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🚀 Today, we are introducing SmolTools! 🚀 Last week, at Hugging Face we made a significant leap forward with the release of SmolLM2, a compact 1.7B language model that sets a new benchmark for performance among models of its size. But beyond the impressive stats, SmolLM2 truly shines in...

100,813 просмотров • 1 год назад •via X (Twitter)

Комментарии: 11

Фото профиля Daniel Nakov
Daniel Nakov1 год назад

@andi_marafioti great stuff! i've been finetuning SmolLM2-135M recently and really liking the results and speed of iteration it allows for

Фото профиля Tom Bielecki
Tom Bielecki1 год назад

@andi_marafioti @simonw check out SmolAgent for local tool calling

Фото профиля ASSEM
ASSEM1 год назад

@andi_marafioti Great Job, congrats to @LoubnaBenAllal1 Team.

Фото профиля Thorsten Linz
Thorsten Linz1 год назад

@andi_marafioti @Thom_Wolf @Thom_Wolf, what are your thoughts on SmolTools' efficiency? Do you foresee widespread adoption in the AI community?

Фото профиля Reza Sayar
Reza Sayar1 год назад

@andi_marafioti 🔥🔥y este temazo!! 🎶🇦🇷

Фото профиля Andi Marafioti
Andi Marafioti1 год назад

Subliminal 😂

Фото профиля Nemesis Alm
Nemesis Alm1 год назад

@andi_marafioti Looking forward to trying it! Thanks for sharing

Фото профиля Uri Gil
Uri Gil1 год назад

@andi_marafioti Nice

Фото профиля ASSEM
ASSEM1 год назад

@andi_marafioti @LoubnaBenAllal1 Very interesting and great work to be honest, can't wait to try it.

Фото профиля Laurent Denoue
Laurent Denoue1 год назад

@andi_marafioti What is the doc for the max output tokens? Is it limited to 8.192 like the other models or is it longer? I ask because my task is to punctuate longer texts and it’s cumbersome to chunk apriori

Фото профиля Andi Marafioti
Andi Marafioti1 год назад

This is using the same smollm2 instruct 1.7B model that was released last week, so the context size is still 8k. Honestly, I find the performance for rewriting is best for shorter texts.

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