Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time
Paper • 2203.05482 • Published • 8
Quantized GGUF model merged-Qwen-Qwen2.5-0.5B-Instruct-Qwen-Qwen2.5-0.5B
This model has been quantized using llama-quantize from llama.cpp
merged-Qwen-Qwen2.5-0.5B-Instruct-Qwen-Qwen2.5-0.5B
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the Linear merge method.
Models Merged
The following models were included in the merge:
Configuration
The following YAML configuration was used to produce this model:
models:
- model: Qwen/Qwen2.5-0.5B-Instruct
parameters:
weight: 0.6
- model: Qwen/Qwen2.5-0.5B
parameters:
weight: 0.4
merge_method: linear
parameters:
normalize: true
dtype: bfloat16
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