IceCaffeLatteRP-7b-3.0bpw-h6-exl2

IceCaffeLatteRP-7b

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

Merge Details

My last merge that I'm using. For feedback ST Discord model's topic

• 4.2bpw-exl2

Thx riveRiPH for

• 3.17bpw-exl2
• 4.32bpw-exl2
• 5.32bpw-exl2
• 6.33bpw-exl2
• 8.04bpw-exl2

Thx mradermacher for

• GGUF

Merge Method

This model was merged using the SLERP merge method.

Models Merged

The following models were included in the merge:

• IceLatteRP-7b
• IceMochaccinoRP-7b

Configuration

The following YAML configuration was used to produce this model:

slices:
  - sources:
      - model: IceMochaccinoRP-7b
        layer_range: [0, 32]
      - model: IceLatteRP-7b 
        layer_range: [0, 32]

merge_method: slerp
base_model: IceLatteRP-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 # fallback for rest of tensors
dtype: bfloat16

Open LLM Leaderboard Evaluation Results

Detailed results can be found here