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Nusantara 4B Indo Chat by kalisai

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  Autotrain compatible   Convai   Conversational Dataset:argilla/openhermes2.5-... Dataset:freedomintelligence/ev...   Dataset:wikimedia/wikipedia   En   Endpoints compatible   Id   Instruct   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/kalisai/Nusantara-4b-Indo-Chat 

Nusantara 4B Indo Chat Benchmarks

ARC: 45.39 vs 96.7 (so35)-53.1%
HellaSwag: 70.16 vs 95.3 (gpt4)-26.4%
MMLU: 38.39 vs 88.3 (so35)-56.5%
TruthfulQA: 38.38 vs 59 (gpt4)-34.9%
WinoGrande: 67.25 vs 87.5 (gpt4)-23.1%
GSM8K: 11.6 vs 96.4 (so35)-88%
LLME Score: 0.17382
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Nusantara 4B Indo Chat (kalisai/Nusantara-4b-Indo-Chat)
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Nusantara 4B Indo Chat Parameters and Internals

Model Type 
transformer-based, decoder-only, language model
Supported Languages 
Bahasa Indonesia (proficient), English (proficient)
LLM NameNusantara 4B Indo Chat
Repository 🤗https://huggingface.co/kalisai/Nusantara-4b-Indo-Chat 
Model Size4b
Required VRAM7.9 GB
Updated2025-09-23
Maintainerkalisai
Model Typeqwen2
Instruction-BasedYes
Model Files  3.0 GB: 1-of-3   3.0 GB: 2-of-3   1.9 GB: 3-of-3
Supported Languagesid en
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.38.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than kalisai/Nusantara-4b-Indo-Chat.

Rank the Nusantara 4B Indo Chat 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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