merge

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

Merge Details

Scores lower than the original model! Not recommended unless you're experimenting.

This model is a experiment of using passthrough on 7b models to further merge them with 10.7b/11b models for fun. i doubt there will be any benfits of this model over the orignal.

Merge Method

This model was merged using the passthrough merge method.

Models Merged

The following models were included in the merge:

Configuration

The following YAML configuration was used to produce this model:

slices:
  - sources:
    - model: Epiculous/Fett-uccine-7B
      layer_range: [0, 24]
  - sources:
    - model: Epiculous/Fett-uccine-7B
      layer_range: [8, 32]
merge_method: passthrough
dtype: float16
Downloads last month
95
Safetensors
Model size
10.7B params
Tensor type
FP16
·
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Model tree for saishf/Fett-uccine-11B-Experiment

Finetuned
(1)
this model
Quantizations
2 models