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Nusantara 1.8B Indo Chat by kalisai

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Model Card on HF 🤗: https://huggingface.co/kalisai/Nusantara-1.8b-Indo-Chat 

Nusantara 1.8B Indo Chat Benchmarks

ARC: 35.32 vs 96.7 (so35)-63.5%
HellaSwag: 56.32 vs 95.3 (gpt4)-40.9%
MMLU: 30.37 vs 88.3 (so35)-65.6%
TruthfulQA: 37.27 vs 59 (gpt4)-36.8%
WinoGrande: 59.75 vs 87.5 (gpt4)-31.7%
GSM8K: 3.34 vs 96.4 (so35)-96.5%
LLME Score: 0.21114
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Nusantara 1.8B Indo Chat (kalisai/Nusantara-1.8b-Indo-Chat)

Nusantara 1.8B Indo Chat Parameters and Internals

Model Type 
transformer-based, decoder-only, language model
Additional Notes 
Models with <4B parameters tend to hallucinate easily. The model is trained with uncensored datasets, leading to potential negative impacts.
Supported Languages 
Bahasa Indonesia (id), English (en)
LLM NameNusantara 1.8B Indo Chat
Repository 🤗https://huggingface.co/kalisai/Nusantara-1.8b-Indo-Chat 
Model Size1.8b
Required VRAM3.7 GB
Updated2025-03-14
Maintainerkalisai
Model Typeqwen2
Instruction-BasedYes
Model Files  3.0 GB: 1-of-2   0.7 GB: 2-of-2
Supported Languagesid en
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length8192
Model Max Length8192
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-1.8b-Indo-Chat.

Rank the Nusantara 1.8B 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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Release v20241227
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