Update README.md
Browse filesUpdated benchmark, with additional model descriptions.
README.md
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- en
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tags:
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- benchmark
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- llm
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pretty_name: llm_creativity_benchmark
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size_categories:
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- n<1K
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# The LLM Creativity benchmark
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_Last benchmark update:
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The goal of this benchmark is to evaluate the ability of Large Language Models to be used
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as an **uncensored creative writing assistant**. Human evaluation of the results is done manually,
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# Results
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![image.png](https://cdn-uploads.huggingface.co/production/uploads/65a681d3da9f6df1410562e9/
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# Remarks about some of the models
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[wolfram/miqu-1-120b](https://huggingface.co/wolfram/miqu-1-120b)\
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This frankenmerge has dramatically improved over the original 70b miqu, and somehow, it has also made it less likely to refuse to answer! It's a huge improvement. Still has the same tendencies as the original: likes to use lists when replying, and double line breaks in the prompt reduce the quality of the reply.
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min_p = 0.05\
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top_p = 0.1
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# Other
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- [Emotional Intelligence Benchmark for LLMs](https://eqbench.com/)
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- [Chatbot Arena Leaderboard](https://huggingface.co/spaces/lmsys/chatbot-arena-leaderboard)
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- en
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tags:
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- benchmark
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pretty_name: llm_creativity_benchmark
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size_categories:
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- n<1K
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# The LLM Creativity benchmark
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_Last benchmark update: 12 Mar 2024_
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The goal of this benchmark is to evaluate the ability of Large Language Models to be used
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as an **uncensored creative writing assistant**. Human evaluation of the results is done manually,
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# Results
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![image.png](https://cdn-uploads.huggingface.co/production/uploads/65a681d3da9f6df1410562e9/U1nIwW5eUBVZtOvNBfuWK.png)
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# Remarks about some of the models
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[wolfram/miqu-1-103b](https://huggingface.co/wolfram/miqu-1-103b)\
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Has slightly more difficulties following instructions than the 120b merge. Also produces more annoying repetitions and re-use of expressions.
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The q5_ks is a slight improvements over q4_km, but as it uses more memory, it reduces what it is available for context. Still, with 96GB I can still use a context larger than 16k.
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[froggeric/WestLake-10.7b-v2](https://huggingface.co/froggeric/WestLake-10.7B-v2-GGUF)\
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Better and more detailed writing than the original, but has slightly more difficulties following instructions.
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[alpindale/goliath-120b](https://huggingface.co/alpindale/goliath-120b)\
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Very creative, which makes for some great writing, but it also means it has a hard time sticking to the plot.
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[Undi95/PsyMedRP-v1-20B](https://huggingface.co/Undi95/PsyMedRP-v1-20B)\
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Great writing with lots of details, taking sufficient time to develop the plot. The small context size though is a limiting factor for consistency.
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**Previously:**
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[wolfram/miqu-1-120b](https://huggingface.co/wolfram/miqu-1-120b)\
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This frankenmerge has dramatically improved over the original 70b miqu, and somehow, it has also made it less likely to refuse to answer! It's a huge improvement. Still has the same tendencies as the original: likes to use lists when replying, and double line breaks in the prompt reduce the quality of the reply.
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min_p = 0.05\
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top_p = 0.1
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# Other great benchmarks
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- [Emotional Intelligence Benchmark for LLMs](https://eqbench.com/)
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- [Chatbot Arena Leaderboard](https://huggingface.co/spaces/lmsys/chatbot-arena-leaderboard)
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