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--- |
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language: |
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- en |
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- ko |
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- ja |
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- zh |
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- es |
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license: apache-2.0 |
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model-index: |
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- name: Qwen2-7B-Multilingual-RP |
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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: IFEval (0-Shot) |
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type: HuggingFaceH4/ifeval |
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args: |
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num_few_shot: 0 |
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metrics: |
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- type: inst_level_strict_acc and prompt_level_strict_acc |
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value: 43.47 |
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name: strict accuracy |
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source: |
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=maywell/Qwen2-7B-Multilingual-RP |
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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: BBH (3-Shot) |
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type: BBH |
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args: |
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num_few_shot: 3 |
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metrics: |
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- type: acc_norm |
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value: 30.54 |
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name: normalized accuracy |
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source: |
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=maywell/Qwen2-7B-Multilingual-RP |
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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: MATH Lvl 5 (4-Shot) |
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type: hendrycks/competition_math |
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args: |
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num_few_shot: 4 |
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metrics: |
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- type: exact_match |
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value: 20.62 |
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name: exact match |
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source: |
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=maywell/Qwen2-7B-Multilingual-RP |
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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: GPQA (0-shot) |
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type: Idavidrein/gpqa |
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args: |
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num_few_shot: 0 |
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metrics: |
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- type: acc_norm |
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value: 6.26 |
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name: acc_norm |
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source: |
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=maywell/Qwen2-7B-Multilingual-RP |
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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: MuSR (0-shot) |
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type: TAUR-Lab/MuSR |
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args: |
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num_few_shot: 0 |
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metrics: |
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- type: acc_norm |
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value: 6.23 |
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name: acc_norm |
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source: |
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=maywell/Qwen2-7B-Multilingual-RP |
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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-PRO (5-shot) |
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type: TIGER-Lab/MMLU-Pro |
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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: 31.77 |
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name: accuracy |
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source: |
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=maywell/Qwen2-7B-Multilingual-RP |
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name: Open LLM Leaderboard |
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--- |
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> [!TIP] |
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> Have Fun :> |
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# Qwen2-7B-Multilingual-RP |
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## Model Info |
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| Context Length | Parameter | Prompt Template | isErp | |
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| --- | --- | --- | --- | |
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| 32k(32768) | 7B | ChatML | Partly | |
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## Prompt Template |
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``` |
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{% for message in messages %}{{'<|im_start|>' + message['role'] + '\n' + message['content']}}{% if not loop.last or (loop.last and message['role'] != 'assistant') %}{{'<|im_end|>\n'}}{% endif %}{% endfor %}{% if add_generation_prompt and messages[-1]['role'] != 'assistant' %}{{ '<|im_start|>assistant\n' }}{% endif %} |
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``` |
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## Training Details |
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| Trained with | GPU Hour | Tokens Seen | |
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| --- | --- | --- | |
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| A100 80G SXM * 8 | > 1,000H | > 2B | |
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## Examples |
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> [!TIP] |
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> Korean example |
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<img src="./korean.png" alt="Korean Example" width="580"/> |
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> [!TIP] |
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> More examples soon. |
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## License |
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Copyright 2024, Wanot AI, Inc |
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Licensed under the Apache License, Version 2.0 (the "License"); |
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you may not use this file except in compliance with the License. |
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You may obtain a copy of the License at |
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http://www.apache.org/licenses/LICENSE-2.0 |
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Unless required by applicable law or agreed to in writing, software |
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distributed under the License is distributed on an "AS IS" BASIS, |
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
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See the License for the specific language governing permissions and |
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limitations under the License. |
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# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard) |
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Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_maywell__Qwen2-7B-Multilingual-RP) |
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| Metric |Value| |
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|-------------------|----:| |
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|Avg. |23.15| |
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|IFEval (0-Shot) |43.47| |
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|BBH (3-Shot) |30.54| |
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|MATH Lvl 5 (4-Shot)|20.62| |
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|GPQA (0-shot) | 6.26| |
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|MuSR (0-shot) | 6.23| |
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|MMLU-PRO (5-shot) |31.77| |
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