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wassemgtk/mergekit-ties-isswcgh
mergekit-ties-isswcgh is a text generation model from wassemgtk. Use it when you need the model to write or continue text. It is set up for transformers.
This is a merge of pre-trained language models created using mergekit.
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From the Hugging Face model README
This is a merge of pre-trained language models created using mergekit.
This model was merged using the TIES merge method using deepcogito/cogito-v1-preview-qwen-14B as a base.
The following models were included in the merge:
The following YAML configuration was used to produce this model:
merge_method: ties
base_model: deepcogito/cogito-v1-preview-qwen-14B # Or Qwen2.5, experiment maybe
dtype: bfloat16 # Or float16 if bf16 not well supported
models:
- model: deepcogito/cogito-v1-preview-qwen-14B
# Parameters for TIES - density controls sparsity, weight influences importance
parameters:
density: 0.6 # Start around 0.5-0.7, higher keeps more parameters
weight: 0.6 # Slightly favor cogito for performance
- model: Qwen/Qwen2.5-14B-Instruct-1M
parameters:
density: 0.6 # Keep density consistent usually
weight: 0.4 # Give less weight but allow its parameters to win conflicts where strong