Resolving Interference When Merging Models
Paper • 2306.01708 • Published • 18
This is quantized version of BenevolenceMessiah/Qwen2.5-Coder-7B-3x-Instruct-TIES-v1.0 created using llama.cpp
This is a merge of pre-trained language models created using mergekit.
This model was merged using the TIES merge method using Qwen/Qwen2.5-Coder-7B as a base.
The following models were included in the merge:
The following YAML configuration was used to produce this model:
models:
- model: huihui-ai/Qwen2.5-Coder-7B-Instruct-abliterated
architecture: qwen2
parameters:
density: 1.0
weight: 1.0
- model: MadeAgents/Hammer2.0-7b
architecture: qwen2
parameters:
density: 1.0
weight: 1.0
- model: Etherll/Qwen2.5-Coder-7B-Instruct-Ties
architecture: qwen2
parameters:
density: 1.0
weight: 1.0
merge_method: ties
base_model: Qwen/Qwen2.5-Coder-7B
parameters:
normalize: true
int8_mask: false
dtype: bfloat16
tokenizer_source: union
2-bit
3-bit
4-bit
5-bit
6-bit
8-bit