness:
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  ```
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  python main.py --model=hf-causal-experimental
@@ -71,7 +71,7 @@ Side note on the baseline scores:
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  ---------------------------
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- ## RESSOURCES
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  ### Quantization
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  To get more information about quantization, see:
@@ -79,10 +79,9 @@ To get more information about quantization, see:
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  - 4 bits: [blog post](https://huggingface.co/blog/4bit-transformers-bitsandbytes), [paper](https://arxiv.org/abs/2305.14314)
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  ### Other cool leaderboards:
 
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  - [LLM safety](https://huggingface.co/spaces/AI-Secure/llm-trustworthy-leaderboard)
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  - [LLM performance](https://huggingface.co/spaces/optimum/llm-perf-leaderboard)
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- - [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
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-
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  """
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@@ -90,7 +89,7 @@ FAQ_TEXT = """
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  ## SUBMISSIONS
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  My model requires `trust_remote_code=True`, can I submit it?
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- - *Yes, we want to support the newest models.*
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  How can I follow when my model is launched?
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  - *You can look for its request file [here](https://huggingface.co/datasets/Intel/ld_requests) and follow the status evolution, or directly in the queues above the submit form.*
@@ -182,7 +181,7 @@ The compute dtype will pass to `lm-eval` for the inference. Currently, we suppor
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  CITATION_BUTTON_LABEL = "Copy the following snippet to cite these results"
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  CITATION_BUTTON_TEXT = r"""
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  @software{auto-round,
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- title = Intel® AutoRound,
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  publisher = {Intel},
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  url = {https://github.com/intel/auto-round}
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  }
 
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  ---------------------------
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+ ## RERODUCIBILITY
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  To reproduce our results, here is the commands you can run, using [v0.4.2](https://github.com/EleutherAI/lm-evaluation-harness/tree/v0.4.2) of the Eleuther AI Harness:
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  ```
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  python main.py --model=hf-causal-experimental
 
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  ---------------------------
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+ ## RESOURCES
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  ### Quantization
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  To get more information about quantization, see:
 
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  - 4 bits: [blog post](https://huggingface.co/blog/4bit-transformers-bitsandbytes), [paper](https://arxiv.org/abs/2305.14314)
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  ### Other cool leaderboards:
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+ - [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
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  - [LLM safety](https://huggingface.co/spaces/AI-Secure/llm-trustworthy-leaderboard)
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  - [LLM performance](https://huggingface.co/spaces/optimum/llm-perf-leaderboard)
 
 
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  """
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  ## SUBMISSIONS
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  My model requires `trust_remote_code=True`, can I submit it?
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+ - *Yes, the leaderboard supports the model with `trust_remote_code=True` well.*
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  How can I follow when my model is launched?
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  - *You can look for its request file [here](https://huggingface.co/datasets/Intel/ld_requests) and follow the status evolution, or directly in the queues above the submit form.*
 
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  CITATION_BUTTON_LABEL = "Copy the following snippet to cite these results"
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  CITATION_BUTTON_TEXT = r"""
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  @software{auto-round,
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+ title = AutoRound,
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  publisher = {Intel},
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  url = {https://github.com/intel/auto-round}
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  }