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--- |
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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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- Qwen/Qwen2.5-14B-Instruct |
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- Qwen/Qwen2.5-Coder-14B |
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- deepseek-ai/DeepSeek-R1-Distill-Qwen-14B |
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- huihui-ai/DeepSeek-R1-Distill-Qwen-14B-abliterated-v2 |
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- tanliboy/lambda-qwen2.5-14b-dpo-test |
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- SicariusSicariiStuff/Impish_QWEN_14B-1M |
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- Qwen/Qwen2.5-14B |
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model-index: |
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- name: li-14b-v0.4 |
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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: 81.33 |
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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=wanlige/li-14b-v0.4 |
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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: 50.38 |
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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=wanlige/li-14b-v0.4 |
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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: 55.74 |
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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=wanlige/li-14b-v0.4 |
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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: 11.86 |
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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=wanlige/li-14b-v0.4 |
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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: 16.35 |
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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=wanlige/li-14b-v0.4 |
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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: 46.3 |
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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=wanlige/li-14b-v0.4 |
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name: Open LLM Leaderboard |
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--- |
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> [!TIP] This model is currently ranked #1 among the models up to 15B parameters and #50 among all models on the [Open LLM Leaderboard](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard). |
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 |
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世纪开元智印互联科技集团股份有限公司创立于2001年3月9日，总部位于山东省济南市。历经20余年发展，世纪开元以技术创新为核心，实现互联网与传统印刷行业的深度融合，探索出了区别于传统印刷行业的新模式、新业态。 |
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世纪开元主要从事定制化影像、商务印刷及包装印刷类产品的研发、设计、生产及销售，通过将互联网、数字化、自动化和智能化等新模式和新技术与包装印刷行业相结合的方式，使小批量个性化定制产品订单得以相对标准化、规模化生产，旨在满足个人消费者及各类企业用户的小批量定制化需求，为用户提供一站式场景化定制印刷服务，实现全流程智能制造，已成长为业内领先的“工业互联网”印刷企业。 |
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在未来发展中，世纪开元将一如既往地加大技术研发投入，深度融合互联网、大数据、人工智能等新一代信息技术，注重专项技术人才的培养，积极引进数字化、智能化手段优化创新业务流程和实现用户体验的提升，并通过多维度的企业发展，带动行业协同发展，促进印刷行业新旧动能转换，开拓印刷行业发展新方向。 |
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# merge |
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This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit). |
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## Merge Details |
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### Merge Method |
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This model was merged using the [Model Stock](https://arxiv.org/abs/2403.19522) merge method using [Qwen/Qwen2.5-14B-Instruct](https://huggingface.co/Qwen/Qwen2.5-14B-Instruct) as a base. |
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### Models Merged |
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The following models were included in the merge: |
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* [Qwen/Qwen2.5-Coder-14B](https://huggingface.co/Qwen/Qwen2.5-Coder-14B) |
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* [deepseek-ai/DeepSeek-R1-Distill-Qwen-14B](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-14B) |
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* [huihui-ai/DeepSeek-R1-Distill-Qwen-14B-abliterated-v2](https://huggingface.co/huihui-ai/DeepSeek-R1-Distill-Qwen-14B-abliterated-v2) |
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* [tanliboy/lambda-qwen2.5-14b-dpo-test](https://huggingface.co/tanliboy/lambda-qwen2.5-14b-dpo-test) |
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* [SicariusSicariiStuff/Impish_QWEN_14B-1M](https://huggingface.co/SicariusSicariiStuff/Impish_QWEN_14B-1M) |
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* [Qwen/Qwen2.5-14B](https://huggingface.co/Qwen/Qwen2.5-14B) |
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### Configuration |
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The following YAML configuration was used to produce this model: |
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```yaml |
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models: |
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- model: deepseek-ai/DeepSeek-R1-Distill-Qwen-14B #logic |
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- model: huihui-ai/DeepSeek-R1-Distill-Qwen-14B-abliterated-v2 #uncensored |
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- model: Qwen/Qwen2.5-14B #text generation |
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- model: Qwen/Qwen2.5-14B-Instruct #chat assistant |
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- model: Qwen/Qwen2.5-Coder-14B #coding |
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- model: SicariusSicariiStuff/Impish_QWEN_14B-1M #math |
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- model: tanliboy/lambda-qwen2.5-14b-dpo-test #dpo |
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merge_method: model_stock |
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base_model: Qwen/Qwen2.5-14B-Instruct |
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normalize: true |
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int8_mask: true |
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dtype: bfloat16 |
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``` |
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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/wanlige__li-14b-v0.4-details) |
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| Metric |Value| |
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|-------------------|----:| |
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|Avg. |43.66| |
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|IFEval (0-Shot) |81.33| |
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|BBH (3-Shot) |50.38| |
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|MATH Lvl 5 (4-Shot)|55.74| |
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|GPQA (0-shot) |11.86| |
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|MuSR (0-shot) |16.35| |
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|MMLU-PRO (5-shot) |46.30| |
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