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Jahirrrr/Klyrune-2B-General-1

sourceHugging Faceapache-2.0updated 10d agoView on Hugging Face

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Model Card

Klyrune-2B-General-1

Klyrune-2B-General-1 is the first general-purpose instruction-tuned checkpoint in the Klyrune-2B project. It is fine-tuned from OpenBMB's MiniCPM5-2B-Base to develop general instruction-following, knowledge, and problem-solving capabilities.

This release represents the project's general supervised fine-tuning (SFT) stage, not a coding-specialized or autonomous-agent model. It is a fine-tune of an existing base model, not a model pretrained from scratch or an official OpenBMB release.

The Klyrune-2B project was initiated and developed by Informatics Engineering students at the State Polytechnic of Jakarta (Politeknik Negeri Jakarta).

Evaluation Results

The following scores were obtained from the project's own evaluation of Klyrune-2B-General-1.

Benchmark	Subject / Metric	Score
MATH-500	Accuracy (full 500-question set)	70.4% (352/500)
MMLU	College Mathematics	63.0%
MMLU	High School Mathematics	85.6%
MMLU	College Computer Science	61.0%
MMLU	High School Computer Science	79.0%
MMLU	Computer Security	77.0%
MMLU	Formal Logic	54.0%
MMLU	Abstract Algebra	58.0%
HumanEval	Python code generation, pass@1	49.4%

The benchmarks above focus primarily on mathematics and computer science. They do not, on their own, establish comprehensive performance across all general-purpose tasks or languages.

Base model: openbmb/MiniCPM5-2B-Base

Model repository: Jahirrrr/Klyrune-2B-General-1