open-r1/OpenThoughts-114k-math
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guipenedoย
updated
a
dataset
about 19 hours ago
lewtunย
updated
a
collection
about 21 hours ago
cfahlgren1ย
posted
an
update
2 days ago
Post
1636
If you haven't seen yet, we just released Inference Providers ๐
> 4 new serverless inference providers on the Hub ๐คฏ
> Use your HF API key or personal key with all providers ๐
> Chat with Deepseek R1, V3, and more on HF Hub ๐
> We support Sambanova, TogetherAI, Replicate, and Fal.ai ๐ช
Best of all, we don't charge any markup on top of the provider ๐ซฐ Have you tried it out yet? HF Pro accounts get $2 of free usage for the provider inference.
> 4 new serverless inference providers on the Hub ๐คฏ
> Use your HF API key or personal key with all providers ๐
> Chat with Deepseek R1, V3, and more on HF Hub ๐
> We support Sambanova, TogetherAI, Replicate, and Fal.ai ๐ช
Best of all, we don't charge any markup on top of the provider ๐ซฐ Have you tried it out yet? HF Pro accounts get $2 of free usage for the provider inference.
loubnabnlย
updated
a
collection
2 days ago
Reproducing Deepseek's numbers for MATH-500
#3 opened 3 days ago
by
edbeeching
Recommend a dataset in the scientific domain made by us: EricLu/SCP-116K
2
#2 opened 3 days ago
by
EricLu
LLM Benchmarks and Data Leakage
3
#1 opened 3 days ago
by
dvamvour
eliebakย
updated
a
Space
3 days ago
loubnabnlย
updated
a
Space
3 days ago
loubnabnlย
updated
a
collection
3 days ago
eliebakย
published
a
Space
3 days ago
burtenshawย
posted
an
update
4 days ago
Post
2310
Manic few days in open source AI, with game changing development all over the place. Here's a round up of the resources:
- The science team at @huggingface reproduced and open source the seek r1. https://github.com/huggingface/open-r1
- @qwen released a series of models with 1 million token context! https://qwenlm.github.io/blog/qwen2.5-1m/
- SmolVLM got even smaller with completely new variants at 256m and 500m https://huggingface.co/blog/smolervlm
There's so much you could do with these developments. Especially combining them together into agentic applications or fine-tuning them on your use case.
- The science team at @huggingface reproduced and open source the seek r1. https://github.com/huggingface/open-r1
- @qwen released a series of models with 1 million token context! https://qwenlm.github.io/blog/qwen2.5-1m/
- SmolVLM got even smaller with completely new variants at 256m and 500m https://huggingface.co/blog/smolervlm
There's so much you could do with these developments. Especially combining them together into agentic applications or fine-tuning them on your use case.
- 1 reply
Post
9484
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!
๐งช Step 1: replicate the R1-Distill models by distilling a high-quality reasoning corpus from DeepSeek-R1.
๐ง Step 2: replicate the pure RL pipeline that DeepSeek used to create R1-Zero. This will involve curating new, large-scale datasets for math, reasoning, and code.
๐ฅ Step 3: show we can go from base model -> SFT -> RL via multi-stage training.
Follow along: https://github.com/huggingface/open-r1
๐งช Step 1: replicate the R1-Distill models by distilling a high-quality reasoning corpus from DeepSeek-R1.
๐ง Step 2: replicate the pure RL pipeline that DeepSeek used to create R1-Zero. This will involve curating new, large-scale datasets for math, reasoning, and code.
๐ฅ Step 3: show we can go from base model -> SFT -> RL via multi-stage training.
Follow along: https://github.com/huggingface/open-r1
- 5 replies
burtenshawย
posted
an
update
7 days ago
Post
683
Hey ๐
I'm helping out on some community research to learn about the AI community. If you want to join in the conversation, head over here where I started a community discussion on the most influential model since BERT.
OSAIResearchCommunity/README#2
I'm helping out on some community research to learn about the AI community. If you want to join in the conversation, head over here where I started a community discussion on the most influential model since BERT.
OSAIResearchCommunity/README#2
burtenshawย
posted
an
update
7 days ago
Post
1446
๐ฃ Teachers and Students! Here's a handy quiz app if you're preparing your own study material.
TLDR, It's a quiz that uses a dataset to make questions and save answers
Here's how it works:
- make a dataset of multiple choice questions
- duplicate the space add set the dataset repo
- log in and do the quiz
- submit the questions to create a new dataset
I made this to get ready for the agents course, but I hope it's useful for you projects too!
quiz app burtenshaw/dataset_quiz
dataset with questions burtenshaw/exam_questions
agents course we're working on https://huggingface.co/agents-course
TLDR, It's a quiz that uses a dataset to make questions and save answers
Here's how it works:
- make a dataset of multiple choice questions
- duplicate the space add set the dataset repo
- log in and do the quiz
- submit the questions to create a new dataset
I made this to get ready for the agents course, but I hope it's useful for you projects too!
quiz app burtenshaw/dataset_quiz
dataset with questions burtenshaw/exam_questions
agents course we're working on https://huggingface.co/agents-course
burtenshawย
posted
an
update
7 days ago
Post
2091
AI was built on side projects!
Post
1451
๐๐ป๐๐ฟ๐ผ๐ฑ๐๐ฐ๐ถ๐ป๐ด ๐๐ต๐ฒ ๐๐ผ๐ฟ๐น๐ฑ'๐ ๐๐บ๐ฎ๐น๐น๐ฒ๐๐ ๐๐ถ๐๐ถ๐ผ๐ป ๐น๐ฎ๐ป๐ด๐๐ฎ๐ด๐ฒ ๐บ๐ผ๐ฑ๐ฒ๐น!
Weโre thrilled to share ๐ฆ๐บ๐ผ๐น๐ฉ๐๐ (256M & 500M)โthe smallest Visual Language Models ever built. Think: running on <1GB of GPU memoryโyou can fine-tune it on your laptop and run it on your toaster!
Why Itโs Game-Changing:
- ๐ข๐๐๐ฝ๐ฒ๐ฟ๐ณ๐ผ๐ฟ๐บ๐ ๐๐ฎ๐ฟ๐ด๐ฒ๐ฟ ๐ ๐ผ๐ฑ๐ฒ๐น๐: Even the 256M model surpasses our SOTA 80B-parameter model from just 17 months ago. Over 300x reduction!
๐ ๐ถ๐ด๐ต๐๐ ๐๐ณ๐ณ๐ถ๐ฐ๐ถ๐ฒ๐ป๐ฐ๐: The 256M version delivers 80% of our 2.2B modelโs performance, and the 500M version hits 90%
๐๐ถ๐ด๐ต๐๐ป๐ถ๐ป๐ด-๐๐ฎ๐๐ ๐ฆ๐ฒ๐ฎ๐ฟ๐ฐ๐ต: SmolVLM integrates with ColiPali for state-of-the-art retrieval speedsโon par with models 10x bigger. That means cheaper, faster indexing and real-world impact.
Whatโs New Under the Hood:
- ๐ก๐ฒ๐ ๐ฉ๐ถ๐๐ถ๐ผ๐ป ๐๐ป๐ฐ๐ผ๐ฑ๐ฒ๐ฟ: Smaller overall size (400M -> 93M), but with higher resolution.
- ๐๐ถ๐ด๐ต๐ฒ๐ฟ ๐ฃ๐ถ๐ ๐ฒ๐น๐/๐ง๐ผ๐ธ๐ฒ๐ป: 4096 vs. 1820โmore efficient image processing.
- ๐ฆ๐บ๐ฎ๐ฟ๐ ๐ง๐ผ๐ธ๐ฒ๐ป๐ถ๐๐ฎ๐๐ถ๐ผ๐ป: Faster training and a performance boost.
Check our blog: https://huggingface.co/blog/smolervlm
The models: HuggingFaceTB/smolvlm-256m-and-500m-6791fafc5bb0ab8acc960fb0
The demo: HuggingFaceTB/SmolVLM-256M-Demo
Weโre thrilled to share ๐ฆ๐บ๐ผ๐น๐ฉ๐๐ (256M & 500M)โthe smallest Visual Language Models ever built. Think: running on <1GB of GPU memoryโyou can fine-tune it on your laptop and run it on your toaster!
Why Itโs Game-Changing:
- ๐ข๐๐๐ฝ๐ฒ๐ฟ๐ณ๐ผ๐ฟ๐บ๐ ๐๐ฎ๐ฟ๐ด๐ฒ๐ฟ ๐ ๐ผ๐ฑ๐ฒ๐น๐: Even the 256M model surpasses our SOTA 80B-parameter model from just 17 months ago. Over 300x reduction!
๐ ๐ถ๐ด๐ต๐๐ ๐๐ณ๐ณ๐ถ๐ฐ๐ถ๐ฒ๐ป๐ฐ๐: The 256M version delivers 80% of our 2.2B modelโs performance, and the 500M version hits 90%
๐๐ถ๐ด๐ต๐๐ป๐ถ๐ป๐ด-๐๐ฎ๐๐ ๐ฆ๐ฒ๐ฎ๐ฟ๐ฐ๐ต: SmolVLM integrates with ColiPali for state-of-the-art retrieval speedsโon par with models 10x bigger. That means cheaper, faster indexing and real-world impact.
Whatโs New Under the Hood:
- ๐ก๐ฒ๐ ๐ฉ๐ถ๐๐ถ๐ผ๐ป ๐๐ป๐ฐ๐ผ๐ฑ๐ฒ๐ฟ: Smaller overall size (400M -> 93M), but with higher resolution.
- ๐๐ถ๐ด๐ต๐ฒ๐ฟ ๐ฃ๐ถ๐ ๐ฒ๐น๐/๐ง๐ผ๐ธ๐ฒ๐ป: 4096 vs. 1820โmore efficient image processing.
- ๐ฆ๐บ๐ฎ๐ฟ๐ ๐ง๐ผ๐ธ๐ฒ๐ป๐ถ๐๐ฎ๐๐ถ๐ผ๐ป: Faster training and a performance boost.
Check our blog: https://huggingface.co/blog/smolervlm
The models: HuggingFaceTB/smolvlm-256m-and-500m-6791fafc5bb0ab8acc960fb0
The demo: HuggingFaceTB/SmolVLM-256M-Demo
- 1 reply
burtenshawย
posted
an
update
9 days ago
Post
3488
๐ง Work in Progress! ๐ง
๐ทโโ๏ธ We're working hard on getting the official agents course ready for the 50,000 students that have signed up.
If you want to contribute to the discussion, I started these community posts. Looking forward to hearing from you:
- smolagents unit in the agents course - agents-course/README#7
- LlamaIndex Unit in the agents course - agents-course/README#6
- LangChain and LangGraph unit in the agents course - agents-course/README#5
- Real world use cases in the agents course - agents-course/README#8
๐ทโโ๏ธ We're working hard on getting the official agents course ready for the 50,000 students that have signed up.
If you want to contribute to the discussion, I started these community posts. Looking forward to hearing from you:
- smolagents unit in the agents course - agents-course/README#7
- LlamaIndex Unit in the agents course - agents-course/README#6
- LangChain and LangGraph unit in the agents course - agents-course/README#5
- Real world use cases in the agents course - agents-course/README#8