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Vistral Legal Chat Q4 by chillies

 »  All LLMs  »  chillies  »  Vistral Legal Chat Q4   URL Share it on

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Base model:quantized:viet-mist... Base model:viet-mistral/vistra...   Conversational Dataset:chillies/vn-legal-conv...   En   Endpoints compatible   Gguf   Mistral   Q4   Quantized   Region:us   Unsloth   Vi   Vistral
Model Card on HF 🤗: https://huggingface.co/chillies/vistral-legal-chat-q4 

Vistral Legal Chat Q4 Benchmarks

LLME Score: 0.18926
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Vistral Legal Chat Q4 (chillies/vistral-legal-chat-q4)

Vistral Legal Chat Q4 Parameters and Internals

Model Type 
text-generation-inference, transformers
Use Cases 
Areas:
research, commercial applications
Applications:
legal advice in Vietnamese law
Primary Use Cases:
providing legal advice
Limitations:
Not up-to-date with latest legal changes, Possible biases in training data
Supported Languages 
en (English), vi (Vietnamese)
Training Details 
Data Sources:
chillies/vn-legal-conversation
Data Volume:
31,000 question-answer pairs
Methodology:
QLoRA fine-tuning
Input Output 
Input Format:
Text inputs
Accepted Modalities:
text
Output Format:
Text outputs
LLM NameVistral Legal Chat Q4
Repository 🤗https://huggingface.co/chillies/vistral-legal-chat-q4 
Base Model(s)  Viet-Mistral/Vistral-7B-Chat   Viet-Mistral/Vistral-7B-Chat
Model Size7b
Required VRAM4.4 GB
Updated2025-02-22
Maintainerchillies
Model Typemistral
Model Files  4.4 GB
Supported Languagesen vi
GGUF QuantizationYes
Quantization Typegguf|q4
Model ArchitectureAutoModel
Licenseapache-2.0

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Note: green Score (e.g. "73.2") means that the model is better than chillies/vistral-legal-chat-q4.

Rank the Vistral Legal Chat Q4 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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