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Vigostral 7B Chat GPTQ by TheBloke

 »  All LLMs  »  TheBloke  »  Vigostral 7B Chat GPTQ   URL Share it on

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  4-bit   Autotrain compatible Base model:bofenghuang/vigostr... Base model:quantized:bofenghua...   Conversational   Finetuned   Fr   Gptq   Mistral   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/TheBloke/Vigostral-7B-Chat-GPTQ 

Vigostral 7B Chat GPTQ Benchmarks

LLME Score: 0.1161
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Vigostral 7B Chat GPTQ (TheBloke/Vigostral-7B-Chat-GPTQ)
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Vigostral 7B Chat GPTQ Parameters and Internals

Model Type 
text-generation
Use Cases 
Areas:
research, commercial applications
Limitations:
generates harmful or biased content, incorrect information, generally unhelpful answers
Supported Languages 
French (native)
Training Details 
Data Sources:
GPT-3.5-Turbo and GPT-4, French news
Methodology:
fine-tuning
Input Output 
Input Format:
Prompt format based on Llama-2 chat.
Accepted Modalities:
text
Output Format:
text
LLM NameVigostral 7B Chat GPTQ
Repository 🤗https://huggingface.co/TheBloke/Vigostral-7B-Chat-GPTQ 
Model NameVigostral 7B Chat
Model Creatorbofeng huang
Base Model(s)  Vigostral 7B Chat   bofenghuang/vigostral-7b-chat
Model Size7b
Required VRAM4.2 GB
Updated2025-09-26
MaintainerTheBloke
Model Typemistral
Model Files  4.2 GB
Supported Languagesfr
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.34.0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Vigostral-7B-Chat-GPTQ.

Rank the Vigostral 7B Chat GPTQ 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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Release v20241124
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