lemonade-rebase-32k-7B

This is a rebase merge using the formula from KatyTheCutie/LemonadeRP-4.5.3 on Mistral v0.2 7B base (instead of v0.1), for 32K context length (eliminating the 4K sliding window), with rope theta set to 100K. No other changes were made.

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

Merge Details

Merge Method

This model was merged using the task arithmetic merge method using alpindale/Mistral-7B-v0.2-hf as a base.

Models Merged

The following models were included in the merge:

• cgato/Thespis-7b-v0.5-SFTTest-2Epoch
• NeverSleep/Noromaid-7B-0.4-DPO
• NurtureAI/neural-chat-7b-v3-1-16k
• cgato/Thespis-CurtainCall-7b-v0.2.2
• tavtav/eros-7b-test

Configuration

The following YAML configuration was used to produce this model:

base_model: alpindale/Mistral-7B-v0.2-hf
dtype: float16
merge_method: task_arithmetic
slices:
- sources:
  - layer_range: [0, 32]
    model: alpindale/Mistral-7B-v0.2-hf
  - layer_range: [0, 32]
    model: NeverSleep/Noromaid-7B-0.4-DPO
    parameters:
      weight: 0.37
  - layer_range: [0, 32]
    model: cgato/Thespis-CurtainCall-7b-v0.2.2
    parameters:
      weight: 0.32
  - layer_range: [0, 32]
    model: NurtureAI/neural-chat-7b-v3-1-16k
    parameters:
      weight: 0.15
  - layer_range: [0, 32]
    model: cgato/Thespis-7b-v0.5-SFTTest-2Epoch
    parameters:
      weight: 0.38
  - layer_range: [0, 32]
    model: tavtav/eros-7b-test
    parameters:
      weight: 0.18