README.md

---
language:
- en
- zh
license: apache-2.0
base_model:
- sthenno/tempesthenno-icy-0130
metrics:
- accuracy
model-index:
- name: tempesthenno-kto-0205-ckpt80
  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: 62.18
      name: strict accuracy
    source:
      url: https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=sthenno/tempesthenno-kto-0205-ckpt80
      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: 50.1
      name: normalized accuracy
    source:
      url: https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=sthenno/tempesthenno-kto-0205-ckpt80
      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: 37.99
      name: exact match
    source:
      url: https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=sthenno/tempesthenno-kto-0205-ckpt80
      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: 19.69
      name: acc_norm
    source:
      url: https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=sthenno/tempesthenno-kto-0205-ckpt80
      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: 19.84
      name: acc_norm
    source:
      url: https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=sthenno/tempesthenno-kto-0205-ckpt80
      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: 48.65
      name: accuracy
    source:
      url: https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=sthenno/tempesthenno-kto-0205-ckpt80
      name: Open LLM Leaderboard
---

sthenno/tempesthenno-kto-0205-ckpt80

update: now checking for evaluations without chat templates

# tempesthenno-icy-0130

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 [SCE](https://arxiv.org/abs/2408.07990) merge method using sthenno/tempesthenno-nuslerp-0124 as a base.

### Models Merged

The following models were included in the merge:
* sthenno/tempesthenno-icy-0130-01
* sthenno/tempesthenno-icy-0130-02
* sthenno/tempesthenno-icy-0130-03

### Configuration

The following YAML configuration was used to produce this model:

```yaml
name: tempesthenno-icy-0130
merge_method: sce
parameters:
  select_topk: 0.8
  normalize: true
dtype: float32
out_dtype: bfloat16
base_model: sthenno/tempesthenno-nuslerp-0124
tokenizer:
  source: base
chat_template: chatml
models:
  - model: sthenno/tempesthenno-icy-0130-01
  - model: sthenno/tempesthenno-icy-0130-02
  - model: sthenno/tempesthenno-icy-0130-03
```
# [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/sthenno__tempesthenno-kto-0205-ckpt80-details)

|      Metric       |Value|
|-------------------|----:|
|Avg.               |39.74|
|IFEval (0-Shot)    |62.18|
|BBH (3-Shot)       |50.10|
|MATH Lvl 5 (4-Shot)|37.99|
|GPQA (0-shot)      |19.69|
|MuSR (0-shot)      |19.84|
|MMLU-PRO (5-shot)  |48.65|