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--- |
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license: cc-by-nc-4.0 |
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tags: |
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- not-for-all-audiences |
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- merge |
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model-index: |
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- name: Buttocks-7B-v1.0 |
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results: |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: AI2 Reasoning Challenge (25-Shot) |
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type: ai2_arc |
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config: ARC-Challenge |
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split: test |
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args: |
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num_few_shot: 25 |
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metrics: |
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- type: acc_norm |
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value: 54.61 |
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name: normalized accuracy |
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source: |
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=TeeZee/Buttocks-7B-v1.0 |
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name: Open LLM Leaderboard |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: HellaSwag (10-Shot) |
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type: hellaswag |
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split: validation |
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args: |
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num_few_shot: 10 |
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metrics: |
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- type: acc_norm |
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value: 75.61 |
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name: normalized accuracy |
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source: |
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=TeeZee/Buttocks-7B-v1.0 |
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name: Open LLM Leaderboard |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: MMLU (5-Shot) |
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type: cais/mmlu |
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config: all |
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split: test |
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args: |
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num_few_shot: 5 |
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metrics: |
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- type: acc |
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value: 50.22 |
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name: accuracy |
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source: |
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=TeeZee/Buttocks-7B-v1.0 |
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name: Open LLM Leaderboard |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: TruthfulQA (0-shot) |
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type: truthful_qa |
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config: multiple_choice |
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split: validation |
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args: |
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num_few_shot: 0 |
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metrics: |
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- type: mc2 |
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value: 44.72 |
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source: |
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=TeeZee/Buttocks-7B-v1.0 |
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name: Open LLM Leaderboard |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: Winogrande (5-shot) |
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type: winogrande |
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config: winogrande_xl |
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split: validation |
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args: |
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num_few_shot: 5 |
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metrics: |
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- type: acc |
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value: 68.9 |
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name: accuracy |
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source: |
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=TeeZee/Buttocks-7B-v1.0 |
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name: Open LLM Leaderboard |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: GSM8k (5-shot) |
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type: gsm8k |
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config: main |
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split: test |
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args: |
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num_few_shot: 5 |
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metrics: |
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- type: acc |
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value: 5.76 |
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name: accuracy |
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source: |
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=TeeZee/Buttocks-7B-v1.0 |
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name: Open LLM Leaderboard |
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--- |
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### Buttocks 7B v1.0 ### |
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An experiment that has gone very, very wrong. |
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### Model details ### |
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- Recreation of the original recipe for [Undi95/Toppy-M-7B](https://huggingface.co/Undi95/Toppy-M-7B), but instead of final merge done by mergekit, [MergeMoster](https://github.com/Gryphe/MergeMonster/) was used with extended RPG preset. |
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- recipe in [mergekit-config](https://huggingface.co/TeeZee/Toppy-7B-remake-mergemonster-SLERP-v1.0/resolve/main/toppy-slerp-merge-config.yml), stepsAA, BB, CC are the original models with LORAS as per Toppy M 7B sauce. |
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- SLERP merge method was used |
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### Results ### |
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- in simple terms this model is totally unhinged |
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- it always produces sequences similar to fever dreams or drug trips |
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- on a good day it can produce scenarios similar to old Monty Python sketches |
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- models shows incredible affinity to words like 'ass', 'buttocks', 'farts', prompting with those single words will probably |
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produce a whole story revolving around those topics. |
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### Possible uses ### |
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- to generate dream sequence in a story |
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- to make the boring model more unpredictable by merging at low weights with this monster |
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- to take a break, connect Silly Tavern to this model and get a few ROTFLs observing how every story deteriorates into pure craziness |
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- research on LLM hallucinations |
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# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard) |
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Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_TeeZee__Buttocks-7B-v1.0) |
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| Metric |Value| |
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|---------------------------------|----:| |
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|Avg. |49.97| |
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|AI2 Reasoning Challenge (25-Shot)|54.61| |
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|HellaSwag (10-Shot) |75.61| |
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|MMLU (5-Shot) |50.22| |
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|TruthfulQA (0-shot) |44.72| |
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|Winogrande (5-shot) |68.90| |
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|GSM8k (5-shot) | 5.76| |
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