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Malaysian Llama 3.2 3B Instruct V1 by mesolitica

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Malaysian Llama 3.2 3B Instruct V1 is an open-source language model by mesolitica. Features: 3b LLM, VRAM: 7.2GB, Context: 128K, Instruction-Based, LLM Explorer Score: 0.16.

  En   Instruct   Llama   Ms   Region:us   Safetensors   Sharded   Ta   Tensorflow   Zh
Model Card on HF 🤗: https://huggingface.co/mesolitica/Malaysian-Llama-3.2-3B-Instruct-v1 

Malaysian Llama 3.2 3B Instruct V1 Benchmarks

LLME Score: 0.16138
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Malaysian Llama 3.2 3B Instruct V1 (mesolitica/Malaysian-Llama-3.2-3B-Instruct-v1)
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Malaysian Llama 3.2 3B Instruct V1 Parameters and Internals

LLM NameMalaysian Llama 3.2 3B Instruct V1
Repository 🤗https://huggingface.co/mesolitica/Malaysian-Llama-3.2-3B-Instruct-v1 
Model Size3b
Required VRAM7.2 GB
Updated2025-05-03
Maintainermesolitica
Model Typellama
Instruction-BasedYes
Model Files  5.0 GB: 1-of-2   2.2 GB: 2-of-2
Supported Languagesms en zh ta
Model ArchitectureLlamaForCausalLM
Context Length131072
Model Max Length131072
Transformers Version4.45.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|finetune_right_pad_id|>
Vocabulary Size128256
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than mesolitica/Malaysian-Llama-3.2-3B-Instruct-v1.

Rank the Malaysian Llama 3.2 3B Instruct V1 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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