phi3-128k

This is a merge of pre-trained language models created using mergekit.

Merge Details

Merge Method

This model was merged using the passthrough merge method using D:\text-generation-webui\models\microsoft_Phi-3-mini-128k-instruct as a base.

Models Merged

The following models were included in the merge:

Configuration

The following YAML configuration was used to produce this model:

slices:
  - sources:
      - model: D:\text-generation-webui\models\microsoft_Phi-3-mini-128k-instruct # embed_tokens comes along with the ride with whatever is the first layer
        layer_range: [0, 1]
      - model:  D:\text-generation-webui\models\microsoft_Phi-3-mini-128k-instruct # add dummy second model with 0 weight so tokenizer-based merge routine is invoked for embed_tokens
        layer_range: [0, 1]
  - sources:
      - model: D:\text-generation-webui\models\microsoft_Phi-3-mini-128k-instruct
        layer_range: [1, 24]
  - sources:
      - model: D:\text-generation-webui\models\microsoft_Phi-3-mini-128k-instruct
        layer_range: [8, 20]
  - sources:
      - model: D:\text-generation-webui\models\microsoft_Phi-3-mini-128k-instruct
        layer_range: [18, 32]
      - model: D:\text-generation-webui\models\microsoft_Phi-3-mini-128k-instruct
        layer_range: [18, 32]
merge_method: passthrough
base_model: D:\text-generation-webui\models\microsoft_Phi-3-mini-128k-instruct
dtype: bfloat16