Malaysian Llama 3 8B Instruct 16K Post by mesolitica

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  Autotrain compatible   Conversational   Endpoints compatible   Instruct   Llama   Region:us   Safetensors   Sharded   Tensorflow

Malaysian Llama 3 8B Instruct 16K Post Benchmarks

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 8B Instruct 16K Post (mesolitica/malaysian-llama-3-8b-instruct-16k-post)

Malaysian Llama 3 8B Instruct 16K Post Parameters and Internals

Model Type 
text generation, instruct
Supported Languages 
Malay (high)
LLM NameMalaysian Llama 3 8B Instruct 16K Post
Repository ๐Ÿค—https://huggingface.co/mesolitica/malaysian-llama-3-8b-instruct-16k-post 
Model Size8b
Required VRAM16.1 GB
Updated2025-02-22
Maintainermesolitica
Model Typellama
Instruction-BasedYes
Model Files  5.0 GB: 1-of-4   5.0 GB: 2-of-4   4.9 GB: 3-of-4   1.2 GB: 4-of-4
Model ArchitectureLlamaForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.41.2
Tokenizer ClassPreTrainedTokenizerFast
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-3-8b-instruct-16k-post.

Rank the Malaysian Llama 3 8B Instruct 16K Post 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 v20241227