---
library_name: transformers
tags:
- mergekit
- merge
base_model:
- gz987/qwen2.5-7b-cabs-v0.3
- ngxson/LoRA-Qwen2.5-7B-Instruct-abliterated-v3
- bunnycore/Qwen2.5-7B-Instruct-Merge-Stock-v0.1
- Xiaojian9992024/Qwen2.5-Dyanka-7B-Preview
- Qwen/Qwen2.5-7B-Instruct
- bunnycore/Qwen-2.5-7b-s1k-lora_model
- gz987/qwen2.5-7b-cabs-v0.3
- bunnycore/Qwen-2.5-7b-rp-lora
- Qwen/Qwen2.5-7B-Instruct
- ngxson/LoRA-Qwen2.5-7B-Instruct-abliterated-v3
model-index:
- name: Blabbertron-1.0
  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: 74.33
      name: strict accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Blabbertron-1.0
      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: 36.05
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Blabbertron-1.0
      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: 49.24
      name: exact match
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Blabbertron-1.0
      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: 6.94
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Blabbertron-1.0
      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: 13.51
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Blabbertron-1.0
      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: 37.27
      name: accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Blabbertron-1.0
      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 [Model Stock](https://arxiv.org/abs/2403.19522) merge method using [Qwen/Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct) + [ngxson/LoRA-Qwen2.5-7B-Instruct-abliterated-v3](https://huggingface.co/ngxson/LoRA-Qwen2.5-7B-Instruct-abliterated-v3) as a base.

### Models Merged

The following models were included in the merge:
* [gz987/qwen2.5-7b-cabs-v0.3](https://huggingface.co/gz987/qwen2.5-7b-cabs-v0.3) + [ngxson/LoRA-Qwen2.5-7B-Instruct-abliterated-v3](https://huggingface.co/ngxson/LoRA-Qwen2.5-7B-Instruct-abliterated-v3)
* [bunnycore/Qwen2.5-7B-Instruct-Merge-Stock-v0.1](https://huggingface.co/bunnycore/Qwen2.5-7B-Instruct-Merge-Stock-v0.1)
* [Xiaojian9992024/Qwen2.5-Dyanka-7B-Preview](https://huggingface.co/Xiaojian9992024/Qwen2.5-Dyanka-7B-Preview)
* [Qwen/Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct) + [bunnycore/Qwen-2.5-7b-s1k-lora_model](https://huggingface.co/bunnycore/Qwen-2.5-7b-s1k-lora_model)
* [gz987/qwen2.5-7b-cabs-v0.3](https://huggingface.co/gz987/qwen2.5-7b-cabs-v0.3) + [bunnycore/Qwen-2.5-7b-rp-lora](https://huggingface.co/bunnycore/Qwen-2.5-7b-rp-lora)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:
  - model: Qwen/Qwen2.5-7B-Instruct+bunnycore/Qwen-2.5-7b-s1k-lora_model
    parameters:
      weight: 0.3
  - model: Xiaojian9992024/Qwen2.5-Dyanka-7B-Preview
  - model: bunnycore/Qwen2.5-7B-Instruct-Merge-Stock-v0.1
  - model: gz987/qwen2.5-7b-cabs-v0.3+ngxson/LoRA-Qwen2.5-7B-Instruct-abliterated-v3
  - model: gz987/qwen2.5-7b-cabs-v0.3+bunnycore/Qwen-2.5-7b-rp-lora
base_model: Qwen/Qwen2.5-7B-Instruct+ngxson/LoRA-Qwen2.5-7B-Instruct-abliterated-v3
merge_method: model_stock
parameters:
dtype: bfloat16
tokenizer_source: Qwen/Qwen2.5-7B-Instruct

```

# [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/bunnycore__Blabbertron-1.0-details)

|      Metric       |Value|
|-------------------|----:|
|Avg.               |36.22|
|IFEval (0-Shot)    |74.33|
|BBH (3-Shot)       |36.05|
|MATH Lvl 5 (4-Shot)|49.24|
|GPQA (0-shot)      | 6.94|
|MuSR (0-shot)      |13.51|
|MMLU-PRO (5-shot)  |37.27|