library_name, tags, base_model, model-index

library_name	tags	base_model	model-index
transformers	mergekit merge	bunnycore/Qwen-2.5-7B-Deep-Stock-v4 bunnycore/Qwen-2.5-7b-s1k-lora_model	name results Qwen-2.5-7b-S1k 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 71.62 strict accuracy url name https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Qwen-2.5-7b-S1k 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 36.69 normalized accuracy url name https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Qwen-2.5-7b-S1k 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 47.81 exact match url name https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Qwen-2.5-7b-S1k 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 4.59 acc_norm url name https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Qwen-2.5-7b-S1k 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 9.26 acc_norm url name https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Qwen-2.5-7b-S1k 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 37.58 accuracy url name https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Qwen-2.5-7b-S1k Open LLM Leaderboard

System Prompt

Think about the reasoning process in the mind first, then provide the answer. The reasoning process should detailed and should be wrapped within <think> </think> tags, then provide the answer after that, i.e., <think> reasoning process here </think> answer here.

Configuration

The following YAML configuration was used to produce this model:

base_model: bunnycore/Qwen-2.5-7B-Deep-Stock-v4+bunnycore/Qwen-2.5-7b-s1k-lora_model
dtype: bfloat16
merge_method: passthrough
models:
  - model: bunnycore/Qwen-2.5-7B-Deep-Stock-v4+bunnycore/Qwen-2.5-7b-s1k-lora_model
tokenizer_source: bunnycore/Qwen-2.5-7B-Deep-Stock-v4

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	34.59
IFEval (0-Shot)	71.62
BBH (3-Shot)	36.69
MATH Lvl 5 (4-Shot)	47.81
GPQA (0-shot)	4.59
MuSR (0-shot)	9.26
MMLU-PRO (5-shot)	37.58