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---
library_name: transformers
tags:
- mergekit
- merge
base_model:
- ZeroXClem/Qwen2.5-7B-HomerAnvita-NerdMix
- ZeroXClem/Qwen2.5-7B-HomerCreative-Mix
model-index:
- name: HomerCreativeAnvita-Mix-Qw7B
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: 78.08
name: strict accuracy
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=suayptalha/HomerCreativeAnvita-Mix-Qw7B
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: 36.98
name: normalized accuracy
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=suayptalha/HomerCreativeAnvita-Mix-Qw7B
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: 31.04
name: exact match
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=suayptalha/HomerCreativeAnvita-Mix-Qw7B
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: 8.61
name: acc_norm
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=suayptalha/HomerCreativeAnvita-Mix-Qw7B
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: 14.73
name: acc_norm
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=suayptalha/HomerCreativeAnvita-Mix-Qw7B
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: 38.28
name: accuracy
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=suayptalha/HomerCreativeAnvita-Mix-Qw7B
name: Open LLM Leaderboard
---
# Merged Model
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
This model is currently ranked #1 on the Open LLM Leaderboard among models up to 13B parameters!
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [ZeroXClem/Qwen2.5-7B-HomerAnvita-NerdMix](https://huggingface.co/ZeroXClem/Qwen2.5-7B-HomerAnvita-NerdMix)
* [ZeroXClem/Qwen2.5-7B-HomerCreative-Mix](https://huggingface.co/ZeroXClem/Qwen2.5-7B-HomerCreative-Mix)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
base_model: ZeroXClem/Qwen2.5-7B-HomerCreative-Mix
dtype: bfloat16
merge_method: slerp
parameters:
t:
- filter: self_attn
value: [0.0, 0.5, 0.3, 0.7, 1.0]
- filter: mlp
value: [1.0, 0.5, 0.7, 0.3, 0.0]
- value: 0.5
slices:
- sources:
- layer_range: [0, 28]
model: ZeroXClem/Qwen2.5-7B-HomerCreative-Mix
- layer_range: [0, 28]
model: ZeroXClem/Qwen2.5-7B-HomerAnvita-NerdMix
```
# [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/details_suayptalha__HomerCreativeAnvita-Mix-Qw7B)
| Metric |Value|
|-------------------|----:|
|Avg. |34.62|
|IFEval (0-Shot) |78.08|
|BBH (3-Shot) |36.98|
|MATH Lvl 5 (4-Shot)|31.04|
|GPQA (0-shot) | 8.61|
|MuSR (0-shot) |14.73|
|MMLU-PRO (5-shot) |38.28|
|