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GEITje 7B Chat V2 by Rijgersberg

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  Autotrain compatible Base model:finetune:rijgersber... Base model:rijgersberg/geitje-...   Conversational Dataset:bramvanroy/dutch chat ... Dataset:rijgersberg/no robots ... Dataset:rijgersberg/ultrachat ...   Endpoints compatible   Geitje   Generated from trainer   Mistral   Nl   Region:us   Safetensors   Tensorboard
Model Card on HF 🤗: https://huggingface.co/Rijgersberg/GEITje-7B-chat-v2 

GEITje 7B Chat V2 Benchmarks

ARC: 50.34 vs 96.7 (so35)-47.9%
HellaSwag: 74.13 vs 95.3 (gpt4)-22.2%
MMLU: 49 vs 88.3 (so35)-44.5%
TruthfulQA: 43.55 vs 59 (gpt4)-26.2%
WinoGrande: 71.51 vs 87.5 (gpt4)-18.3%
GSM8K: 16.22 vs 96.4 (so35)-83.2%
LLME Score: 0.17165
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 V2 (Rijgersberg/GEITje-7B-chat-v2)

GEITje 7B Chat V2 Parameters and Internals

Model Type 
text-generation, conversational
Use Cases 
Areas:
text generation, conversational applications
Applications:
research, commercial applications
Primary Use Cases:
Instructions following, question answering, dialogues on various topics
Additional Notes 
This model has been further trained on Dutch texts to improve its proficiency in the Dutch language and knowledge on Dutch topics.
Supported Languages 
nl (Dutch (primary))
Training Details 
Data Sources:
Rijgersberg/no_robots_nl, Rijgersberg/ultrachat_10k_nl, BramVanroy/dutch_chat_datasets, Dutch Gigacorpus, MADLAD-400
Data Volume:
10 billion tokens
Methodology:
Full-parameter finetune
Context Length:
8192
Model Architecture:
Based on Mistral 7B
LLM NameGEITje 7B Chat V2
Repository 🤗https://huggingface.co/Rijgersberg/GEITje-7B-chat-v2 
Base Model(s)  GEITje 7B   Rijgersberg/GEITje-7B
Model Size7b
Required VRAM0 GB
Updated2025-05-12
MaintainerRijgersberg
Model Typemistral
Model Files  0.0 GB
Supported Languagesnl
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.36.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than Rijgersberg/GEITje-7B-chat-v2.

Rank the GEITje 7B Chat V2 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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Release v20241227
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