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Vistral 7B Chat by minhtt

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  Autotrain compatible   Conversational   Endpoints compatible   Large language models   Mistral   Pytorch   Region:us   Safetensors   Sharded   Tensorflow   Vi   Vietnamese
Model Card on HF 🤗: https://huggingface.co/minhtt/vistral-7b-chat 

Vistral 7B Chat Benchmarks

LLME Score: 0.16103
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Vistral 7B Chat (minhtt/vistral-7b-chat)

Vistral 7B Chat Parameters and Internals

Model Type 
LLMs, NLP, Large Language Models
Supported Languages 
vi (Full)
LLM NameVistral 7B Chat
Repository 🤗https://huggingface.co/minhtt/vistral-7b-chat 
Model Size7b
Required VRAM14.6 GB
Updated2025-04-29
Maintainerminhtt
Model Typemistral
Model Files  10.0 GB: 1-of-2   4.6 GB: 2-of-2   10.0 GB: 1-of-2   4.6 GB: 2-of-2
Supported Languagesvi
Model ArchitectureMistralForCausalLM
Licenseafl-3.0
Context Length32768
Model Max Length32768
Transformers Version4.34.0
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size38369
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than minhtt/vistral-7b-chat.

Rank the Vistral 7B Chat 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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