DolphinLake-7B / README.md
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metadata
base_model:
  - senseable/WestLake-7B-v2
  - cognitivecomputations/dolphin-2.8-mistral-7b-v02
library_name: transformers
tags:
  - mergekit
  - merge

Noodlz_DolphinLake-DARE_TIE_SLERP-tokenwest

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

Merge Details

Merge Method

This model was merged using the DARE TIES merge method using cognitivecomputations/dolphin-2.8-mistral-7b-v02 as a base.

Models Merged

The following models were included in the merge:

Configuration

The following YAML configuration was used to produce this model:

merge_method: dare_ties

parameters:
  int8_mask: true
  t:
    - filter: self_attn
      value: [0, 0.5, 0.3, 0.7, 1]
    - filter: mlp
      value: [1, 0.5, 0.7, 0.3, 0]
    - value: 0.5 # fallback for rest of tensors
  embed_slerp: true

models:
  - model: cognitivecomputations/dolphin-2.8-mistral-7b-v02
    # No parameters necessary for base model
  - model: senseable/WestLake-7B-v2
    parameters:
      density: 0.58
      weight: 0.8

base_model: cognitivecomputations/dolphin-2.8-mistral-7b-v02

tokenizer_source: model:senseable/WestLake-7B-v2

dtype: bfloat16