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Vietrag 7B V1.0 by llm4fun

 »  All LLMs  »  llm4fun  »  Vietrag 7B V1.0   URL Share it on

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  Autotrain compatible   Endpoints compatible   Llama   Pytorch   Region:us   Safetensors   Sharded   Tensorflow   Vi
Model Card on HF 🤗: https://huggingface.co/llm4fun/vietrag-7b-v1.0 

Vietrag 7B V1.0 Benchmarks

LLME Score: 0.15345
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Vietrag 7B V1.0 (llm4fun/vietrag-7b-v1.0)

Vietrag 7B V1.0 Parameters and Internals

Model Type 
Causal Language Model
Additional Notes 
The model is designed to generate text in Vietnamese. It can be customized for different tasks by modifying the instruction parts in the prompt.
Supported Languages 
Vietnamese (Fluent)
Input Output 
Input Format:
Text-based prompt following a specified template with instruction and context.
Accepted Modalities:
text
Output Format:
Text
LLM NameVietrag 7B V1.0
Repository 🤗https://huggingface.co/llm4fun/vietrag-7b-v1.0 
Model Size7b
Required VRAM13.5 GB
Updated2025-02-22
Maintainerllm4fun
Model Typellama
Model Files  10.0 GB: 1-of-2   3.5 GB: 2-of-2   10.0 GB: 1-of-2   3.5 GB: 2-of-2
Supported Languagesvi
Model ArchitectureLlamaForCausalLM
Context Length4096
Model Max Length4096
Transformers Version4.34.1
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than llm4fun/vietrag-7b-v1.0.

Rank the Vietrag 7B V1.0 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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Release v20241227
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