license, tags, base_model, model-index

license	tags	base_model	model-index
apache-2.0	merge mergekit lazymergekit berkeley-nest/Starling-LM-7B-alpha mistralai/Mistral-7B-Instruct-v0.2	berkeley-nest/Starling-LM-7B-alpha mistralai/Mistral-7B-Instruct-v0.2	name results StarMix-7B-slerp task dataset metrics source type name text-generation Text Generation name type config split args AI2 Reasoning Challenge (25-Shot) ai2_arc ARC-Challenge test num_few_shot 25 type value name acc_norm 65.36 normalized accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Praneeth/StarMix-7B-slerp Open LLM Leaderboard task dataset metrics source type name text-generation Text Generation name type split args HellaSwag (10-Shot) hellaswag validation num_few_shot 10 type value name acc_norm 85.1 normalized accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Praneeth/StarMix-7B-slerp Open LLM Leaderboard task dataset metrics source type name text-generation Text Generation name type config split args MMLU (5-Shot) cais/mmlu all test num_few_shot 5 type value name acc 62.57 accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Praneeth/StarMix-7B-slerp Open LLM Leaderboard task dataset metrics source type name text-generation Text Generation name type config split args TruthfulQA (0-shot) truthful_qa multiple_choice validation num_few_shot 0 type value mc2 57.81 url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Praneeth/StarMix-7B-slerp Open LLM Leaderboard task dataset metrics source type name text-generation Text Generation name type config split args Winogrande (5-shot) winogrande winogrande_xl validation num_few_shot 5 type value name acc 79.95 accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Praneeth/StarMix-7B-slerp Open LLM Leaderboard task dataset metrics source type name text-generation Text Generation name type config split args GSM8k (5-shot) gsm8k main test num_few_shot 5 type value name acc 53.68 accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Praneeth/StarMix-7B-slerp Open LLM Leaderboard

StarMix-7B-slerp

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

• berkeley-nest/Starling-LM-7B-alpha
• mistralai/Mistral-7B-Instruct-v0.2

🧩 Configuration

slices:
  - sources:
      - model: berkeley-nest/Starling-LM-7B-alpha
        layer_range: [0, 32]
      - model: mistralai/Mistral-7B-Instruct-v0.2
        layer_range: [0, 32]
merge_method: slerp
base_model: mistralai/Mistral-7B-Instruct-v0.2
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

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	67.41
AI2 Reasoning Challenge (25-Shot)	65.36
HellaSwag (10-Shot)	85.10
MMLU (5-Shot)	62.57
TruthfulQA (0-shot)	57.81
Winogrande (5-shot)	79.95
GSM8k (5-shot)	53.68