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Quantizations of https://huggingface.co/icefog72/WestIceLemonTeaRP-32k-7b

From original readme

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.

thx mradermacher and SilverFan for

Merge Method

This model was merged using the SLERP merge method.

Models Merged

The following models were included in the merge:

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

image/png

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
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Model size
7.24B params
Architecture
llama
+4
Inference Examples
Inference API (serverless) has been turned off for this model.