metadata
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.
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:
Configuration
The following YAML configuration was used to produce this model:
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
Detailed results can be found here
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 |