README.md

---
license: cc-by-nc-4.0
library_name: transformers
tags:
- mergekit
- merge
- alpaca
- mistral
- not-for-all-audiences
- nsfw
model-index:
- name: IceDrinkNameGoesHereRP-7b-Model_Stock
  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: 49.71
      name: strict accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=icefog72/IceDrinkNameGoesHereRP-7b-Model_Stock
      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: 28.61
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=icefog72/IceDrinkNameGoesHereRP-7b-Model_Stock
      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: 4.0
      name: exact match
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=icefog72/IceDrinkNameGoesHereRP-7b-Model_Stock
      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: 0.78
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=icefog72/IceDrinkNameGoesHereRP-7b-Model_Stock
      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: 11.44
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=icefog72/IceDrinkNameGoesHereRP-7b-Model_Stock
      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: 21.38
      name: accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=icefog72/IceDrinkNameGoesHereRP-7b-Model_Stock
      name: Open LLM Leaderboard
---
# IceDrinkNameGoesHereRP-7b-Model_Stock

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

## Updates:
14.09.24 : "rope_theta": 1000000 -> 40000.0

### Merge Method

This model was merged using the [Model Stock](https://arxiv.org/abs/2403.19522) merge method using mistralai\Mistral-7B-Instruct-v0.2 as a base.

### Models Merged

The following models were included in the merge:

* icefog72\IceSomeDrinkNameHereRP-7b-Della
* icefog72\IceTea21EnergyDrinkRPV13-DPOv3.5

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:
- model: mistralai\Mistral-7B-Instruct-v0.2
- model: icefog72\IceTea21EnergyDrinkRPV13-DPOv3.5
- model: icefog72\IceSomeDrinkNameHereRP-7b-Della
merge_method: model_stock
base_model: icefog72\Mistral-7B-Instruct-v0.2
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/details_icefog72__IceDrinkNameGoesHereRP-7b-Model_Stock)

|      Metric       |Value|
|-------------------|----:|
|Avg.               |19.32|
|IFEval (0-Shot)    |49.71|
|BBH (3-Shot)       |28.61|
|MATH Lvl 5 (4-Shot)| 4.00|
|GPQA (0-shot)      | 0.78|
|MuSR (0-shot)      |11.44|
|MMLU-PRO (5-shot)  |21.38|