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TITLE = """<h1 align="center" id="space-title"> 🏆 CLEM Leaderboard</h1>""" |
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INTRODUCTION_TEXT = """ |
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The CLEM Leaderboard aims to track, rank and evaluate current cLLMs (chat-optimized Large Language Models) with the suggested pronounciation “clems”. |
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The benchmarking approach is described in [Clembench: Using Game Play to Evaluate Chat-Optimized Language Models as Conversational Agents](https://arxiv.org/abs/2305.13455). |
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[Github repo](https://github.com/clembench/clembench) |
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""" |
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SHORT_NAMES = { |
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"t0.0": "", |
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"claude-v1.3": "cl-1.3", |
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"claude-2": "cl-2", |
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"claude-2.1": "cl-2.1", |
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"claude-instant-1.2": "cl-ins-1.2", |
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"gpt-3.5-turbo-0613": "3.5-0613", |
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"gpt-3.5-turbo-1106": "3.5-1106", |
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"gpt-4-0613": "4-0613", |
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"gpt-4-1106-preview": "4-1106", |
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"gpt-4-0314": "4-0314", |
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"gpt-4": "4", |
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"text-davinci-003": "3", |
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"luminous-supreme": "lm", |
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"koala-13b": "ko", |
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"falcon-40b": "flc", |
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"falcon-7b-instruct": "fal-7b", |
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"falcon-40b-instruct": "flc-i-40b", |
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"oasst-12b": "oas-12b", |
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"oasst-sft-4-pythia-12b-epoch-3.5": "ost-12b", |
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"vicuna-13b": "vic-13b", |
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"vicuna-33b-v1.3": "vic-33b", |
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"sheep-duck-llama-2-70b-v1.1": "sd-l2-70b", |
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"sheep-duck-llama-2-13b": "sd-l2-13b", |
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"WizardLM-70b-v1.0": "w-70b", |
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"CodeLlama-34b-Instruct-hf": "cl-34b", |
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"command": "com", |
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"Mistral-7B-Instruct-v0.1": "m-i-7b", |
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"Wizard-Vicuna-13B-Uncensored-HF": "vcn-13b", |
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"llama-2-13b-chat-hf": "l2-13b", |
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"llama-2-70b-chat-hf": "l2-70b", |
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"llama-2-7b-chat-hf": "l2-7b", |
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"koala-13B-HF": "k-13b" |
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} |
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