Artples/L-MChat-Small

L-MChat-Small

This was a test of mine how small merges perform, because there are a lot of 7b merges and higher but not a lot of 2b merges.

Merge Method

This model was merged using the SLERP merge method.

Models Merged

The following models were included in the merge:

• rhysjones/phi-2-orange-v2
• Weyaxi/Einstein-v4-phi2

Configuration

The following YAML configuration was used to produce this model:

slices:
- sources:
  - model: Weyaxi/Einstein-v4-phi2
    layer_range:
    - 0
    - 32
  - model: rhysjones/phi-2-orange-v2
    layer_range:
    - 0
    - 32
merge_method: slerp
base_model: rhysjones/phi-2-orange-v2
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: bfloat16

Usage

Use it with the ChatML format, you can also use the Inference-API for this Model.

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	63.14
AI2 Reasoning Challenge (25-Shot)	61.60
HellaSwag (10-Shot)	75.90
MMLU (5-Shot)	57.41
TruthfulQA (0-shot)	49.94
Winogrande (5-shot)	74.98
GSM8k (5-shot)	58.98