The Hugging Face research team is doing an AMA on r/LocalLlaMa tomorrow! š
Join if you are interested in:
> How did we get into the field? We cover a broad range of backgrounds and paths!
> How can you do impactful things while being more limited in resources than other labs?ā¦
Our science team at @huggingface will be doing an AMA on r/LocalLLaMA tomorrow at 8AM PST (5PM CET). The team members behind SmolLM, SmolVLM, FineWeb, and more will be present to answer all your questions!
Super excited to announce that our research team at @huggingface will be doing an AMA on r/LocalLLaMA.
Come ask any questions to the team behind SmolLM, FineWeb and more! And who knows, maybe thereāll be a shiny new release to talk about?
Thursday 4th September, 8AM-11AM PSTā¦
We donāt give nearly enough credit to the people and organizations who build and share open AI datasets.
In fact, Iād argue they matter even more than open models:
- theyāre foundational, enabling hundreds of different models
- they remove not only technical but also legalā¦
We donāt give nearly enough credit to the people and organizations who build and share open AI datasets.
In fact, Iād argue they matter even more than open models:
- theyāre foundational, enabling hundreds of different models
- they remove not only technical but also legalā¦
āToday, models donāt just consume data ā they help create them.ā
ā @SebastienBubeck, GPT-5 announcement
Each new GPT generation has been defined by a different breakthrough:
⢠GPT-3: scale on raw internet data
⢠GPT-4: scale on instruction tuning
⢠o1: RLVR training
⢠GPT-5:ā¦
SmolLM3 just dropped!
It's the first large-scale LLM pre-trained on FW-2, which makes it fully fluent on 5+ new languages beyond English š.
By making the model both smol and multilingual, we're taking a real step toward ensuring more people can access and benefit from LLMs
SmolLM3 just dropped!
It's the first large-scale LLM pre-trained on FW-2, which makes it fully fluent on 5+ new languages beyond English š.
By making the model both smol and multilingual, we're taking a real step toward ensuring more people can access and benefit from LLMs https://t.co/SbyR9uydwS
Introducing SmolLM3: a strong, smol reasoner!
> SoTA 3B model
> dual mode reasoning (think/no_think)
> long context, up to 128k
> multilingual: en, fr, es, de, it, pt
> fully open source (data, code, recipes)
huggingface.co/blog/smollm3
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bi, he/him
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