merge
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the Model Stock merge method using Qwen/Qwen2.5-7B as a base.
Models Merged
The following models were included in the merge:
Configuration
The following YAML configuration was used to produce this model:
models:
- model: rombodawg/Rombos-LLM-V2.5-Qwen-7b
- model: fblgit/cybertron-v4-qw7B-MGS
- model: sethuiyer/Qwen2.5-7B-Anvita
merge_method: model_stock
base_model: Qwen/Qwen2.5-7B
parameters:
normalize: false
int8_mask: true
dtype: float16
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 30.75 |
| IFEval (0-Shot) | 69.62 |
| BBH (3-Shot) | 36.18 |
| MATH Lvl 5 (4-Shot) | 19.94 |
| GPQA (0-shot) | 7.27 |
| MuSR (0-shot) | 12.95 |
| MMLU-PRO (5-shot) | 38.53 |
- Downloads last month
- 38
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.
Model tree for bunnycore/Qwen2.5-7B-Instruct-Fusion
Merge model
this model
Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard69.620
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard36.180
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard19.940
- acc_norm on GPQA (0-shot)Open LLM Leaderboard7.270
- acc_norm on MuSR (0-shot)Open LLM Leaderboard12.950
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard38.530