hotmailuser/RombosBeagle-v2beta-MGS-32B

merge

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

Merge Details

Merge Method

This model was merged using the TIES merge method using fblgit/TheBeagle-v2beta-32B-MGS as a base.

Models Merged

The following models were included in the merge:

• rombodawg/Rombos-LLM-V2.5-Qwen-32b

Configuration

The following YAML configuration was used to produce this model:

models:
  - model: fblgit/TheBeagle-v2beta-32B-MGS
    #no parameters necessary for base model
  - model: fblgit/TheBeagle-v2beta-32B-MGS
    parameters:
      density: 0.5
      weight: 0.5
  - model: rombodawg/Rombos-LLM-V2.5-Qwen-32b
    parameters:
      density: 0.5
      weight: 0.5

merge_method: ties
base_model: fblgit/TheBeagle-v2beta-32B-MGS
parameters:
  normalize: false
  int8_mask: true
dtype: bfloat16