GEITje 7B Chat AWQ by TheBloke

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  4-bit   Autotrain compatible   Awq Base model:quantized:rijgersbe... Base model:rijgersberg/geitje-...   Conversational Dataset:rijgersberg/no robots ... Dataset:rijgersberg/ultrachat ...   Geitje   Generated from trainer   Mistral   Nl   Quantized   Region:us   Safetensors

GEITje 7B Chat AWQ Benchmarks

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 AWQ (TheBloke/GEITje-7B-chat-AWQ)

GEITje 7B Chat AWQ Parameters and Internals

Model Type 
conversational
Use Cases 
Areas:
Language modeling, Conversational AI
Applications:
Chat applications
Primary Use Cases:
Following instructions, Answering questions, Holding dialogues
Additional Notes 
GEITje has been fine-tuned specifically for Dutch text.
Supported Languages 
nl (high)
Training Details 
Data Sources:
Dutch Gigacorpus, MADLAD-400
Data Volume:
10 billion tokens
Methodology:
full-parameter finetune
Context Length:
8192
Model Architecture:
Mistral 7B architecture
Input Output 
Input Format:
<|user|> {prompt} <|assistant|>
Accepted Modalities:
text
Output Format:
text
Performance Tips:
Use the AWQ method for optimized performance.
LLM NameGEITje 7B Chat AWQ
Repository ๐Ÿค—https://huggingface.co/TheBloke/GEITje-7B-chat-AWQ 
Model NameGeitje 7B Chat
Model CreatorEdwin Rijgersberg
Base Model(s)  GEITje 7B Chat   Rijgersberg/GEITje-7B-chat
Model Size7b
Required VRAM4.2 GB
Updated2025-06-01
MaintainerTheBloke
Model Typemistral
Model Files  4.2 GB
Supported Languagesnl
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.35.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typefloat16

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

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227