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v000000/
Qwen2.5-14B-Gutenberg-Instruct-Slerpeno

Name: Qwen2.5-14B-Gutenberg-Instruct-Slerpeno
Availability: InStock

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Qwen2.5-14B-Gutenberg-Instruct-Slerpeno

GGUF from mradermacher!

GGUF from QuantFactory!

GGUF static

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:

yaml

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

v000000/Qwen2.5-14B-Gutenberg-Instruct-Slerpeno