content.raw: 🙋🏻‍♂️ Hey there folks ,
content.type: text
content.value: 🙋🏻‍♂️ Hey there folks ,
content.type: new_line
content.type: new_line
content.raw: 🦎Salamandra release by 
content.type: text
content.value: 🦎Salamandra release by 
content.raw: @mvillegas
content.type: mention
content.user: mvillegas
content.raw:  and team
content.type: text
content.value:  and team
content.type: new_line
content.raw: @BSC_CNS 
content.type: text
content.value: @BSC_CNS 
content.image: https://cdn-avatars.huggingface.co/v1/production/uploads/60538e733efc404ddc7c0c0d/KNnLPW5-_JjQfFwARMmPX.png
content.raw: https://huggingface.co/BSC-LT
content.id: BSC-LT
content.type: org
content.type: resource
content.url: https://huggingface.co/BSC-LT
content.raw:  is absolutely impressive so far !
content.type: text
content.value:  is absolutely impressive so far !
content.type: new_line
content.type: new_line
content.raw: perhaps the largest single training dataset of high quality text to date of 7.8 trillion tokens in 35 European languages and code.
content.type: text
content.value: perhaps the largest single training dataset of high quality text to date of 7.8 trillion tokens in 35 European languages and code.
content.type: new_line
content.type: new_line
content.raw: the best part : the data was correctly licenced so it's actually future-proof! 
content.type: text
content.value: the best part : the data was correctly licenced so it's actually future-proof! 
content.type: new_line
content.type: new_line
content.raw: the completions model is really creative and instruct fine tuned version is very good also.
content.type: text
content.value: the completions model is really creative and instruct fine tuned version is very good also.
content.type: new_line
content.type: new_line
content.raw: now you can use such models for multi-lingual enterprise applications with further finetunes , long response generation, structured outputs (coding) also works.
content.type: text
content.value: now you can use such models for multi-lingual enterprise applications with further finetunes , long response generation, structured outputs (coding) also works.
content.type: new_line
content.type: new_line
content.raw: check out 👇🏻
content.type: text
content.value: check out 👇🏻
content.type: new_line
content.raw: the collection : 
content.type: text
content.value: the collection : 
content.raw: https://huggingface.co/collections/BSC-LT/salamandra-66fc171485944df79469043a
content.id: BSC-LT/salamandra-66fc171485944df79469043a
content.type: collection
content.type: resource
content.url: https://huggingface.co/collections/BSC-LT/salamandra-66fc171485944df79469043a
content.type: new_line
content.raw: the repo : 
content.type: text
content.value: the repo : 
content.href: https://github.com/langtech-bsc/salamandra
content.raw: https://github.com/langtech-bsc/salamandra
content.type: link
content.type: new_line
content.raw: 7B-Instruct demo : 
content.type: text
content.value: 7B-Instruct demo : 
content.raw: https://huggingface.co/spaces/Tonic/Salamandra-7B
content.id: Tonic/Salamandra-7B
content.type: space
content.type: resource
content.url: https://huggingface.co/spaces/Tonic/Salamandra-7B
rawContent: 🙋🏻‍♂️ Hey there folks ,
  
  🦎Salamandra release by @mvillegas and team
  @BSC_CNS https://huggingface.co/BSC-LT is absolutely impressive so far !
  
  perhaps the largest single training dataset of high quality text to date of 7.8 trillion tokens in 35 European languages and code.
  
  the best part : the data was correctly licenced so it's actually future-proof! 
  
  the completions model is really creative and instruct fine tuned version is very good also.
  
  now you can use such models for multi-lingual enterprise applications with further finetunes , long response generation, structured outputs (coding) also works.
  
  check out 👇🏻
  the collection : https://huggingface.co/collections/BSC-LT/salamandra-66fc171485944df79469043a
  the repo : https://github.com/langtech-bsc/salamandra
  7B-Instruct demo : https://huggingface.co/spaces/Tonic/Salamandra-7B
reactions.reaction: 👀
reactions.users: John6666 monsoon-nlp malteos D1rtyB1rd jayebaku LuisVasquezBSC ibaucells