README.md

---
library_name: transformers
tags:
- mergekit
- merge
base_model:
- ZeroXClem/Qwen-2.5-Aether-SlerpFusion-7B
- bunnycore/Qwen-2.5-7b-rp-lora
- bespokelabs/Bespoke-Stratos-7B
- Sakalti/light-7b-beta
- ZeroXClem/Qwen-2.5-Aether-SlerpFusion-7B
- deepseek-ai/DeepSeek-R1-Distill-Qwen-7B
- fblgit/cybertron-v4-qw7B-MGS
- bunnycore/Qwen-2.5-7b-rp-lora
model-index:
- name: Qwen-2.5-7B-Deep-Stock-v1
  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: 56.95
      name: strict accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Qwen-2.5-7B-Deep-Stock-v1
      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: 34.08
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Qwen-2.5-7B-Deep-Stock-v1
      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: 25.53
      name: exact match
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Qwen-2.5-7B-Deep-Stock-v1
      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: 3.69
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Qwen-2.5-7B-Deep-Stock-v1
      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: 9.96
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Qwen-2.5-7B-Deep-Stock-v1
      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: 34.06
      name: accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Qwen-2.5-7B-Deep-Stock-v1
      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 [ZeroXClem/Qwen-2.5-Aether-SlerpFusion-7B](https://huggingface.co/ZeroXClem/Qwen-2.5-Aether-SlerpFusion-7B) + [bunnycore/Qwen-2.5-7b-rp-lora](https://huggingface.co/bunnycore/Qwen-2.5-7b-rp-lora) as a base.

### Models Merged

The following models were included in the merge:
* [bespokelabs/Bespoke-Stratos-7B](https://huggingface.co/bespokelabs/Bespoke-Stratos-7B)
* [Sakalti/light-7b-beta](https://huggingface.co/Sakalti/light-7b-beta)
* [ZeroXClem/Qwen-2.5-Aether-SlerpFusion-7B](https://huggingface.co/ZeroXClem/Qwen-2.5-Aether-SlerpFusion-7B)
* [deepseek-ai/DeepSeek-R1-Distill-Qwen-7B](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-7B)
* [fblgit/cybertron-v4-qw7B-MGS](https://huggingface.co/fblgit/cybertron-v4-qw7B-MGS) + [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
merge_method:        model_stock
base_model:          ZeroXClem/Qwen-2.5-Aether-SlerpFusion-7B+bunnycore/Qwen-2.5-7b-rp-lora
tokenizer_source:    base
dtype:               float32
out_dtype:           bfloat16
parameters:
  int8_mask:         true
  normalize:         true
  rescale:           false
models:
  - model:           deepseek-ai/DeepSeek-R1-Distill-Qwen-7B
  - model:           ZeroXClem/Qwen-2.5-Aether-SlerpFusion-7B
  - model:           ZeroXClem/Qwen-2.5-Aether-SlerpFusion-7B+bunnycore/Qwen-2.5-7b-rp-lora
  - model:           Sakalti/light-7b-beta
  - model:           fblgit/cybertron-v4-qw7B-MGS+bunnycore/Qwen-2.5-7b-rp-lora
  - model:           bespokelabs/Bespoke-Stratos-7B
```

# [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__Qwen-2.5-7B-Deep-Stock-v1-details)

|      Metric       |Value|
|-------------------|----:|
|Avg.               |27.38|
|IFEval (0-Shot)    |56.95|
|BBH (3-Shot)       |34.08|
|MATH Lvl 5 (4-Shot)|25.53|
|GPQA (0-shot)      | 3.69|
|MuSR (0-shot)      | 9.96|
|MMLU-PRO (5-shot)  |34.06|