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GEITje 7B Chat GGUF by TheBloke

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GEITje 7B Chat GGUF is an open-source language model by TheBloke. Features: 7b LLM, VRAM: 3.1GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.11.

Base model:quantized:rijgersbe... Base model:rijgersberg/geitje-...   Conversational Dataset:rijgersberg/no robots ... Dataset:rijgersberg/ultrachat ...   Geitje   Generated from trainer   Gguf   Mistral   Nl   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/TheBloke/GEITje-7B-chat-GGUF 

GEITje 7B Chat GGUF Benchmarks

LLME Score: 0.10926
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
GEITje 7B Chat GGUF (TheBloke/GEITje-7B-chat-GGUF)
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GEITje 7B Chat GGUF Parameters and Internals

Model Type 
mistral, conversational
Supported Languages 
nl (High)
Training Details 
Data Sources:
Rijgersberg/no_robots_nl, Rijgersberg/ultrachat_10k_nl, Dutch Gigacorpus, MADLAD-400
Data Volume:
10 billion tokens
Methodology:
full-parameter finetune
Context Length:
8192
Model Architecture:
Mistral 7B
Input Output 
Input Format:
<|user|> {prompt} <|assistant|>
Accepted Modalities:
text
Output Format:
text
LLM NameGEITje 7B Chat GGUF
Repository 🤗https://huggingface.co/TheBloke/GEITje-7B-chat-GGUF 
Model NameGeitje 7B Chat
Model CreatorEdwin Rijgersberg
Base Model(s)  GEITje 7B Chat   Rijgersberg/GEITje-7B-chat
Model Size7b
Required VRAM3.1 GB
Updated2026-05-04
MaintainerTheBloke
Model Typemistral
Model Files  3.1 GB   3.8 GB   3.5 GB   3.2 GB   4.1 GB   4.4 GB   4.1 GB   5.0 GB   5.1 GB   5.0 GB   5.9 GB   7.7 GB
Supported Languagesnl
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureAutoModel
Licenseapache-2.0

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/GEITje-7B-chat-GGUF.

Rank the GEITje 7B Chat GGUF 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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