Vinallama 2.7B by vilm

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  Arxiv:2312.11011   Autotrain compatible   Endpoints compatible   Llama   Pytorch   Region:us   Safetensors   Vi
Model Card on HF ๐Ÿค—: https://huggingface.co/vilm/vinallama-2.7b 

Vinallama 2.7B Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Vinallama 2.7B (vilm/vinallama-2.7b)
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Vinallama 2.7B Parameters and Internals

Model Type 
LLMs
Supported Languages 
vi (state-of-the-art)
LLM NameVinallama 2.7B
Repository ๐Ÿค—https://huggingface.co/vilm/vinallama-2.7b 
Model Size2.7b
Required VRAM5.5 GB
Updated2025-09-23
Maintainervilm
Model Typellama
Model Files  5.5 GB   5.5 GB
Supported Languagesvi
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length4096
Model Max Length4096
Transformers Version4.34.1
Tokenizer ClassLlamaTokenizer
Padding Token<pad>
Vocabulary Size46304
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than vilm/vinallama-2.7b.

Rank the Vinallama 2.7B 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