DistilabelCerberus-7B-slerp

DistilabelCerberus-7B-slerp is a merge of the following models using mergekit:

• dvilasuero/DistilabelBeagle14-7B
• teknium/OpenHermes-2.5-Mistral-7B

🧩 Configuration

slices:
  - sources:
      - model: dvilasuero/DistilabelBeagle14-7B
        layer_range: [0, 32]
      - model: teknium/OpenHermes-2.5-Mistral-7B
        layer_range: [0, 32]
merge_method: slerp
base_model: teknium/OpenHermes-2.5-Mistral-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

Results

	ARC-C	Hellaswag	ThruthfulQA	Winogrande	GSM8K
OpenHermes-2.5-Mistral-7B	61.26	65.22	52.24	78.06	26.08
DistilabelBeagle14-7B	?	?	71.66	?	?
DistilabelCerberus-7B-slerp	65.44	69.29	60.93	79.48	69.82

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	71.56
AI2 Reasoning Challenge (25-Shot)	68.17
HellaSwag (10-Shot)	86.78
MMLU (5-Shot)	64.20
TruthfulQA (0-shot)	60.93
Winogrande (5-shot)	79.48
GSM8k (5-shot)	69.83