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
45
GGUF
Model size
7.24B params
Architecture
llama

3-bit

4-bit

5-bit

6-bit

8-bit

Inference API
Unable to determine this model’s pipeline type. Check the docs .

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