---
license: apache-2.0
library_name: transformers
tags:
- mergekit
- merge
base_model:
- huihui-ai/Qwen2.5-1.5B-Instruct-abliterated
- EVA-UNIT-01/EVA-Qwen2.5-1.5B-v0.0
- Spestly/Athena-1-1.5B
model-index:
- name: Minerva-1.5b_V0.2
  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: 30.83
      name: strict accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/Minerva-1.5b_V0.2
      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: 14.99
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/Minerva-1.5b_V0.2
      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: 9.97
      name: exact match
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/Minerva-1.5b_V0.2
      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: 4.7
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/Minerva-1.5b_V0.2
      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: 6.97
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/Minerva-1.5b_V0.2
      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: 21.23
      name: accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/Minerva-1.5b_V0.2
      name: Open LLM Leaderboard
---
# Merge

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

## Merge Details

Quant: https://huggingface.co/Triangle104/Minerva-1.5b_V0.2-Q4_K_M-GGUF

### Merge Method

This model was merged using the [TIES](https://arxiv.org/abs/2306.01708) merge method using [Spestly/Athena-1-1.5B](https://huggingface.co/Spestly/Athena-1-1.5B) as a base.

### Models Merged

The following models were included in the merge:
* [huihui-ai/Qwen2.5-1.5B-Instruct-abliterated](https://huggingface.co/huihui-ai/Qwen2.5-1.5B-Instruct-abliterated)
* [EVA-UNIT-01/EVA-Qwen2.5-1.5B-v0.0](https://huggingface.co/EVA-UNIT-01/EVA-Qwen2.5-1.5B-v0.0)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:
  - model: Spestly/Athena-1-1.5B
    #no parameters necessary for base model
  - model: EVA-UNIT-01/EVA-Qwen2.5-1.5B-v0.0
    parameters:
      density: 0.5
      weight: 0.5
  - model: huihui-ai/Qwen2.5-1.5B-Instruct-abliterated
    parameters:
      density: 0.5
      weight: 0.5

merge_method: ties
base_model: Spestly/Athena-1-1.5B
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__Minerva-1.5b_V0.2-details)

|      Metric       |Value|
|-------------------|----:|
|Avg.               |14.78|
|IFEval (0-Shot)    |30.83|
|BBH (3-Shot)       |14.99|
|MATH Lvl 5 (4-Shot)| 9.97|
|GPQA (0-shot)      | 4.70|
|MuSR (0-shot)      | 6.97|
|MMLU-PRO (5-shot)  |21.23|