GRM-1.5b is a general-purpose reasoning-focused 1.5B model fine-tuned to improve multi-domain reasoning (math, logic, coding, and broad problem-solving). It is designed to be a strong, lightweight “daily driver” for general reasoning tasks and as a solid base for further fine-tuning.

Key features

Dedicated reasoning behavior for general tasks (stepwise problem solving, better consistency).
Small & efficient (1.5B) — practical for local inference and experimentation.
Multi-domain mixture: reasoning + code + math + (some) medical reasoning data.
Fine-tune friendly: intended as a good starting point for your own SFT/GRPO/DPO pipelines.

Benchmarks

Model	AIME24	AIME25	AMC23	MATH500	HMMT O2/25	LCB 06/24-01/25	CodeElo	CodeForces	GPQA-D	JEEBench
GRM-1.5b	52.0	41.7	87.0	86.4	27.3	39.4	12.9	15.5	29.5	51.9
DeepSeek-R1-Distill-Qwen-1.5B	32.3	23.7	71.8	80.8	15.3	27.2	8.8	8.5	31.1	32.5
Nemotron-Research-Reasoning-Qwen-1.5B	47.7	32.0	87.5	86.0	21.7	31.4	54.7	40.3	41.8	52.6
Qwen3-1.7B	52.0	35.3	83.8	87.2	23.3	27.7	20.7	20.0	49.3	60.7
Qwen2.5-1.5B-Instruct	3.0	0.7	30.8	50.2	0.0	5.5	0.8	2.2	24.7	16.4

OrionLLM/GRM-1.5b

Key features

Benchmarks

OrionLLM/
GRM-1.5b