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Jahirrrr/Klyrune-2B-General-1
Klyrune-2B-General-1 is a text generation model from Jahirrrr. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as apache-2.0.
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 probl…
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From the Hugging Face model README
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).
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