README.md

---
license: apache-2.0
library_name: transformers
tags:
- mergekit
- merge
base_model:
- mistralai/Mistral-Small-24B-Base-2501
- mistralai/Mistral-Small-24B-Instruct-2501
model-index:
- name: Mistral-Small-24b-Harmony
  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: 16.87
      name: strict accuracy
    source:
      url: https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/Mistral-Small-24b-Harmony
      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: 48.42
      name: normalized accuracy
    source:
      url: https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/Mistral-Small-24b-Harmony
      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: 19.11
      name: exact match
    source:
      url: https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/Mistral-Small-24b-Harmony
      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: 17.9
      name: acc_norm
    source:
      url: https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/Mistral-Small-24b-Harmony
      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: 11.48
      name: acc_norm
    source:
      url: https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/Mistral-Small-24b-Harmony
      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: 49.23
      name: accuracy
    source:
      url: https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/Mistral-Small-24b-Harmony
      name: Open LLM Leaderboard
---
# Merge

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

## Merge Details

Merging Mistral-Small-24B Base and Instruct models together to try and create... Harmony?

Quant: https://huggingface.co./Triangle104/Mistral-Small-24b-Harmony-Q4_K_S-GGUF

### Merge Method

This model was merged using the [TIES](https://arxiv.org/abs/2306.01708) merge method using [mistralai/Mistral-Small-24B-Instruct-2501](https://huggingface.co./mistralai/Mistral-Small-24B-Instruct-2501) as a base.

### Models Merged

The following models were included in the merge:
* [mistralai/Mistral-Small-24B-Base-2501](https://huggingface.co./mistralai/Mistral-Small-24B-Base-2501)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:
  - model: mistralai/Mistral-Small-24B-Base-2501
    parameters:
      density: 1
      weight: 1
  - model: mistralai/Mistral-Small-24B-Instruct-2501
    parameters:
      density: 1
      weight: 1

merge_method: ties
base_model: mistralai/Mistral-Small-24B-Instruct-2501
parameters:
  normalize: false
  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/Triangle104__Mistral-Small-24b-Harmony-details)

|      Metric       |Value|
|-------------------|----:|
|Avg.               |27.17|
|IFEval (0-Shot)    |16.87|
|BBH (3-Shot)       |48.42|
|MATH Lvl 5 (4-Shot)|19.11|
|GPQA (0-shot)      |17.90|
|MuSR (0-shot)      |11.48|
|MMLU-PRO (5-shot)  |49.23|