README.md

---
library_name: transformers
tags:
- mergekit
- merge
base_model:
- djuna-test-lab/TEST-L3.2-3B-ReWish-8B
- unsloth/Llama-3.2-3B
model-index:
- name: TEST-L3.2-ReWish-3B-ties-w-base
  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: 63.53
      name: strict accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=djuna-test-lab/TEST-L3.2-ReWish-3B-ties-w-base
      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: 22.07
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=djuna-test-lab/TEST-L3.2-ReWish-3B-ties-w-base
      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: 12.92
      name: exact match
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=djuna-test-lab/TEST-L3.2-ReWish-3B-ties-w-base
      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: 4.47
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=djuna-test-lab/TEST-L3.2-ReWish-3B-ties-w-base
      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: 7.92
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=djuna-test-lab/TEST-L3.2-ReWish-3B-ties-w-base
      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: 23.62
      name: accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=djuna-test-lab/TEST-L3.2-ReWish-3B-ties-w-base
      name: Open LLM Leaderboard
---
# merge

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 [TIES](https://arxiv.org/abs/2306.01708) merge method using [unsloth/Llama-3.2-3B](https://huggingface.co/unsloth/Llama-3.2-3B) as a base.

### Models Merged

The following models were included in the merge:
* [djuna-test-lab/TEST-L3.2-3B-ReWish-8B](https://huggingface.co/djuna-test-lab/TEST-L3.2-3B-ReWish-8B)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:
  - model: unsloth/Llama-3.2-3B
  - model: djuna-test-lab/TEST-L3.2-3B-ReWish-8B
    parameters:
      weight: 1
  - model: djuna-test-lab/TEST-L3.2-3B-ReWish-8B
    parameters:
      weight: 1
merge_method: ties
base_model: unsloth/Llama-3.2-3B
tokenizer_source: djuna-test-lab/TEST-L3.2-3B-ReWish-8B
parameters:
  density: 1
  normalize: true
  int8_mask: true
dtype: float32
```

# [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_djuna-test-lab__TEST-L3.2-ReWish-3B-ties-w-base)

|      Metric       |Value|
|-------------------|----:|
|Avg.               |22.42|
|IFEval (0-Shot)    |63.53|
|BBH (3-Shot)       |22.07|
|MATH Lvl 5 (4-Shot)|12.92|
|GPQA (0-shot)      | 4.47|
|MuSR (0-shot)      | 7.92|
|MMLU-PRO (5-shot)  |23.62|