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Luis Vasquez
LuisVasquezBSC
AI & ML interests
NLP @ BSC
Recent Activity
new activity 6 days ago
BSC-LT/ALIA-40b-instruct-2606:Correct info about SFT datasets new activity 12 days ago
BSC-LT/ALIA-40b-instruct-2606:Fix typo in URL updated a Space 6 months ago
langtech-annotators/redteamOrganizations
Correct info about SFT datasets
#2 opened 6 days ago
by 
LuisVasquezBSC
Fix typo in URL
#1 opened 12 days ago
by LuisVasquezBSC
updated a
Space 6 months ago
liked a
Space over 1 year ago
liked a
dataset over 1 year ago
Tutorial: Use Llama-Guard-3-8B as a classifier AND get safety categories
1
#21 opened over 1 year ago
by LuisVasquezBSC
Tutorial: Use Llama-Guard-3-8B as a classifier AND get safety categories
1
#21 opened over 1 year ago
by LuisVasquezBSC
updated 4
datasets almost 2 years ago
Upload folder using huggingface_hub
#1 opened almost 2 years ago
by 
LuisVasquezBSC
Upload folder using huggingface_hub
#4 opened almost 2 years ago
by LuisVasquezBSC
Upload folder using huggingface_hub
#5 opened almost 2 years ago
by LuisVasquezBSC
Upload folder using huggingface_hub
#6 opened almost 2 years ago
by LuisVasquezBSC
reacted to Tonic's post with 👀 almost 2 years ago
Post
1884
🙋🏻♂️ Hey there folks ,
🦎Salamandra release by @mvillegas and team
@BSC_CNS 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 : BSC-LT/salamandra-66fc171485944df79469043a
the repo : https://github.com/langtech-bsc/salamandra
7B-Instruct demo : Tonic/Salamandra-7B
🦎Salamandra release by @mvillegas and team
@BSC_CNS
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 : BSC-LT/salamandra-66fc171485944df79469043a
the repo : https://github.com/langtech-bsc/salamandra
7B-Instruct demo : Tonic/Salamandra-7B
liked a
Space almost 2 years ago
liked a
Space about 2 years ago