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KONI 4B Instruct 20250901 by KISTI-KONI

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KONI 4B Instruct 20250901 is an open-source language model by KISTI-KONI. Features: 4b LLM, VRAM: 7.8GB, Context: 128K, License: gemma, Instruction-Based, LLM Explorer Score: 0.21.

  4b Base model:finetune:google/gem... Base model:google/gemma-3-4b-p...   Conversational   En   Endpoints compatible   Gemma3   Gemma3 text   Instruct   Ko   Pytorch   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/KISTI-KONI/KONI-4B-instruct-20250901 

KONI 4B Instruct 20250901 Benchmarks

LLME Score: 0.20802
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
KONI 4B Instruct 20250901 (KISTI-KONI/KONI-4B-instruct-20250901)
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KONI 4B Instruct 20250901 Parameters and Internals

LLM NameKONI 4B Instruct 20250901
Repository 🤗https://huggingface.co/KISTI-KONI/KONI-4B-instruct-20250901 
Base Model(s)  google/gemma-3-4b-pt   google/gemma-3-4b-pt
Model Size4b
Required VRAM7.8 GB
Updated2026-05-15
MaintainerKISTI-KONI
Model Typegemma3_text
Instruction-BasedYes
Model Files  5.0 GB: 1-of-2   2.8 GB: 2-of-2   15.5 GB   0.0 GB   0.0 GB
Supported Languagesko en
Model ArchitectureGemma3ForCausalLM
Licensegemma
Context Length131072
Model Max Length131072
Transformers Version4.51.3
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
Vocabulary Size262208
Torch Data Typebfloat16

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Gemma 3 4B T1 It128K / 9.1 GB843041
Note: green Score (e.g. "73.2") means that the model is better than KISTI-KONI/KONI-4B-instruct-20250901.

Rank the KONI 4B Instruct 20250901 Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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