---
license: cc-by-nc-4.0
library_name: transformers
tags:
- mergekit
- merge
- alpaca
- mistral
- not-for-all-audiences
- nsfw
model-index:
- name: IceSakeV6RP-7b
  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: 50.33
      name: strict accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=icefog72/IceSakeV6RP-7b
      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: 30.39
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=icefog72/IceSakeV6RP-7b
      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: 5.66
      name: exact match
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=icefog72/IceSakeV6RP-7b
      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: 5.48
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=icefog72/IceSakeV6RP-7b
      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: 11.63
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=icefog72/IceSakeV6RP-7b
      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: 23.26
      name: accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=icefog72/IceSakeV6RP-7b
      name: Open LLM Leaderboard
---
# IceSakeV6RP-7b

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

## Merge Details
> This is model only for merges!

### Merge Method

This model was merged using the [TIES](https://arxiv.org/abs/2306.01708) merge method using G:\FModels\Mistroll-7B-v2.2 as a base.

### Models Merged

The following models were included in the merge:
* IceCoffeeRP-7b
* kuno-royale-v3-7b
* IceSakeV4RP-7b
  * IceSakeV2RP-7b
  * IceSakeV3RP-7b
    * coven_7b_128k_orpo_alpha
    * IceSakeV2RP-7b
      * OmniBeagle-7B_StrangeMerges_44
      * IceSakeV0RP-7b

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:
  - model: H:\FModels\kuno-royale-v3-7b
    parameters:
      density: 0.8
      weight: 0.5
  - model: G:\FModels\IceSakeV4RP-7b
    parameters:
      density: 0.5
      weight: 0.5
  - model: F:\FModels\IceCoffeeRP-7b
    parameters:
      density: 0.5
      weight: 0.7
merge_method: ties
base_model: G:\FModels\Mistroll-7B-v2.2
parameters:
  normalize: true
  int8_mask: true
dtype: float16

```

# [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__IceSakeV6RP-7b)

|      Metric       |Value|
|-------------------|----:|
|Avg.               |21.13|
|IFEval (0-Shot)    |50.33|
|BBH (3-Shot)       |30.39|
|MATH Lvl 5 (4-Shot)| 5.66|
|GPQA (0-shot)      | 5.48|
|MuSR (0-shot)      |11.63|
|MMLU-PRO (5-shot)  |23.26|