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Adding Evaluation Results (#1)
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---
library_name: transformers
tags:
- mergekit
- merge
base_model:
- bunnycore/Phi-4-Stock-RP
- Pinkstack/SuperThoughts-CoT-14B-16k-o1-QwQ
- unsloth/phi-4
- bunnycore/Phi-4-Stock-RP
- bunnycore/Phi-4-RP-lora_model
- bunnycore/Phi-4-Stock-Ex
model-index:
- name: Phi-4-Model-Stock-v2
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: 63.75
name: strict accuracy
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Phi-4-Model-Stock-v2
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: 54.69
name: normalized accuracy
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Phi-4-Model-Stock-v2
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: 35.88
name: exact match
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Phi-4-Model-Stock-v2
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: 13.2
name: acc_norm
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Phi-4-Model-Stock-v2
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: 17.57
name: acc_norm
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Phi-4-Model-Stock-v2
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: 48.12
name: accuracy
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Phi-4-Model-Stock-v2
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 [unsloth/phi-4](https://huggingface.co/unsloth/phi-4) as a base.
### Models Merged
The following models were included in the merge:
* [bunnycore/Phi-4-Stock-RP](https://huggingface.co/bunnycore/Phi-4-Stock-RP)
* [Pinkstack/SuperThoughts-CoT-14B-16k-o1-QwQ](https://huggingface.co/Pinkstack/SuperThoughts-CoT-14B-16k-o1-QwQ)
* [bunnycore/Phi-4-Stock-RP](https://huggingface.co/bunnycore/Phi-4-Stock-RP) + [bunnycore/Phi-4-RP-lora_model](https://huggingface.co/bunnycore/Phi-4-RP-lora_model)
* [bunnycore/Phi-4-Stock-Ex](https://huggingface.co/bunnycore/Phi-4-Stock-Ex)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
models:
- model: bunnycore/Phi-4-Stock-RP+bunnycore/Phi-4-RP-lora_model
- model: bunnycore/Phi-4-Stock-Ex
- model: Pinkstack/SuperThoughts-CoT-14B-16k-o1-QwQ
- model: bunnycore/Phi-4-Stock-RP
base_model: unsloth/phi-4
merge_method: model_stock
parameters:
normalize: true
dtype: bfloat16
tokenizer_source: unsloth/phi-4
```
# [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__Phi-4-Model-Stock-v2-details)
| Metric |Value|
|-------------------|----:|
|Avg. |38.87|
|IFEval (0-Shot) |63.75|
|BBH (3-Shot) |54.69|
|MATH Lvl 5 (4-Shot)|35.88|
|GPQA (0-shot) |13.20|
|MuSR (0-shot) |17.57|
|MMLU-PRO (5-shot) |48.12|