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Saul Instruct V1 Gdpr Finetuned V1.2 by sims2k

 »  All LLMs  »  sims2k  »  Saul Instruct V1 Gdpr Finetuned V1.2   URL Share it on

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Saul Instruct V1 Gdpr Finetuned V1.2 is an open-source language model by sims2k. Features: 7b LLM, VRAM: 28.4GB, Context: 32K, License: mit, Fine-Tuned, Instruction-Based, LLM Explorer Score: 0.14.

Base model:equall/saul-7b-inst... Base model:finetune:equall/sau...   Conversational   Data protection Dataset:sims2k/gdpr qa instruc...   En   Endpoints compatible   English   Finetuned   Gdpr   Instruct   Law   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/sims2k/Saul-Instruct-v1-gdpr-finetuned-v1.2 

Saul Instruct V1 Gdpr Finetuned V1.2 Benchmarks

LLME Score: 0.14321
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Saul Instruct V1 Gdpr Finetuned V1.2 (sims2k/Saul-Instruct-v1-gdpr-finetuned-v1.2)
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Saul Instruct V1 Gdpr Finetuned V1.2 Parameters and Internals

Model Type 
Legal Compliance, Text Generation
Use Cases 
Areas:
GDPR compliance, Data audits, Legal advisory, Data protection
Applications:
Data audits, Legal advisory, Ensuring GDPR adherence for data controllers and processors
Primary Use Cases:
GDPR compliance tasks
Limitations:
May face challenges in handling edge cases or complex legal nuances
Considerations:
Focus on GDPR compliance and legal validity.
Additional Notes 
Focus on optimizing the model for handling GDPR compliance tasks with accurate responses aligned with regulations.
Supported Languages 
en (High proficiency)
Training Details 
Data Sources:
GDPR articles, Legal FAQs, Guidelines, Recommendations, and Best Practices from the European Data Protection Board (EDPB)
Methodology:
QLoRA (Quantized Low-Rank Adaptation)
Hardware Used:
bwUniCluster 2.0 computing facility, Tesla V100 GPUs
LLM NameSaul Instruct V1 Gdpr Finetuned V1.2
Repository 🤗https://huggingface.co/sims2k/Saul-Instruct-v1-gdpr-finetuned-v1.2 
Base Model(s)  Saul 7B Instruct V1   Equall/Saul-7B-Instruct-v1
Model Size7b
Required VRAM28.4 GB
Updated2026-01-17
Maintainersims2k
Model Typemistral
Instruction-BasedYes
Model Files  4.8 GB: 1-of-6   4.8 GB: 2-of-6   5.0 GB: 3-of-6   5.0 GB: 4-of-6   4.8 GB: 5-of-6   4.0 GB: 6-of-6
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licensemit
Context Length32768
Model Max Length32768
Transformers Version4.42.3
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16

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Mixtral AI CyberCoder32K / 14.3 GB00
Note: green Score (e.g. "73.2") means that the model is better than sims2k/Saul-Instruct-v1-gdpr-finetuned-v1.2.

Rank the Saul Instruct V1 Gdpr Finetuned V1.2 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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