Resolving Interference When Merging Models
Paper
•
2306.01708
•
Published
•
15
This is a merge of pre-trained language models created using mergekit.
This model was merged using the TIES merge method using Rombo-Org/Rombo-LLM-V3.0-Qwen-32b as a base.
The following models were included in the merge:
The following YAML configuration was used to produce this model:
models:
- model: ./merged-qwen
parameters:
weight: 1
density: 1
merge_method: ties
base_model: Rombo-Org/Rombo-LLM-V3.0-Qwen-32b
parameters:
weight: 1
density: 1
normalize: true
int8_mask: false
dtype: bfloat16
tokenizer_source: ./merged-qwen
# tokenizer:
# source: union
# tokens:
# <think>:
# source: ./qwen2.5-coder-7b-lora-checkpoints/final
# force: true
# </think>:
# source: ./qwen2.5-coder-7b-lora-checkpoints/final
# force: true
# <fim_pad>:
# source: ./qwen2.5-coder-7b-lora-checkpoints/final
Base model
Qwen/Qwen2.5-32B