From original readme

This is a merge of pre-trained language models created using mergekit. Prompt template: Alpaca, maybe ChatML

measurement.json for quanting exl2 included.

Merge Method

This model was merged using the SLERP merge method.

Models Merged

The following models were included in the merge:

G:\FModels\IceCoffeeTest10
G:\FModels\IceCoffeeTest5

Configuration

The following YAML configuration was used to produce this model:


slices:
  - sources:
      - model: G:\FModels\IceCoffeeTest5
        layer_range: [0, 32]
      - model: G:\FModels\IceCoffeeTest10
        layer_range: [0, 32]
merge_method: slerp
base_model: G:\FModels\IceCoffeeTest5
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.	73.19
AI2 Reasoning Challenge (25-Shot)	71.16
HellaSwag (10-Shot)	87.74
MMLU (5-Shot)	63.54
TruthfulQA (0-shot)	70.03
Winogrande (5-shot)	82.48
GSM8k (5-shot)	64.22

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	20.24
IFEval (0-Shot)	49.59
BBH (3-Shot)	29.40
MATH Lvl 5 (4-Shot)	4.83
GPQA (0-shot)	4.70
MuSR (0-shot)	11.00
MMLU-PRO (5-shot)	21.94

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GGUF

Model size

7B params

Architecture

llama

Hardware compatibility

1-bit

2-bit

3-bit

4-bit

5-bit

6-bit

8-bit