README.md

metadata

base_model:
  - v000000/Qwen2.5-14B-Gutenberg-1e-Delta
  - Qwen/Qwen2.5-14B-Instruct
library_name: transformers
tags:
  - mergekit
  - merge
  - qwen2
  - qwen2.5
  - dpo
license: apache-2.0
datasets:
  - jondurbin/gutenberg-dpo-v0.1

QuantFactory/Qwen2.5-14B-Gutenberg-Instruct-Slerpeno-GGUF

This is quantized version of v000000/Qwen2.5-14B-Gutenberg-Instruct-Slerpeno created using llama.cpp

Original Model Card

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

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GGUF from mradermacher!

• GGUF static

• GGUF Imatrix

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:

• v000000/Qwen2.5-14B-Gutenberg-1e-Delta
• Qwen/Qwen2.5-14B-Instruct

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.