README.md

metadata

library_name: transformers
tags:
  - merge
  - mergekit
license: cc-by-4.0
language:
  - da
  - sv
  - 'no'
  - nb
  - nn
base_model:
  - mistralai/Mistral-7B-v0.1
  - danish-foundation-models/munin-7b-alpha
  - norallm/normistral-7b-warm
  - timpal0l/Mistral-7B-v0.1-flashback-v2

ScandiMerge

This is a DARE-TIES merge of the following models, all based on mistralai/Mistral-7B-v0.1:

1. danish-foundation-models/munin-7b-alpha, continued pretraining on Danish data;
2. norallm/normistral-7b-warm, continued pretraining on Norwegian data;
3. timpal0l/Mistral-7B-v0.1-flashback-v2, continued pretraining on Swedish data.

Model Details

• Merged by: Dan Saattrup Nielsen
• Model type: Decoder model, based on Mistral-7B-v0.1
• Language(s) (NLP): Danish, Swedish and Norwegian
• License: CC-BY-4.0
• Merge configuration:

  dict(
      models=[
          dict(
              model="danish-foundation-models/munin-7b-alpha",
              parameters=dict(
                  density=0.9,
                  weight=1.0,
              ),
          ),
          dict(
              model="norallm/normistral-7b-warm",
              parameters=dict(
                  density=0.9,
                  weight=1.0,
              ),
          ),
          dict(
              model="timpal0l/Mistral-7B-v0.1-flashback-v2",
              parameters=dict(
                  density=0.9,
                  weight=1.0,
              ),
          ),
      ],
      merge_method="dare_ties",
      random_seed=4242,
      base_model="mistralai/Mistral-7B-v0.1",
      parameters=dict(
          normalize=True,
          int8_mask=True,
      ),
      dtype="float16",
  )