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Gabriel Martín Blázquez

@gabrielmb.com
1.8K followers 136 following 12 posts

ML Engineer @hf.co 🤗 Building tools for you to take care of your datasets like Argilla or distilabel!

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Gabriel Martín Blázquez @gabrielmb.com · 06/02/2025
SmolLM2 paper is out! We wrote a paper detailing the steps we took to train one of the best smol LM 🤏 out there: pre-training and post-training data, training ablations and some interesting findings 💡 Go check it out and don't hesitate to write your thoughts/questions in the comments section!
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Gabriel Martín Blázquez @gabrielmb.com · 27/01/2025
distilabel ⚗️ reached the 2k ⭐️ on GitHub!
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Lewis Tunstall @lewtun.bsky.social · 25/01/2025
We are reproducing the full DeepSeek R1 data and training pipeline so everybody can use their recipe. Instead of doing it in secret we can do it together in the open! Follow along: github.com/huggingface/...
github.com
GitHub - huggingface/open-r1: Fully open reproduction of DeepSeek-R1
Fully open reproduction of DeepSeek-R1. Contribute to huggingface/open-r1 development by creating an account on GitHub.
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Anton @anton-l.bsky.social · 19/12/2024
Introducing 📐FineMath: the best open math pre-training dataset with 50B+ tokens! Math remains challenging for LLMs and by training on FineMath we see considerable gains over other math datasets, especially on GSM8K and MATH. 🤗 huggingface.co/datasets/Hug... Here’s a breakdown 🧵
A plot showing increased performance of Llama-3.2-3B when pretrained on FineMath
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José Francisco Calvo @jfcalvo.hf.co · 19/12/2024
🚀 Argilla v2.6.0 is here! 🎉 Let me show you how EASY it is to export your annotated datasets from Argilla to the Hugging Face Hub. 🤩 Take a look to this quick demo 👇 💁‍♂️ More info about the release at github.com/argilla-io/a... #AI #MachineLearning #OpenSource #DataScience #HuggingFace #Argilla
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Gabriel Martín Blázquez @gabrielmb.com · 13/12/2024
How many regular expressions have you written without the help of an LLM since ChatGPT appeared?
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Thomas Wolf @thomwolf.bsky.social · 08/12/2024
The FineWeb team is happy to finally release "FineWeb2" 🥂🥳 FineWeb 2 extends the data driven approach to pre-training dataset design that was introduced in FineWeb 1 to now covers 1893 languages/scripts Details: huggingface.co/datasets/Hug... A detailed open-science tech report is coming soon
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Ben Burtenshaw @benburtenshaw.bsky.social · 03/12/2024
For anyone interested in fine-tuning or aligning LLMs, I’m running this free and open course called smol course. It’s not a big deal, it’s just smol. 🧵>>
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Gabriel Martín Blázquez @gabrielmb.com · 27/11/2024
It's just me or the latest Claude 3.5 Sonnet is too prone to generate code when asking technical questions not directly related to coding?
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Andi @andimara.bsky.social · 26/11/2024
Let's go! We are releasing SmolVLM, a smol 2B VLM built for on-device inference that outperforms all models at similar GPU RAM usage and tokens throughputs. SmolVLM can be fine-tuned on a Google collab and be run on a laptop! Or process millions of documents with a consumer GPU!
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Gabriel Martín Blázquez @gabrielmb.com · 26/11/2024
As part of the SmolTalk release, the dataset mixture used for @huggingface.bsky.social SmolLM2 model, we built a new version of the MagPie Ultra dataset using Llama 405B Instruct. It contains 1M rows of multi-turn conversations with diverse instructions! huggingface.co/datasets/arg...
huggingface.co
argilla/magpie-ultra-v1.0 · Datasets at Hugging Face
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
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Daniel Vila @dvilasuero.hf.co · 26/11/2024
Let's make AI more inclusive. At @huggingface.bsky.social we'll launch a huge community sprint soon to build high-quality training datasets for many languages. We're looking for Language Leads to help with outreach. Find your language and nominate yourself: forms.gle/iAJVauUQ3FN8...
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Daniel Vila @dvilasuero.hf.co · 24/11/2024
I am very excited to launch a new community initiative next week. Let's build the largest open community dataset to evaluate and improve image generation models. Follow: huggingface.co/data-is-bett... And stay tuned here
huggingface.co
data-is-better-together (Data Is Better Together)
Building better datasets together
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Loubna Ben Allal @loubnabnl.hf.co · 24/11/2024
Making SmolLM2 more reproducible: open-sourcing our training & evaluation toolkit 🛠️ github.com/huggingface/... Pre-training & evaluation code, synthetic data generation pipelines, post-training scripts, on-device tools & demos Apache 2.0. V2 data mix coming soon! Which tools should we add next?
github.com
GitHub - huggingface/smollm: Everything about the SmolLM & SmolLM2 family of models
Everything about the SmolLM & SmolLM2 family of models - GitHub - huggingface/smollm: Everything about the SmolLM & SmolLM2 family of models
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Gabriel Martín Blázquez @gabrielmb.com · 21/11/2024
Excited to announce the SFT dataset used for @huggingface.bsky.social SmolLM2! The dataset for SmolLM2 was created by combining multiple existing datasets and generating new synthetic datasets, including MagPie Ultra v1.0, using distilabel. Check out the dataset: huggingface.co/datasets/Hug...
huggingface.co
HuggingFaceTB/smoltalk · Datasets at Hugging Face
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
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Ben Burtenshaw @benburtenshaw.bsky.social · 21/11/2024
Here's a notebook where I do SFT SmolLM2 on the synthetic dataset: colab.research.google.com/drive/1lioed... thanks @philschmid.bsky.social for the finetuning code thanks @huggingface.bsky.social for the smol model thanks @qgallouedec.bsky.social and friends for TRL
colab.research.google.com
Google Colab
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Gabriel Martín Blázquez @gabrielmb.com · 20/11/2024
The great exile! For those who don’t know me, I’m Gabriel, ML Engineer at @huggingface.bsky.social where I work developing tools like distilabel or Argilla for you to take care of your data 🤗 The content of my posts here will be mainly related to synthetic data and LLM post-training.
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