Edit model card

Fett-uccine-Long-Noodle-7B-120k-Context

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

Merge Details

A merge with Fett-uccine and Mistral Yarn 120k ctx.

Credit to Nitral for the merge script and idea.

Merge Method

This model was merged using the SLERP merge method.

Models Merged

The following models were included in the merge:

  • Z:\ModelColdStorage\Yarn-Mistral-7b-128k
  • Z:\ModelColdStorage\Fett-uccine-7B

Configuration

The following YAML configuration was used to produce this model:

slices:
  - sources:
      - model: Z:\ModelColdStorage\Fett-uccine-7B
        layer_range: [0, 32]
      - model: Z:\ModelColdStorage\Yarn-Mistral-7b-128k
        layer_range: [0, 32]
merge_method: slerp
base_model: Z:\ModelColdStorage\Fett-uccine-7B
parameters:
  t:
    - filter: self_attn
      value: [0, 0.5, 0.3, 0.7, 1]
    - filter: mlp
      value: [1, 0.5, 0.7, 0.3, 0]
    - value: 0.5
dtype: bfloat16
Downloads last month
4
Safetensors
Model size
7.24B params
Tensor type
BF16
·
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.
Invalid base_model specified in model card metadata. Needs to be a model id from hf.co/models.

Collection including Epiculous/Fett-uccine-Long-Noodle-7B-120k-Context