--- library_name: transformers license: mit datasets: - ethicalabs/Kurtis-E1-SFT language: - en base_model: - Qwen/Qwen3-4B pipeline_tag: text-generation tags: - text-generation-inference --- # Model Card for ethicalabs/Kurtis-E1.1-Qwen3-4B Kurtis E1.1 fine-tuned with [flower](https://flower.ai/) ## Eval Results Evaluation tasks were performed with the [LM Evaluation Harness](https://github.com/EleutherAI/lm-evaluation-harness) on a Mac Mini M4 Pro. ### mmlu ``` lm_eval --model hf --model_args pretrained=ethicalabs/Kurtis-E1.1-Qwen3-4B --tasks mmlu --device mps --batch_size 4 ``` | Tasks |Version|Filter|n-shot|Metric| |Value | |Stderr| |---------------------------------------|------:|------|-----:|------|---|-----:|---|-----:| |mmlu | 2|none | |acc |↑ |0.6849|± |0.0037| | - humanities | 2|none | |acc |↑ |0.5951|± |0.0067| | - formal_logic | 1|none | 0|acc |↑ |0.5952|± |0.0439| | - high_school_european_history | 1|none | 0|acc |↑ |0.7879|± |0.0319| | - high_school_us_history | 1|none | 0|acc |↑ |0.8333|± |0.0262| | - high_school_world_history | 1|none | 0|acc |↑ |0.8439|± |0.0236| | - international_law | 1|none | 0|acc |↑ |0.7686|± |0.0385| | - jurisprudence | 1|none | 0|acc |↑ |0.7685|± |0.0408| | - logical_fallacies | 1|none | 0|acc |↑ |0.8037|± |0.0312| | - moral_disputes | 1|none | 0|acc |↑ |0.7081|± |0.0245| | - moral_scenarios | 1|none | 0|acc |↑ |0.3754|± |0.0162| | - philosophy | 1|none | 0|acc |↑ |0.7170|± |0.0256| | - prehistory | 1|none | 0|acc |↑ |0.7346|± |0.0246| | - professional_law | 1|none | 0|acc |↑ |0.4844|± |0.0128| | - world_religions | 1|none | 0|acc |↑ |0.7778|± |0.0319| | - other | 2|none | |acc |↑ |0.7161|± |0.0078| | - business_ethics | 1|none | 0|acc |↑ |0.7300|± |0.0446| | - clinical_knowledge | 1|none | 0|acc |↑ |0.7396|± |0.0270| | - college_medicine | 1|none | 0|acc |↑ |0.7168|± |0.0344| | - global_facts | 1|none | 0|acc |↑ |0.3300|± |0.0473| | - human_aging | 1|none | 0|acc |↑ |0.6771|± |0.0314| | - management | 1|none | 0|acc |↑ |0.8155|± |0.0384| | - marketing | 1|none | 0|acc |↑ |0.8675|± |0.0222| | - medical_genetics | 1|none | 0|acc |↑ |0.7600|± |0.0429| | - miscellaneous | 1|none | 0|acc |↑ |0.8008|± |0.0143| | - nutrition | 1|none | 0|acc |↑ |0.7255|± |0.0256| | - professional_accounting | 1|none | 0|acc |↑ |0.5390|± |0.0297| | - professional_medicine | 1|none | 0|acc |↑ |0.7390|± |0.0267| | - virology | 1|none | 0|acc |↑ |0.5000|± |0.0389| | - social sciences | 2|none | |acc |↑ |0.7813|± |0.0074| | - econometrics | 1|none | 0|acc |↑ |0.6228|± |0.0456| | - high_school_geography | 1|none | 0|acc |↑ |0.8283|± |0.0269| | - high_school_government_and_politics| 1|none | 0|acc |↑ |0.8756|± |0.0238| | - high_school_macroeconomics | 1|none | 0|acc |↑ |0.7590|± |0.0217| | - high_school_microeconomics | 1|none | 0|acc |↑ |0.8151|± |0.0252| | - high_school_psychology | 1|none | 0|acc |↑ |0.8679|± |0.0145| | - human_sexuality | 1|none | 0|acc |↑ |0.7405|± |0.0384| | - professional_psychology | 1|none | 0|acc |↑ |0.7173|± |0.0182| | - public_relations | 1|none | 0|acc |↑ |0.6818|± |0.0446| | - security_studies | 1|none | 0|acc |↑ |0.7265|± |0.0285| | - sociology | 1|none | 0|acc |↑ |0.8308|± |0.0265| | - us_foreign_policy | 1|none | 0|acc |↑ |0.8100|± |0.0394| | - stem | 2|none | |acc |↑ |0.6943|± |0.0079| | - abstract_algebra | 1|none | 0|acc |↑ |0.5700|± |0.0498| | - anatomy | 1|none | 0|acc |↑ |0.6370|± |0.0415| | - astronomy | 1|none | 0|acc |↑ |0.8092|± |0.0320| | - college_biology | 1|none | 0|acc |↑ |0.8333|± |0.0312| | - college_chemistry | 1|none | 0|acc |↑ |0.5400|± |0.0501| | - college_computer_science | 1|none | 0|acc |↑ |0.6600|± |0.0476| | - college_mathematics | 1|none | 0|acc |↑ |0.5700|± |0.0498| | - college_physics | 1|none | 0|acc |↑ |0.5784|± |0.0491| | - computer_security | 1|none | 0|acc |↑ |0.7800|± |0.0416| | - conceptual_physics | 1|none | 0|acc |↑ |0.7787|± |0.0271| | - electrical_engineering | 1|none | 0|acc |↑ |0.7586|± |0.0357| | - elementary_mathematics | 1|none | 0|acc |↑ |0.6878|± |0.0239| | - high_school_biology | 1|none | 0|acc |↑ |0.8742|± |0.0189| | - high_school_chemistry | 1|none | 0|acc |↑ |0.7192|± |0.0316| | - high_school_computer_science | 1|none | 0|acc |↑ |0.8500|± |0.0359| | - high_school_mathematics | 1|none | 0|acc |↑ |0.4741|± |0.0304| | - high_school_physics | 1|none | 0|acc |↑ |0.6225|± |0.0396| | - high_school_statistics | 1|none | 0|acc |↑ |0.7083|± |0.0310| | - machine_learning | 1|none | 0|acc |↑ |0.5268|± |0.0474| | Groups |Version|Filter|n-shot|Metric| |Value | |Stderr| |------------------|------:|------|------|------|---|-----:|---|-----:| |mmlu | 2|none | |acc |↑ |0.6849|± |0.0037| | - humanities | 2|none | |acc |↑ |0.5951|± |0.0067| | - other | 2|none | |acc |↑ |0.7161|± |0.0078| | - social sciences| 2|none | |acc |↑ |0.7813|± |0.0074| | - stem | 2|none | |acc |↑ |0.6943|± |0.0079|