caphe

affine-model-5HdchXepaTzbM97fuYqXXjWS955xk1dkJT2ZjasDgwjfvuvd

Merge Details

Merge Method

This model was merged using the Model Breadcrumbs with TIES merge method using vera6/affine-5GmvsbydEDvdhHy6w8JHMCorYyJPiAnvzHWaa8Aj6iTdzzns as a base.

Models Merged

The following models were included in the merge:

Configuration

The following YAML configuration was used to produce this model:

yaml
merge_method: breadcrumbs_ties
base_model: vera6/affine-5GmvsbydEDvdhHy6w8JHMCorYyJPiAnvzHWaa8Aj6iTdzzns
models:
  - model: DuWenJing/affine-model-5CrVf11voFhxLs2nM7LBVUKPfD4gNwYugag4Dmwe8JM423RC
    parameters:
      density: 0.95
      weight: 0.7  # Increased weight for better performance
  - model: OronoCris/affine-83-5ETkv1LSG1sMVBma1oPQUUKPkzmLDHQN7zwf8sWqCQEps3yR
    parameters:
      density: 0.8
      weight: 0.3  # Decreased weight for lower performance
parameters:
  density: 0.92
  gamma: 0.02
dtype: bfloat16

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Model Details

Model Provider

caphe

Model Tree

Base

vera6/affine-5GmvsbydEDvdhHy6w8JHMCorYyJPiAnvzHWaa8Aj6iTdzzns

Base

DuWenJing/affine-model-5CrVf11voFhxLs2nM7LBVUKPfD4gNwYugag4Dmwe8JM423RC

Base

OronoCris/affine-83-5ETkv1LSG1sMVBma1oPQUUKPkzmLDHQN7zwf8sWqCQEps3yR

Merged

this model

Input Modalities

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Output Modalities

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Supported Functionality

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Merge Details

Merge Method

This model was merged using the Model Breadcrumbs with TIES merge method using vera6/affine-5GmvsbydEDvdhHy6w8JHMCorYyJPiAnvzHWaa8Aj6iTdzzns as a base.

Models Merged

The following models were included in the merge:

Configuration

The following YAML configuration was used to produce this model:

yaml
merge_method: breadcrumbs_ties
base_model: vera6/affine-5GmvsbydEDvdhHy6w8JHMCorYyJPiAnvzHWaa8Aj6iTdzzns
models:
  - model: DuWenJing/affine-model-5CrVf11voFhxLs2nM7LBVUKPfD4gNwYugag4Dmwe8JM423RC
    parameters:
      density: 0.95
      weight: 0.7  # Increased weight for better performance
  - model: OronoCris/affine-83-5ETkv1LSG1sMVBma1oPQUUKPkzmLDHQN7zwf8sWqCQEps3yR
    parameters:
      density: 0.8
      weight: 0.3  # Decreased weight for lower performance
parameters:
  density: 0.92
  gamma: 0.02
dtype: bfloat16

affine-model-5HdchXepaTzbM97fuYqXXjWS955xk1dkJT2ZjasDgwjfvuvd

README

Merge Details

Merge Method

Models Merged

Configuration

Explore FriendliAI today

README

Merge Details

Merge Method

Models Merged

Configuration