SmolLM2: When Smol Goes Big -- Data-Centric Training of a Small Language Model
Paper
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2502.02737
•
Published
•
110
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Xenova
authored
a
paper
about 21 hours ago
Post
7506
Introducing 𝗼𝗽𝗲𝗻 𝗗𝗲𝗲𝗽-𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵 by Hugging Face! 💥
OpenAI's latest agentic app Deep Research seems really good... But it's closed, as usual.
⏱️ So with a team of cracked colleagues, we set ourselves a 24hours deadline to replicate and open-source Deep Research! ⏱️
➡️ We built open-Deep-Research, an entirely open agent that can: navigate the web autonomously, scroll and search through pages, download and manipulate files, run calculation on data...
We aimed for the best performance: are the agent's answers really rigorous?
On GAIA benchmark, Deep Research had 67% accuracy on the validation set.
➡️ open Deep Research is at 55% (powered by o1), it is:
- the best pass@1 solution submitted
- the best open solution 💪💪
And it's only getting started ! Please jump in, drop PRs, and let's bring it to the top !
Read the blog post 👉 https://huggingface.co/blog/open-deep-research
OpenAI's latest agentic app Deep Research seems really good... But it's closed, as usual.
⏱️ So with a team of cracked colleagues, we set ourselves a 24hours deadline to replicate and open-source Deep Research! ⏱️
➡️ We built open-Deep-Research, an entirely open agent that can: navigate the web autonomously, scroll and search through pages, download and manipulate files, run calculation on data...
We aimed for the best performance: are the agent's answers really rigorous?
On GAIA benchmark, Deep Research had 67% accuracy on the validation set.
➡️ open Deep Research is at 55% (powered by o1), it is:
- the best pass@1 solution submitted
- the best open solution 💪💪
And it's only getting started ! Please jump in, drop PRs, and let's bring it to the top !
Read the blog post 👉 https://huggingface.co/blog/open-deep-research
csabakecskemeti
posted
an
update
5 days ago
Post
1763
Check out my idea:
LLmaaS - Local LLM as a Service
With LLmaaS, I propose leveraging locally running LLMs as a service, providing a standardized way for websites to access and utilize them for LLM-powered operations directly on the user’s device.
Demo, code, more detailed description.
https://devquasar.com/llmaas/
https://github.com/csabakecskemeti/LLmaaS
https://youtu.be/OOWGr8jcP5Q
Call for contributors
Join me a develop the LLmaaS proxy to make this a generic purpose tool to leverage local LLMs on web. Build in security measures.
I'm looking for help to make the proxy more generic support multiple local LLM services without any change on the HTML side.
Also looking for ideas how to make the HTML par more modular and easy to use.
LLmaaS - Local LLM as a Service
With LLmaaS, I propose leveraging locally running LLMs as a service, providing a standardized way for websites to access and utilize them for LLM-powered operations directly on the user’s device.
Demo, code, more detailed description.
https://devquasar.com/llmaas/
https://github.com/csabakecskemeti/LLmaaS
https://youtu.be/OOWGr8jcP5Q
Call for contributors
Join me a develop the LLmaaS proxy to make this a generic purpose tool to leverage local LLMs on web. Build in security measures.
I'm looking for help to make the proxy more generic support multiple local LLM services without any change on the HTML side.
Also looking for ideas how to make the HTML par more modular and easy to use.
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- 4 replies
Post
2178
Welcome to the Doge Face Open Source Community! 🚀
Our goal is to explore the foundation of embodied intelligence for the next two years, which is indispensable – small language models. 🔬
We aim to open-source code and documentation to give everyone more time to slack off while working or studying! 🤗
👉 Repository name on Github: https://github.com/SmallDoges/small-doge
👉 Organization name on Hugging Face: https://huggingface.co/SmallDoge
Our goal is to explore the foundation of embodied intelligence for the next two years, which is indispensable – small language models. 🔬
We aim to open-source code and documentation to give everyone more time to slack off while working or studying! 🤗
👉 Repository name on Github: https://github.com/SmallDoges/small-doge
👉 Organization name on Hugging Face: https://huggingface.co/SmallDoge
Post
2476
Now you can launch a code agent directly from your terminal!
✨ 𝚜𝚖𝚘𝚕𝚊𝚐𝚎𝚗𝚝 "𝚈𝚘𝚞𝚛 𝚝𝚊𝚜𝚔" directly launches a CodeAgent
▶️ This also works with web agents (replace 𝚜𝚖𝚘𝚕𝚊𝚐𝚎𝚗𝚝 with 𝚠𝚎𝚋𝚊𝚐𝚎𝚗𝚝) thanks to @merve !
💾 Another treat from smolagents release 1.7.0:
Now agents have a memory mechanism, enabling many possibilities like replaying the last run with 𝚊𝚐𝚎𝚗𝚝.𝚛𝚎𝚙𝚕𝚊𝚢(), thank you @clefourrier !
Check the release notes here 👉 https://github.com/huggingface/smolagents/releases/tag/v1.7.0
✨ 𝚜𝚖𝚘𝚕𝚊𝚐𝚎𝚗𝚝 "𝚈𝚘𝚞𝚛 𝚝𝚊𝚜𝚔" directly launches a CodeAgent
▶️ This also works with web agents (replace 𝚜𝚖𝚘𝚕𝚊𝚐𝚎𝚗𝚝 with 𝚠𝚎𝚋𝚊𝚐𝚎𝚗𝚝) thanks to @merve !
💾 Another treat from smolagents release 1.7.0:
Now agents have a memory mechanism, enabling many possibilities like replaying the last run with 𝚊𝚐𝚎𝚗𝚝.𝚛𝚎𝚙𝚕𝚊𝚢(), thank you @clefourrier !
Check the release notes here 👉 https://github.com/huggingface/smolagents/releases/tag/v1.7.0
Post
370
🚀 Try Out RAG Demo! 🚀
A Hugging Face Space where you can compare DeepSeek-R1 vs Llama-3 using Stuff RAG (Retrieval-Augmented Generation)!
🔍 Upload a PDF, ask questions, and see how both models perform in real-time!
Try out now:
zamal/Deepseek-R1-vs-LLama3
A Hugging Face Space where you can compare DeepSeek-R1 vs Llama-3 using Stuff RAG (Retrieval-Augmented Generation)!
🔍 Upload a PDF, ask questions, and see how both models perform in real-time!
Try out now:
zamal/Deepseek-R1-vs-LLama3
- 1 reply
csabakecskemeti
posted
an
update
9 days ago
Post
2024
I've made an uncensored version of DeepSeek-R1-Distill-Llama-8B with merge. It's passing the "say f***" censor test.
Tested with lm-evaluation-harness on standard open llm leaderboard tests + hellaswag. Scores are improved in most. Details on the model card.
Model:
DevQuasar/DevQuasar-R1-Uncensored-Llama-8B
Quants:
DevQuasar/DevQuasar-R1-Uncensored-Llama-8B-GGUF
Tested with lm-evaluation-harness on standard open llm leaderboard tests + hellaswag. Scores are improved in most. Details on the model card.
Model:
DevQuasar/DevQuasar-R1-Uncensored-Llama-8B
Quants:
DevQuasar/DevQuasar-R1-Uncensored-Llama-8B-GGUF
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- 6 replies
Post
3579
𝗧𝗵𝗲 𝗛𝘂𝗯 𝘄𝗲𝗹𝗰𝗼𝗺𝗲𝘀 𝗲𝘅𝘁𝗲𝗿𝗻𝗮𝗹 𝗶𝗻𝗳𝗲𝗿𝗲𝗻𝗰𝗲 𝗽𝗿𝗼𝘃𝗶𝗱𝗲𝗿𝘀!
✅ Hosting our own inference was not enough: now the Hub 4 new inference providers: fal, Replicate, SambaNova Systems, & Together AI.
Check model cards on the Hub: you can now, in 1 click, use inference from various providers (cf video demo)
Their inference can also be used through our Inference API client. There, you can use either your custom provider key, or your HF token, then billing will be handled directly on your HF account, as a way to centralize all expenses.
💸 Also, PRO users get 2$ inference credits per month!
Read more in the announcement 👉 https://huggingface.co/blog/inference-providers
✅ Hosting our own inference was not enough: now the Hub 4 new inference providers: fal, Replicate, SambaNova Systems, & Together AI.
Check model cards on the Hub: you can now, in 1 click, use inference from various providers (cf video demo)
Their inference can also be used through our Inference API client. There, you can use either your custom provider key, or your HF token, then billing will be handled directly on your HF account, as a way to centralize all expenses.
💸 Also, PRO users get 2$ inference credits per month!
Read more in the announcement 👉 https://huggingface.co/blog/inference-providers
- 1 reply
Post
6930
AI is not a zero-sum game. Open-source AI is the tide that lifts all boats!
csabakecskemeti
posted
an
update
12 days ago
Post
2295
I've run the open llm leaderboard evaluations + hellaswag on
deepseek-ai/DeepSeek-R1-Distill-Llama-8B and compared to
meta-llama/Llama-3.1-8B-Instruct and at first glance R1 do not beat Llama overall.
If anyone wants to double check the results are posted here:
https://github.com/csabakecskemeti/lm_eval_results
Am I made some mistake, or (at least this distilled version) not as good/better than the competition?
I'll run the same on the Qwen 7B distilled version too.
If anyone wants to double check the results are posted here:
https://github.com/csabakecskemeti/lm_eval_results
Am I made some mistake, or (at least this distilled version) not as good/better than the competition?
I'll run the same on the Qwen 7B distilled version too.
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- 7 replies
Post
2858
Today we make the biggest release in smolagents so far: 𝘄𝗲 𝗲𝗻𝗮𝗯𝗹𝗲 𝘃𝗶𝘀𝗶𝗼𝗻 𝗺𝗼𝗱𝗲𝗹𝘀, 𝘄𝗵𝗶𝗰𝗵 𝗮𝗹𝗹𝗼𝘄𝘀 𝘁𝗼 𝗯𝘂𝗶𝗹𝗱 𝗽𝗼𝘄𝗲𝗿𝗳𝘂𝗹 𝘄𝗲𝗯 𝗯𝗿𝗼𝘄𝘀𝗶𝗻𝗴 𝗮𝗴𝗲𝗻𝘁𝘀! 🥳
Our agents can now casually open up a web browser, and navigate on it by scrolling, clicking elements on the webpage, going back, just like a user would.
The demo below shows Claude-3.5-Sonnet browsing GitHub for task: "Find how many commits the author of the current top trending repo did over last year."
Hi @mlabonne !
Go try it out, it's the most cracked agentic stuff I've seen in a while 🤯 (well, along with OpenAI's Operator who beat us by one day)
For more detail, read our announcement blog 👉 https://huggingface.co/blog/smolagents-can-see
The code for the web browser example is here 👉 https://github.com/huggingface/smolagents/blob/main/examples/vlm_web_browser.py
Our agents can now casually open up a web browser, and navigate on it by scrolling, clicking elements on the webpage, going back, just like a user would.
The demo below shows Claude-3.5-Sonnet browsing GitHub for task: "Find how many commits the author of the current top trending repo did over last year."
Hi @mlabonne !
Go try it out, it's the most cracked agentic stuff I've seen in a while 🤯 (well, along with OpenAI's Operator who beat us by one day)
For more detail, read our announcement blog 👉 https://huggingface.co/blog/smolagents-can-see
The code for the web browser example is here 👉 https://github.com/huggingface/smolagents/blob/main/examples/vlm_web_browser.py
- 3 replies
Post
1653
🤩warmup -> stable -> decay leanring rate scheduler:
😎use the Stable Phase CheckPoints to Continue Training the model on Any New Dataset without spikes of the training!!!
SmallDoge/Doge-20M-checkpoint
SmallDoge/Doge-60M-checkpoint
😎use the Stable Phase CheckPoints to Continue Training the model on Any New Dataset without spikes of the training!!!
SmallDoge/Doge-20M-checkpoint
SmallDoge/Doge-60M-checkpoint
- 4 replies
sarahooker
authored
6
papers
18 days ago
Multilingual Arbitrage: Optimizing Data Pools to Accelerate Multilingual Progress
Paper
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2408.14960
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Published
Mix Data or Merge Models? Optimizing for Diverse Multi-Task Learning
Paper
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2410.10801
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Published
INCLUDE: Evaluating Multilingual Language Understanding with Regional Knowledge
Paper
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2411.19799
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Published
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11
Global MMLU: Understanding and Addressing Cultural and Linguistic Biases in Multilingual Evaluation
Paper
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2412.03304
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Published
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17
IrokoBench: A New Benchmark for African Languages in the Age of Large Language Models
Paper
•
2406.03368
•
Published
Bridging the Data Provenance Gap Across Text, Speech and Video
Paper
•
2412.17847
•
Published
•
8
Post
2070
Only a single RTX 4090 running model pre-training is really slow, even for small language models!!! (https://huggingface.co/collections/JingzeShi/doge-slm-677fd879f8c4fd0f43e05458)
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- 2 replies