Use ChatML or MistralNemo format.

Conclusion: These types of merge methods tend to work better when at least 1 model has a much higher weight then the rest

After further testing this is the best Nemo model I have ever used

Configuration

The following YAML configuration was used to produce this model:

models:
  - model: mistral-nemo-gutenberg-12B-v4
    parameters:
      weight: 0.2
  - model: Violet_Twilight-v0.2
    parameters:
      weight: 0.3
  - model: Lyra-Gutenberg-mistral-nemo-12B
    parameters:
      weight: 0.5
  - model: Grey-12b
    parameters:
      weight: 0.2
base_model: Mistral-Nemo-Base-2407
parameters:
  density: 0.5
  epsilon: 0.1
  lambda: 1.1
  normalize: false
  int8_mask: true
  rescale: true
merge_method: della_linear
tokenizer:
  source: union
dtype: bfloat16
Downloads last month
19
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 ohyeah1/Violet-Lyra-Gutenberg

Quantizations
1 model