slices:
  - sources:
      - model: v1olet/v1olet_marcoroni-go-bruins-merge-7B
        layer_range: [0, 32]
      - model: fblgit/juanako-7b-UNA
        layer_range: [0, 32]
merge_method: slerp
base_model: v1olet/v1olet_marcoroni-go-bruins-merge-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: bfloat16

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Jan Model Merger

This is a test project for merging models.

Open LLM Leaderboard Evaluation Results

Detailed results can be found here.

Metric	Value
Avg.	?
ARC (25-shot)	?
HellaSwag (10-shot)	?
MMLU (5-shot)	?
TruthfulQA (0-shot)	?
Winogrande (5-shot)	?
GSM8K (5-shot)	?

Acknowlegement

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	71.35
AI2 Reasoning Challenge (25-Shot)	69.37
HellaSwag (10-Shot)	86.60
MMLU (5-Shot)	64.91
TruthfulQA (0-shot)	62.96
Winogrande (5-shot)	80.82
GSM8k (5-shot)	63.46

jan-hq/supermario-slerp-v2

Model Description

Run this model

About Jan

Jan Model Merger

Open LLM Leaderboard Evaluation Results

Acknowlegement

Open LLM Leaderboard Evaluation Results

jan-hq/
supermario-slerp-v2