README.md

---
license: apache-2.0
library_name: transformers
tags:
- mergekit
- merge
base_model:
- huihui-ai/DeepSeek-R1-Distill-Qwen-14B-abliterated-v2
- deepseek-ai/DeepSeek-R1-Distill-Qwen-14B
model-index:
- name: DS-R1-Distill-Q2.5-14B-Harmony_V0.1
  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: 45.15
      name: strict accuracy
    source:
      url: https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/DS-R1-Distill-Q2.5-14B-Harmony_V0.1
      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: 38.72
      name: normalized accuracy
    source:
      url: https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/DS-R1-Distill-Q2.5-14B-Harmony_V0.1
      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: 39.5
      name: exact match
    source:
      url: https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/DS-R1-Distill-Q2.5-14B-Harmony_V0.1
      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: 19.13
      name: acc_norm
    source:
      url: https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/DS-R1-Distill-Q2.5-14B-Harmony_V0.1
      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: 31.92
      name: acc_norm
    source:
      url: https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/DS-R1-Distill-Q2.5-14B-Harmony_V0.1
      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: 40.01
      name: accuracy
    source:
      url: https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/DS-R1-Distill-Q2.5-14B-Harmony_V0.1
      name: Open LLM Leaderboard
---
# merge

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


### Merge Method

This model was merged using the [SLERP](https://en.wikipedia.org/wiki/Slerp) merge method.

### Models Merged

The following models were included in the merge:
* [huihui-ai/DeepSeek-R1-Distill-Qwen-14B-abliterated-v2](https://huggingface.co./huihui-ai/DeepSeek-R1-Distill-Qwen-14B-abliterated-v2)
* [deepseek-ai/DeepSeek-R1-Distill-Qwen-14B](https://huggingface.co./deepseek-ai/DeepSeek-R1-Distill-Qwen-14B)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:
  - model: huihui-ai/DeepSeek-R1-Distill-Qwen-14B-abliterated-v2
  - model: deepseek-ai/DeepSeek-R1-Distill-Qwen-14B
merge_method: slerp
base_model: deepseek-ai/DeepSeek-R1-Distill-Qwen-14B
dtype: bfloat16
parameters:
  t: [0, 0.5, 0.7, 1, 0.7, 0.5, 0]
```
# [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/Triangle104__DS-R1-Distill-Q2.5-14B-Harmony_V0.1-details)

|      Metric       |Value|
|-------------------|----:|
|Avg.               |35.74|
|IFEval (0-Shot)    |45.15|
|BBH (3-Shot)       |38.72|
|MATH Lvl 5 (4-Shot)|39.50|
|GPQA (0-shot)      |19.13|
|MuSR (0-shot)      |31.92|
|MMLU-PRO (5-shot)  |40.01|