content.raw: In the spirit of "Better late than never", I've finally written a brief overview paper for GEITje 7B Ultra. Initially released 10 months ago (oops), but still reaching around 1300 monthly downloads across the HF ecosystem (not including ollama). 
content.type: text
content.value: In the spirit of "Better late than never", I've finally written a brief overview paper for GEITje 7B Ultra. Initially released 10 months ago (oops), but still reaching around 1300 monthly downloads across the HF ecosystem (not including ollama). 
content.type: new_line
content.type: new_line
content.label: GEITje 7B Ultra: A Conversational Model for Dutch (2412.04092)
content.raw: https://huggingface.co/papers/2412.04092
content.id: 2412.04092
content.type: paper
content.type: resource
content.url: https://huggingface.co/papers/2412.04092
content.type: new_line
content.type: new_line
content.raw: While the paper discusses the model a little bit, I especially wanted to write about the datasets, which to this day seem an important asset for Dutch LLM training (SFT and preference tuning). We have a long way to go for Dutch, but publishing transparent and reproducible artefacts seems an important step to me, alongside having open discussions about data, bias, architectures.
content.type: text
content.value: While the paper discusses the model a little bit, I especially wanted to write about the datasets, which to this day seem an important asset for Dutch LLM training (SFT and preference tuning). We have a long way to go for Dutch, but publishing transparent and reproducible artefacts seems an important step to me, alongside having open discussions about data, bias, architectures.
content.type: new_line
content.type: new_line
content.raw: In that spirit, thanks are in order for the creation of GEITje 7B Ultra and all related datasets:
content.type: text
content.value: In that spirit, thanks are in order for the creation of GEITje 7B Ultra and all related datasets:
content.type: new_line
content.type: new_line
content.raw: - Michiel Buisman and UWV for providing the means to create the datasets
content.type: text
content.value: - Michiel Buisman and UWV for providing the means to create the datasets
content.type: new_line
content.raw: - Flemish Supercomputer Center (VSC) for the compute
content.type: text
content.value: - Flemish Supercomputer Center (VSC) for the compute
content.type: new_line
content.raw: - The Hugging Face Fellows and rest of the team for their discussions and insights
content.type: text
content.value: - The Hugging Face Fellows and rest of the team for their discussions and insights
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content.raw: - The Dutch NLP community, notably 
content.type: text
content.value: - The Dutch NLP community, notably 
content.raw: @Rijgersberg
content.type: mention
content.user: Rijgersberg
content.raw:   for building the base GEITje model and the fruitful discussions we've had
content.type: text
content.value:   for building the base GEITje model and the fruitful discussions we've had
content.type: new_line
content.type: new_line
content.raw: More to come, step by step!
content.type: text
content.value: More to come, step by step!
content.type: new_line
content.type: new_line
content.raw: https://huggingface.co/collections/BramVanroy/geitje-7b-ultra-65c1ee010ad80fd1f6a8f208
content.id: BramVanroy/geitje-7b-ultra-65c1ee010ad80fd1f6a8f208
content.type: collection
content.type: resource
content.url: https://huggingface.co/collections/BramVanroy/geitje-7b-ultra-65c1ee010ad80fd1f6a8f208
rawContent: In the spirit of "Better late than never", I've finally written a brief overview paper for GEITje 7B Ultra. Initially released 10 months ago (oops), but still reaching around 1300 monthly downloads across the HF ecosystem (not including ollama). 
  
  https://huggingface.co/papers/2412.04092
  
  While the paper discusses the model a little bit, I especially wanted to write about the datasets, which to this day seem an important asset for Dutch LLM training (SFT and preference tuning). We have a long way to go for Dutch, but publishing transparent and reproducible artefacts seems an important step to me, alongside having open discussions about data, bias, architectures.
  
  In that spirit, thanks are in order for the creation of GEITje 7B Ultra and all related datasets:
  
  - Michiel Buisman and UWV for providing the means to create the datasets
  - Flemish Supercomputer Center (VSC) for the compute
  - The Hugging Face Fellows and rest of the team for their discussions and insights
  - The Dutch NLP community, notably @Rijgersberg  for building the base GEITje model and the fruitful discussions we've had
  
  More to come, step by step!
  
  https://huggingface.co/collections/BramVanroy/geitje-7b-ultra-65c1ee010ad80fd1f6a8f208
reactions.reaction: 👀
reactions.users: John6666