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--- |
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license: apache-2.0 |
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library_name: transformers |
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tags: |
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- mergekit |
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- merge |
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base_model: |
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- lodrick-the-lafted/Olethros-8B |
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- lodrick-the-lafted/Limon-8B |
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- lodrick-the-lafted/Rummage-8B |
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- cgato/L3-TheSpice-8b-v0.8.3 |
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- unsloth/llama-3-8b-Instruct |
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- Edgerunners/meta-llama-3-8b-instruct-hf-ortho-baukit-10fail-1000total |
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model-index: |
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- name: Kudzu-8B |
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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: 62.46 |
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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=lodrick-the-lafted/Kudzu-8B |
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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: 80.28 |
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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=lodrick-the-lafted/Kudzu-8B |
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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: 68.14 |
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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=lodrick-the-lafted/Kudzu-8B |
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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: 52.77 |
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source: |
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=lodrick-the-lafted/Kudzu-8B |
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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: 76.8 |
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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=lodrick-the-lafted/Kudzu-8B |
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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: 63.08 |
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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=lodrick-the-lafted/Kudzu-8B |
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name: Open LLM Leaderboard |
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--- |
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<img src=https://huggingface.co/lodrick-the-lafted/Kudzu-8B/resolve/main/kudzu.png> |
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Kudzu-8B |
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Fresh out of the mergekit-evolve kitchen, this is a merge model between: |
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* [lodrick-the-lafted/Olethros-8B](https://huggingface.co/lodrick-the-lafted/Olethros-8B) |
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* [lodrick-the-lafted/Limon-8B](https://huggingface.co/lodrick-the-lafted/Limon-8B) |
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* [lodrick-the-lafted/Rummage-8B](https://huggingface.co/lodrick-the-lafted/Rummage-8B) |
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* [Edgerunners/meta-llama-3-8b-instruct-hf-ortho-baukit-10fail-1000total](https://huggingface.co/Edgerunners/meta-llama-3-8b-instruct-hf-ortho-baukit-10fail-1000total) |
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* [cgato/L3-TheSpice-8b-v0.8.3](https://huggingface.co/cgato/L3-TheSpice-8b-v0.8.3) |
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Used wmdp as the scoring method for evolve. In my limited testing, it has not done the usual Llama-3 "Ahaha!" interjections while retaining a good portion of the intelligence. There are several ablated models in the mix so don't be surprised if it gives you what you ask for. |
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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_lodrick-the-lafted__Kudzu-8B) |
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| Metric |Value| |
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|---------------------------------|----:| |
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|Avg. |67.25| |
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|AI2 Reasoning Challenge (25-Shot)|62.46| |
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|HellaSwag (10-Shot) |80.28| |
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|MMLU (5-Shot) |68.14| |
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|TruthfulQA (0-shot) |52.77| |
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|Winogrande (5-shot) |76.80| |
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|GSM8k (5-shot) |63.08| |
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