---
library_name: transformers
tags:
- mergekit
- merge
base_model:
- Qwen/Qwen2.5-14B-Instruct
- Qwen/Qwen2.5-Coder-14B
- deepseek-ai/DeepSeek-R1-Distill-Qwen-14B
- huihui-ai/DeepSeek-R1-Distill-Qwen-14B-abliterated-v2
- tanliboy/lambda-qwen2.5-14b-dpo-test
- SicariusSicariiStuff/Impish_QWEN_14B-1M
- Qwen/Qwen2.5-14B
model-index:
- name: li-14b-v0.4
  results:
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: IFEval (0-Shot)
      type: HuggingFaceH4/ifeval
      args:
        num_few_shot: 0
    metrics:
    - type: inst_level_strict_acc and prompt_level_strict_acc
      value: 81.33
      name: strict accuracy
    source:
      url: https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=wanlige/li-14b-v0.4
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: BBH (3-Shot)
      type: BBH
      args:
        num_few_shot: 3
    metrics:
    - type: acc_norm
      value: 50.38
      name: normalized accuracy
    source:
      url: https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=wanlige/li-14b-v0.4
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: MATH Lvl 5 (4-Shot)
      type: hendrycks/competition_math
      args:
        num_few_shot: 4
    metrics:
    - type: exact_match
      value: 55.74
      name: exact match
    source:
      url: https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=wanlige/li-14b-v0.4
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: GPQA (0-shot)
      type: Idavidrein/gpqa
      args:
        num_few_shot: 0
    metrics:
    - type: acc_norm
      value: 11.86
      name: acc_norm
    source:
      url: https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=wanlige/li-14b-v0.4
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: MuSR (0-shot)
      type: TAUR-Lab/MuSR
      args:
        num_few_shot: 0
    metrics:
    - type: acc_norm
      value: 16.35
      name: acc_norm
    source:
      url: https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=wanlige/li-14b-v0.4
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: MMLU-PRO (5-shot)
      type: TIGER-Lab/MMLU-Pro
      config: main
      split: test
      args:
        num_few_shot: 5
    metrics:
    - type: acc
      value: 46.3
      name: accuracy
    source:
      url: https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=wanlige/li-14b-v0.4
      name: Open LLM Leaderboard
---
> [!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).

![世纪开元](./sjky.png)

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。

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。

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。









# merge

This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).

## Merge Details
### Merge Method

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.

### Models Merged

The following models were included in the merge:
* [Qwen/Qwen2.5-Coder-14B](https://huggingface.co./Qwen/Qwen2.5-Coder-14B)
* [deepseek-ai/DeepSeek-R1-Distill-Qwen-14B](https://huggingface.co./deepseek-ai/DeepSeek-R1-Distill-Qwen-14B)
* [huihui-ai/DeepSeek-R1-Distill-Qwen-14B-abliterated-v2](https://huggingface.co./huihui-ai/DeepSeek-R1-Distill-Qwen-14B-abliterated-v2)
* [tanliboy/lambda-qwen2.5-14b-dpo-test](https://huggingface.co./tanliboy/lambda-qwen2.5-14b-dpo-test)
* [SicariusSicariiStuff/Impish_QWEN_14B-1M](https://huggingface.co./SicariusSicariiStuff/Impish_QWEN_14B-1M)
* [Qwen/Qwen2.5-14B](https://huggingface.co./Qwen/Qwen2.5-14B)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:
  - model: deepseek-ai/DeepSeek-R1-Distill-Qwen-14B #logic
  - model: huihui-ai/DeepSeek-R1-Distill-Qwen-14B-abliterated-v2 #uncensored
  - model: Qwen/Qwen2.5-14B #text generation
  - model: Qwen/Qwen2.5-14B-Instruct #chat assistant
  - model: Qwen/Qwen2.5-Coder-14B #coding
  - model: SicariusSicariiStuff/Impish_QWEN_14B-1M #math
  - model: tanliboy/lambda-qwen2.5-14b-dpo-test #dpo
merge_method: model_stock
base_model: Qwen/Qwen2.5-14B-Instruct
normalize: true
int8_mask: true
dtype: bfloat16

```

# [Open LLM Leaderboard Evaluation Results](https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard)
Detailed results can be found [here](https://huggingface.co./datasets/open-llm-leaderboard/wanlige__li-14b-v0.4-details)

|      Metric       |Value|
|-------------------|----:|
|Avg.               |43.66|
|IFEval (0-Shot)    |81.33|
|BBH (3-Shot)       |50.38|
|MATH Lvl 5 (4-Shot)|55.74|
|GPQA (0-shot)      |11.86|
|MuSR (0-shot)      |16.35|
|MMLU-PRO (5-shot)  |46.30|