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---
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).<
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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。
# 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|
|