merge

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

Merge Details

Merge Method

This model was merged using the della_linear merge method using unsloth/Mistral-Nemo-Base-2407 as a base.

Models Merged

The following models were included in the merge:

Configuration

The following YAML configuration was used to produce this model:

models:
  - model: anthracite-org/magnum-v2.5-12b-kto
    parameters:
      weight: 1.0
      density: 0.5
  - model: Undi95/LocalC-12B-e2.0
    parameters:
      weight: 1.0
      lambda: 0.8
  - model: NeverSleep/Lumimaid-v0.2-12B
    parameters:
      weight: 1.0
      density: 0.4
  - model: VAGOsolutions/SauerkrautLM-Nemo-12b-Instruct
    parameters:
      weight: 1.0
merge_method: della_linear
base_model: unsloth/Mistral-Nemo-Base-2407
parameters:
  density: 0.6
  lambda: 1.0
  epsilon: 0.08
  normalize: true
  int8_mask: true
dtype: bfloat16
tokenizer_source: union
Downloads last month
3
Safetensors
Model size
12.2B params
Tensor type
BF16
·
Inference Providers NEW
This model is not currently available via any of the supported third-party Inference Providers, and the model is not deployed on the HF Inference API.

Model tree for djuna/MN-Lulanum-12B-FIX

Collection including djuna/MN-Lulanum-12B-FIX