README.md

metadata

base_model:
  - mlabonne/Hermes-3-Llama-3.1-70B-lorablated
  - migtissera/Tess-3-Llama-3.1-70B
  - Black-Ink-Guild/Pernicious_Prophecy_70B
library_name: transformers
tags:
  - mergekit
  - merge

about

A simple curiosity, to see if the Trojka v2 benchs results are reproduced with another lead model. And the experience worked, at least in benchs. I have to test all of this in chat now.

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benchs

• PPL 512 Wikitext Eng : 3.09 (very good)
• ARC-C : 65.55 (I never merged anything >= 64 before, and that's already very high, most of L3 merges are between 53 and 59. 64 +3% is beyond the margin of error, this might be a record.)
• ARC-E : 82.80 (This is the usual plateau of my best merges)

---

merge

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

Merge Details

Merge Method

This model was merged using the Model Stock merge method using Black-Ink-Guild/Pernicious_Prophecy_70B as a base.

Models Merged

The following models were included in the merge:

• mlabonne/Hermes-3-Llama-3.1-70B-lorablated
• migtissera/Tess-3-Llama-3.1-70B

Configuration

The following YAML configuration was used to produce this model:

merge_method: model_stock
models:
  - model: mlabonne/Hermes-3-Llama-3.1-70B-lorablated
    parameters:
      weight: 1.0
  - model: migtissera/Tess-3-Llama-3.1-70B
    parameters:
      weight: 1.0
base_model: Black-Ink-Guild/Pernicious_Prophecy_70B
dtype: bfloat16
out_dtype: bfloat16
parameters:
  int8_mask: true
  normalize: true
  rescale: false
chat_template: auto
tokenizer:
  source: union