Puzzle-reasoning positioning
According to the model card, GRM-Kerlin is a specialized general-purpose puzzle reasoning model, trained to solve puzzles of any type.
Open Source Model Profile · OrionLLM
GRM-Kerlin-3b is a 3.4B-parameter Qwen2 text-generation model from OrionLLM. According to the model card, it is a specialized puzzle-reasoning model for solving puzzles of any type.
GRM-Kerlin-3b is published by OrionLLM as a qwen2-based text-generation model. The captured configuration identifies Qwen2ForCausalLM and Safetensors metadata reports 3397103616 parameters, with card data recording apache-2.0. According to the model card, it is a specialized puzzle-reasoning model trained to solve puzzles of any type.
According to the model card, GRM-Kerlin is a specialized general-purpose puzzle reasoning model, trained to solve puzzles of any type.
According to the model card, the publisher highlights efficient puzzle solving, thinking before acting with error recognition, and compact reasoning at 3B scale.
Captured config identifies Qwen2ForCausalLM and qwen2, with Safetensors metadata reporting 3397103616 parameters.
Card data records apache-2.0, and hub tags include conversational alongside text-generation.
Source: OrionLLM/GRM-Kerlin-3b
Captured: Unknown. Processed: 2026-09-07T19:36:07.068705+00:00.
GRM-Kerlin-3b GRM-Kerlin is our specialized general-purpose puzzle reasoning model, trained to solve puzzles of any type. Highlights Efficient puzzle solving: capable of solving difficult puzzles with ease Thinks before acting: reasons through the task's logic and recognizes its own errors Compact intelligence: logical reasoning at the level of large models, with only 3 billion parameters Orion Research - 2026
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