WestIceLemonTeaRP-32k-7b

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

Merge Details

Prompt template: Alpaca, maybe ChatML

• measurement.json for quanting exl2 included.

• 4.2bpw-exl2
• 6.5bpw-exl2
• 8bpw-exl2

thx mradermacher and SilverFan for

• mradermacher/WestIceLemonTeaRP-32k-GGUF
• SilverFan/WestIceLemonTeaRP-7b-32k-GGUF

Merge Method

This model was merged using the SLERP merge method.

Models Merged

The following models were included in the merge:

• IceLemonTeaRP-32k-7b
• WestWizardIceLemonTeaRP
  • SeverusWestLake-7B-DPO
  • WizardIceLemonTeaRP
    • Not-WizardLM-2-7B
    • IceLemonTeaRP-32k-7b

Configuration

The following YAML configuration was used to produce this model:

slices:
  - sources:
      - model: IceLemonTeaRP-32k-7b
        layer_range: [0, 32]
      - model: WestWizardIceLemonTeaRP
        layer_range: [0, 32]
merge_method: slerp
base_model: IceLemonTeaRP-32k-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: float16

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	71.27
AI2 Reasoning Challenge (25-Shot)	68.77
HellaSwag (10-Shot)	86.89
MMLU (5-Shot)	64.28
TruthfulQA (0-shot)	62.47
Winogrande (5-shot)	80.98
GSM8k (5-shot)	64.22