GEITje 7B Chat GGUF by TheBloke

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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

GEITje 7B Chat GGUF Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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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 ๐Ÿค—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
Updated2025-06-09
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
GEITje 7B Chat GGUF (TheBloke/GEITje-7B-chat-GGUF)

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

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124