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Adding Evaluation Results (#2)
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---
library_name: transformers
tags:
- mergekit
- merge
base_model:
- Qwen/Qwen2.5-7B-Instruct
- bunnycore/Qwen-2.5-7B-R1-Stock
- Xiaojian9992024/Qwen2.5-Dyanka-7B-Preview
- suayptalha/Clarus-7B-v0.3
- bunnycore/Qwen-2.5-7b-s1k-lora_model
- Xiaojian9992024/Qwen2.5-Dyanka-7B-Preview
- bunnycore/Qwen-2.5-7b-s1k-lora_model
- bunnycore/QandoraExp-7B
model-index:
- name: Qwen2.5-7B-Instruct-Merge-Stock-v0.1
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: 75.09
name: strict accuracy
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Qwen2.5-7B-Instruct-Merge-Stock-v0.1
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: 36.4
name: normalized accuracy
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Qwen2.5-7B-Instruct-Merge-Stock-v0.1
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: 48.94
name: exact match
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Qwen2.5-7B-Instruct-Merge-Stock-v0.1
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: 7.16
name: acc_norm
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Qwen2.5-7B-Instruct-Merge-Stock-v0.1
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: 11.69
name: acc_norm
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Qwen2.5-7B-Instruct-Merge-Stock-v0.1
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: 37.59
name: accuracy
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Qwen2.5-7B-Instruct-Merge-Stock-v0.1
name: Open LLM Leaderboard
---
## Thinking Mode:
```
Think about the reasoning process in the mind first, then provide the answer.
The reasoning process should be wrapped within <think> </think> tags, then provide the answer after that, i.e., <think> reasoning process here </think> answer.
```
### 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) as a base.
### Models Merged
The following models were included in the merge:
* [bunnycore/Qwen-2.5-7B-R1-Stock](https://huggingface.co/bunnycore/Qwen-2.5-7B-R1-Stock)
* [Xiaojian9992024/Qwen2.5-Dyanka-7B-Preview](https://huggingface.co/Xiaojian9992024/Qwen2.5-Dyanka-7B-Preview)
* [suayptalha/Clarus-7B-v0.3](https://huggingface.co/suayptalha/Clarus-7B-v0.3) + [bunnycore/Qwen-2.5-7b-s1k-lora_model](https://huggingface.co/bunnycore/Qwen-2.5-7b-s1k-lora_model)
* [Xiaojian9992024/Qwen2.5-Dyanka-7B-Preview](https://huggingface.co/Xiaojian9992024/Qwen2.5-Dyanka-7B-Preview) + [bunnycore/Qwen-2.5-7b-s1k-lora_model](https://huggingface.co/bunnycore/Qwen-2.5-7b-s1k-lora_model)
* [bunnycore/QandoraExp-7B](https://huggingface.co/bunnycore/QandoraExp-7B)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
models:
- model: Xiaojian9992024/Qwen2.5-Dyanka-7B-Preview+bunnycore/Qwen-2.5-7b-s1k-lora_model
parameters:
weight: 0.5
- model: bunnycore/QandoraExp-7B
- model: bunnycore/Qwen-2.5-7B-R1-Stock
- model: Xiaojian9992024/Qwen2.5-Dyanka-7B-Preview
- model: suayptalha/Clarus-7B-v0.3+bunnycore/Qwen-2.5-7b-s1k-lora_model
base_model: Qwen/Qwen2.5-7B-Instruct
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__Qwen2.5-7B-Instruct-Merge-Stock-v0.1-details)
| Metric |Value|
|-------------------|----:|
|Avg. |36.14|
|IFEval (0-Shot) |75.09|
|BBH (3-Shot) |36.40|
|MATH Lvl 5 (4-Shot)|48.94|
|GPQA (0-shot) | 7.16|
|MuSR (0-shot) |11.69|
|MMLU-PRO (5-shot) |37.59|