merged_model_config2

This model is created by merging two pre-trained language models using mergekit and then applying lora weights of base orpheus model finetuned on a custom dataset.

Merge Details

Merge Method

This model was merged using the SLERP merge method.

Models Merged

The following models were included in the merge:

  • canopylabs/orpheus-3b-0.1-ft
  • canopylabs/3b-hi-ft-research_release

Configuration

The following YAML configuration was used to produce this model:

merge_method: slerp
base_model: canopylabs/orpheus-3b-0.1-ft
slices:
  - sources:
      - model: canopylabs/orpheus-3b-0.1-ft
        layer_range: [0, 28]
      - model: canopylabs/3b-hi-ft-research_release
        layer_range: [0, 28]
parameters:
  t: 0.5  
dtype: bfloat16
Downloads last month
10
Safetensors
Model size
4B params
Tensor type
BF16
·
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support