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Llama 3.2 3B Indonesian Alpaca by kingGreen6969

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Llama 3.2 3B Indonesian Alpaca is an open-source language model by kingGreen6969. Features: 3b LLM, VRAM: 6.5GB, Context: 128K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.29.

  4bit Base model:finetune:unsloth/ll... Base model:unsloth/llama-3.2-3...   Conversational   En   Endpoints compatible   Instruct   Llama   Quantized   Region:us   Safetensors   Sharded   Tensorflow   Unsloth
Model Card on HF 🤗: https://huggingface.co/kingGreen6969/Llama-3.2-3B-Indonesian-Alpaca 

Llama 3.2 3B Indonesian Alpaca Benchmarks

LLME Score: 0.29035
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 3.2 3B Indonesian Alpaca (kingGreen6969/Llama-3.2-3B-Indonesian-Alpaca)

Llama 3.2 3B Indonesian Alpaca Parameters and Internals

LLM NameLlama 3.2 3B Indonesian Alpaca
Repository 🤗https://huggingface.co/kingGreen6969/Llama-3.2-3B-Indonesian-Alpaca 
Base Model(s)  unsloth/Llama-3.2-3B-Instruct-bnb-4bit   unsloth/Llama-3.2-3B-Instruct-bnb-4bit
Model Size3b
Required VRAM6.5 GB
Updated2026-07-23
MaintainerkingGreen6969
Model Typellama
Instruction-BasedYes
Model Files  5.0 GB: 1-of-2   1.5 GB: 2-of-2
Supported Languagesen
Quantization Type4bit
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Tokenizer ClassTokenizersBackend
Padding Token<|finetune_right_pad_id|>
Vocabulary Size128256
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than kingGreen6969/Llama-3.2-3B-Indonesian-Alpaca.

Rank the Llama 3.2 3B Indonesian Alpaca Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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