Qwen2.5-14B-Gutenberg-Instruct-Slerpeno
GGUF from mradermacher!
GGUF from QuantFactory!
merge
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the SLERP merge method. (sophosympatheia gradient)
Models Merged
The following models were included in the merge:
Configuration
The following YAML configuration was used to produce this model:
models:
- model: Qwen/Qwen2.5-14B-Instruct
merge_method: slerp
base_model: v000000/Qwen2.5-14B-Gutenberg-1e-Delta
parameters:
t:
- value: [0, 0, 0.3, 0.4, 0.5, 0.6, 0.5, 0.4, 0.3, 0, 0]
dtype: bfloat16
The idea here is that Gutenberg DPO stays in the output/input 100% while merging smoothly with the base instruct model in the deeper layers to heal loss and increase intelligence.
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 33.39 |
| IFEval (0-Shot) | 48.55 |
| BBH (3-Shot) | 49.74 |
| MATH Lvl 5 (4-Shot) | 19.71 |
| GPQA (0-shot) | 15.21 |
| MuSR (0-shot) | 18.43 |
| MMLU-PRO (5-shot) | 48.68 |