library_name, tags, base_model, model-index

library_name	tags	base_model	model-index
transformers	mergekit merge	prithivMLmods/QwQ-LCoT-3B-Instruct bunnycore/Qwen2.5-3B-RP-Mix	name results QwQen-3B-LCoT task dataset metrics source type name text-generation Text Generation name type args IFEval (0-Shot) HuggingFaceH4/ifeval num_few_shot 0 type value name inst_level_strict_acc and prompt_level_strict_acc 60.25 strict accuracy url name https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/QwQen-3B-LCoT Open LLM Leaderboard task dataset metrics source type name text-generation Text Generation name type args BBH (3-Shot) BBH num_few_shot 3 type value name acc_norm 28.5 normalized accuracy url name https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/QwQen-3B-LCoT Open LLM Leaderboard task dataset metrics source type name text-generation Text Generation name type args MATH Lvl 5 (4-Shot) hendrycks/competition_math num_few_shot 4 type value name exact_match 0.91 exact match url name https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/QwQen-3B-LCoT Open LLM Leaderboard task dataset metrics source type name text-generation Text Generation name type args GPQA (0-shot) Idavidrein/gpqa num_few_shot 0 type value name acc_norm 2.24 acc_norm url name https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/QwQen-3B-LCoT Open LLM Leaderboard task dataset metrics source type name text-generation Text Generation name type args MuSR (0-shot) TAUR-Lab/MuSR num_few_shot 0 type value name acc_norm 10.76 acc_norm url name https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/QwQen-3B-LCoT Open LLM Leaderboard task dataset metrics source type name text-generation Text Generation name type config split args MMLU-PRO (5-shot) TIGER-Lab/MMLU-Pro main test num_few_shot 5 type value name acc 29.99 accuracy url name https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/QwQen-3B-LCoT Open LLM Leaderboard

merge

This is a merge of pre-trained language models created using mergekit.

Merge Details

Merge Method

This model was merged using the linear merge method using bunnycore/Qwen2.5-3B-RP-Mix as a base.

Models Merged

The following models were included in the merge:

• prithivMLmods/QwQ-LCoT-3B-Instruct

Configuration

The following YAML configuration was used to produce this model:

merge_method: linear
dtype: bfloat16
normalize: true
base_model: bunnycore/Qwen2.5-3B-RP-Mix
models:
  - model: bunnycore/Qwen2.5-3B-RP-Mix
    parameters:
      weight: 10
      density: 1
  - model: prithivMLmods/QwQ-LCoT-3B-Instruct
    parameters:
      weight: 7
      density: 0.8

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	22.11
IFEval (0-Shot)	60.25
BBH (3-Shot)	28.50
MATH Lvl 5 (4-Shot)	0.91
GPQA (0-shot)	2.24
MuSR (0-shot)	10.76
MMLU-PRO (5-shot)	29.99