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--- |
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license: other |
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metrics: |
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- accuracy |
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base_model: Mihaiii/Pallas-0.5 |
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inference: false |
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license_name: yi-license |
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license_link: https://huggingface.co/01-ai/Yi-34B/blob/main/LICENSE |
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model-index: |
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- name: Pallas-0.5-frankenmerge |
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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: 61.77 |
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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=Mihaiii/Pallas-0.5-frankenmerge |
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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: 80.36 |
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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=Mihaiii/Pallas-0.5-frankenmerge |
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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: 67.62 |
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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=Mihaiii/Pallas-0.5-frankenmerge |
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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: 54.07 |
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source: |
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Mihaiii/Pallas-0.5-frankenmerge |
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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: 77.74 |
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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=Mihaiii/Pallas-0.5-frankenmerge |
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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: 24.11 |
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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=Mihaiii/Pallas-0.5-frankenmerge |
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name: Open LLM Leaderboard |
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--- |
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|
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This is a frankenmerge of [Mihaiii/Pallas-0.5](https://huggingface.co/Mihaiii/Pallas-0.5) . |
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It was done using [mergekit](https://github.com/cg123/mergekit). |
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It works well with long system prompts. |
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It isn't generic in a sense that it shouldn't be used for story telling, for example, but only for reasoning and text comprehension. |
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This model is trained on a private dataset. |
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|
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# Prompt Format: |
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``` |
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SYSTEM: <ANY SYSTEM CONTEXT> |
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USER: |
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ASSISTANT: |
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``` |
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Merge config: |
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```yaml |
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slices: |
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- sources: |
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- model: "Mihaiii/Pallas-0.5" |
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layer_range: [0, 60] |
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- sources: |
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- model: "Mihaiii/Pallas-0.5" |
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layer_range: [58, 60] |
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- sources: |
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- model: "Mihaiii/Pallas-0.5" |
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layer_range: [55, 56] |
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merge_method: passthrough |
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dtype: bfloat16 |
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``` |
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|
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Quants: |
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|
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[TheBloke/Pallas-0.5-frankenmerge-GGUF](https://huggingface.co/TheBloke/Pallas-0.5-frankenmerge-GGUF) |
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[TheBloke/Pallas-0.5-frankenmerge-GPTQ](https://huggingface.co/TheBloke/Pallas-0.5-frankenmerge-GPTQ) |
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[TheBloke/Pallas-0.5-frankenmerge-AWQ](https://huggingface.co/TheBloke/Pallas-0.5-frankenmerge-AWQ) |
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|
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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_Mihaiii__Pallas-0.5-frankenmerge) |
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|
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| Metric |Value| |
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|---------------------------------|----:| |
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|Avg. |60.95| |
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|AI2 Reasoning Challenge (25-Shot)|61.77| |
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|HellaSwag (10-Shot) |80.36| |
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|MMLU (5-Shot) |67.62| |
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|TruthfulQA (0-shot) |54.07| |
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|Winogrande (5-shot) |77.74| |
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|GSM8k (5-shot) |24.11| |
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|