OrionLLM/GRM-Kerlin-3b
TEXT GENERATIONConcurrent Unit Cost:1Model Size:3.1BQuant:BF16Context Size:32kTool Calling:SupportedPublished:Jul 4, 2026License:apache-2.0Architecture:Transformer0.0K Open Weights Featherless Exclusive Cold
OrionLLM/GRM-Kerlin-3b is a 3.1 billion parameter specialized general-purpose puzzle reasoning model developed by Orion Research. With a 32768-token context length, it is specifically trained to efficiently solve diverse puzzles. This compact model excels at logical reasoning, demonstrating an ability to think through task logic and recognize errors, achieving performance comparable to larger models.
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GRM-Kerlin-3b: Specialized Puzzle Reasoning Model
GRM-Kerlin-3b, developed by Orion Research, is a 3.1 billion parameter model specifically designed for general-purpose puzzle solving. It stands out for its ability to tackle various types of puzzles efficiently, leveraging a 32768-token context window.
Key Capabilities
- Efficient Puzzle Solving: Capable of solving difficult puzzles across different domains with ease.
- Advanced Reasoning: Demonstrates a "think before acting" approach, reasoning through task logic and identifying its own errors.
- Compact Intelligence: Delivers logical reasoning performance on par with much larger models, despite its relatively small 3 billion parameter count.
When to Use This Model
- Puzzle-solving applications: Ideal for tasks requiring logical deduction and problem-solving across diverse puzzle formats.
- Resource-constrained environments: Its compact size makes it suitable for deployment where larger models might be impractical, without sacrificing advanced reasoning capabilities.
- Error-aware systems: Beneficial for use cases where a model's ability to recognize and correct its own reasoning errors is critical.