---
library_name: transformers
tags:
- mergekit
- merge
base_model:
- bunnycore/Qwen-2.5-7B-Deep-Stock-v4
- bunnycore/Qwen-2.5-7b-s1k-lora_model
model-index:
- name: Qwen-2.5-7b-S1k
  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: 71.62
      name: strict accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Qwen-2.5-7b-S1k
      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: 36.69
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Qwen-2.5-7b-S1k
      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: 47.81
      name: exact match
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Qwen-2.5-7b-S1k
      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: 4.59
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Qwen-2.5-7b-S1k
      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: 9.26
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Qwen-2.5-7b-S1k
      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: 37.58
      name: accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Qwen-2.5-7b-S1k
      name: Open LLM Leaderboard
---

### System Prompt

```
Think about the reasoning process in the mind first, then provide the answer. The reasoning process should detailed and should be wrapped within <think> </think> tags, then provide the answer after that, i.e., <think> reasoning process here </think> answer here.
```




### Configuration

The following YAML configuration was used to produce this model:

```yaml

base_model: bunnycore/Qwen-2.5-7B-Deep-Stock-v4+bunnycore/Qwen-2.5-7b-s1k-lora_model
dtype: bfloat16
merge_method: passthrough
models:
  - model: bunnycore/Qwen-2.5-7B-Deep-Stock-v4+bunnycore/Qwen-2.5-7b-s1k-lora_model
tokenizer_source: bunnycore/Qwen-2.5-7B-Deep-Stock-v4

```

# [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-S1k-details)

|      Metric       |Value|
|-------------------|----:|
|Avg.               |34.59|
|IFEval (0-Shot)    |71.62|
|BBH (3-Shot)       |36.69|
|MATH Lvl 5 (4-Shot)|47.81|
|GPQA (0-shot)      | 4.59|
|MuSR (0-shot)      | 9.26|
|MMLU-PRO (5-shot)  |37.58|