FineVision: Open Data Is All You Need
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2510.17269
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anditoย
authored
a
paper
27 days ago
Post
1714
Finally, our new paper is out! "๐๐ถ๐ป๐ฒ๐ฉ๐ถ๐๐ถ๐ผ๐ป: ๐ข๐ฝ๐ฒ๐ป ๐๐ฎ๐๐ฎ ๐๐ ๐๐น๐น ๐ฌ๐ผ๐ ๐ก๐ฒ๐ฒ๐ฑ"! ๐ฅณ
FineVision: Open Data Is All You Need (2510.17269)
If you've ever trained a VLM, you know this problem: nobody shares their data mixtures. It's a black box, making replicating SOTA work impossible.
We wanted to change that.
FineVision unifies 200 sources into 24 million samples. With 17.3 million images and 9.5 billion answer tokens, it's the largest open resource of its kind.
In the paper, we share how we built it:
๐ finding and cleaning data at scale
๐งน removing excessive duplicates across sources
๐ค decontaminating against 66 public benchmarks
My favorite part is Figure 6 (in the video!). It's our visual diversity analysis. It shows that FineVision isn't just bigger; it's more balanced and conceptually richer than other open datasets.
NVIDIA's Eagle 2 paper highlighted just how critical this visual diversity is, and our results confirm it: models trained on FineVision consistently outperform those trained on any other open dataset on 11 benchmarks!
๐ To celebrate the paper, Iโm also releasing a concatenated and shuffled version of the full dataset! ๐
Itโs ready to stream, so you can start training your own models right away:
from datasets import load_dataset
d = load_dataset("HuggingFaceM4/FineVision_full_shuffled", split="train", streaming=True)
print(next(iter(d)))
A big shoutout to the first authors: Luis Wiedmann and Orr Zohar. They are rockstars!
FineVision: Open Data Is All You Need (2510.17269)
If you've ever trained a VLM, you know this problem: nobody shares their data mixtures. It's a black box, making replicating SOTA work impossible.
We wanted to change that.
FineVision unifies 200 sources into 24 million samples. With 17.3 million images and 9.5 billion answer tokens, it's the largest open resource of its kind.
In the paper, we share how we built it:
๐ finding and cleaning data at scale
๐งน removing excessive duplicates across sources
๐ค decontaminating against 66 public benchmarks
My favorite part is Figure 6 (in the video!). It's our visual diversity analysis. It shows that FineVision isn't just bigger; it's more balanced and conceptually richer than other open datasets.
NVIDIA's Eagle 2 paper highlighted just how critical this visual diversity is, and our results confirm it: models trained on FineVision consistently outperform those trained on any other open dataset on 11 benchmarks!
๐ To celebrate the paper, Iโm also releasing a concatenated and shuffled version of the full dataset! ๐
HuggingFaceM4/FineVision_full_shuffled Itโs ready to stream, so you can start training your own models right away:
from datasets import load_dataset
d = load_dataset("HuggingFaceM4/FineVision_full_shuffled", split="train", streaming=True)
print(next(iter(d)))
A big shoutout to the first authors: Luis Wiedmann and Orr Zohar. They are rockstars!
Post
5658
deepseek-ai/DeepSeek-OCR is out! ๐ฅ my take โคต๏ธ
> pretty insane it can parse and re-render charts in HTML
> it uses CLIP and SAM features concatenated, so better grounding
> very efficient per vision tokens/performance ratio
> covers 100 languages
> pretty insane it can parse and re-render charts in HTML
> it uses CLIP and SAM features concatenated, so better grounding
> very efficient per vision tokens/performance ratio
> covers 100 languages
- 3 replies
Post
6664
large AI labs open-sourced a ton of models last week ๐ฅ
here's few picks, find even more here merve/sep-16-releases-68d13ea4c547f02f95842f05 ๐ค
> IBM released a new Docling model with 258M params based on Granite (A2.0) ๐ ibm-granite/granite-docling-258M
> Xiaomi released 7B audio LM with base and instruct variants (MIT) XiaomiMiMo/mimo-audio-68cc7202692c27dae881cce0
> DecartAI released Lucy Edit, open Nano Banana ๐ (NC) decart-ai/Lucy-Edit-Dev
> OpenGVLab released a family of agentic computer use models (3B/7B/32B) with the dataset ๐ป OpenGVLab/scalecua-68c912cf56f7ff4c8e034003
> Meituan Longcat released thinking version of LongCat-Flash ๐ญ meituan-longcat/LongCat-Flash-Thinking
here's few picks, find even more here merve/sep-16-releases-68d13ea4c547f02f95842f05 ๐ค
> IBM released a new Docling model with 258M params based on Granite (A2.0) ๐ ibm-granite/granite-docling-258M
> Xiaomi released 7B audio LM with base and instruct variants (MIT) XiaomiMiMo/mimo-audio-68cc7202692c27dae881cce0
> DecartAI released Lucy Edit, open Nano Banana ๐ (NC) decart-ai/Lucy-Edit-Dev
> OpenGVLab released a family of agentic computer use models (3B/7B/32B) with the dataset ๐ป OpenGVLab/scalecua-68c912cf56f7ff4c8e034003
> Meituan Longcat released thinking version of LongCat-Flash ๐ญ meituan-longcat/LongCat-Flash-Thinking
- 2 replies
merveย
updated
a
dataset
about 2 months ago
Post
3303
IBM just released small swiss army knife for the document models: granite-docling-258M on Hugging Face ๐ฅ
> not only a document converter but also can do document question answering, understand multiple languages ๐คฏ
> best part: released with Apache 2.0 license ๐ use it with your commercial projects!
> it supports transformers, vLLM and MLX from the get-go! ๐ค
> built on SigLIP2 & granite-165M
model: ibm-granite/granite-docling-258M
demo: ibm-granite/granite-docling-258m-demo ๐
> not only a document converter but also can do document question answering, understand multiple languages ๐คฏ
> best part: released with Apache 2.0 license ๐ use it with your commercial projects!
> it supports transformers, vLLM and MLX from the get-go! ๐ค
> built on SigLIP2 & granite-165M
model: ibm-granite/granite-docling-258M
demo: ibm-granite/granite-docling-258m-demo ๐
Post
1148
a ton of image/video generation models and LLMs from big labs ๐ฅ
> Meta released facebook/mobilellm-r1-68c4597b104fac45f28f448e, smol LLMs for on-device use ๐ฌ
> Tencent released tencent/SRPO, high res image generation model and tencent/POINTS-Reader, cutting edge OCR ๐
> ByteDance released bytedance-research/HuMo, video generation from any input โฏ๏ธ
find more models, datasets, demos here merve/sep-11-releases-68c7dbfa26bea8cd921fa0ac
> Meta released facebook/mobilellm-r1-68c4597b104fac45f28f448e, smol LLMs for on-device use ๐ฌ
> Tencent released tencent/SRPO, high res image generation model and tencent/POINTS-Reader, cutting edge OCR ๐
> ByteDance released bytedance-research/HuMo, video generation from any input โฏ๏ธ
find more models, datasets, demos here merve/sep-11-releases-68c7dbfa26bea8cd921fa0ac
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#3 opened 2 months ago
by
mervenoyan
Post
961
fan-favorite vision LM Florence-2 is now officially supported in transformers ๐ค
find all the models in
florence-community
org ๐ซก
find all the models in
florence-community
org ๐ซก
Post
1790
past week was great for open LLMs ๐ฅ
merve/sep-1-releases-68bede0e729c12597eefd050
> Google released google/embeddinggemma-300m, new embedding model with 300M params
> new update to Kimi-K2 just landed moonshotai/Kimi-K2-Instruct-0905 ๐
> OpenBMB released a new version to MiniCPM with 8B params openbmb/MiniCPM4.1-8B
also soooo many Qwen-Image & Kontext LoRAs dropped!
> Google released google/embeddinggemma-300m, new embedding model with 300M params
> new update to Kimi-K2 just landed moonshotai/Kimi-K2-Instruct-0905 ๐
> OpenBMB released a new version to MiniCPM with 8B params openbmb/MiniCPM4.1-8B
also soooo many Qwen-Image & Kontext LoRAs dropped!
Post
3676
upgrade your transformers ๐ฅ
it comes with insanely capable models like merve/sam2-66ac9deac6fca3bc5482fe30, microsoft/kosmos-2.5, and more ๐ซก
I built a notebook you can run with free Colab T4 to walk through the API for new models ๐๐ปโโ๏ธ merve/smol-vision
fine-tuning will follow-up soon!
it comes with insanely capable models like merve/sam2-66ac9deac6fca3bc5482fe30, microsoft/kosmos-2.5, and more ๐ซก
I built a notebook you can run with free Colab T4 to walk through the API for new models ๐๐ปโโ๏ธ merve/smol-vision
fine-tuning will follow-up soon!
Post
6267
large AI labs have dropped so many open models last week ๐ฅ don't miss out on them
โ Apple released on-device vision LMs apple/fastvlm-68ac97b9cd5cacefdd04872e & apple/mobileclip2-68ac947dcb035c54bcd20c47
โ OpenGVLab released InternVL3.5, 32 new vision LMs with one based on gpt-oss! (OS) OpenGVLab/internvl35-68ac87bd52ebe953485927fb
โ MSFT released a killer small TTS model (OS) microsoft/VibeVoice-1.5B
find more herehttps://huggingface.co/collections/merve/august-29-releases-68b5a3754cfb8abf59e2b486
โ Apple released on-device vision LMs apple/fastvlm-68ac97b9cd5cacefdd04872e & apple/mobileclip2-68ac947dcb035c54bcd20c47
โ OpenGVLab released InternVL3.5, 32 new vision LMs with one based on gpt-oss! (OS) OpenGVLab/internvl35-68ac87bd52ebe953485927fb
โ MSFT released a killer small TTS model (OS) microsoft/VibeVoice-1.5B
find more herehttps://huggingface.co/collections/merve/august-29-releases-68b5a3754cfb8abf59e2b486
- 1 reply
Post
6050
first vision language model built off
openai/gpt-oss-20b just dropped! ๐ฅ
InternVL3.5 comes with 32 models ๐คฏ pre-trained, fine-tuned, aligned in various sizes OpenGVLab/internvl35-68ac87bd52ebe953485927fb
comes with gpt-oss or Qwen3 for LLM part โคต๏ธ
InternVL3.5 comes with 32 models ๐คฏ pre-trained, fine-tuned, aligned in various sizes OpenGVLab/internvl35-68ac87bd52ebe953485927fb
comes with gpt-oss or Qwen3 for LLM part โคต๏ธ
- 1 reply
Post
3300
GPT-4.1-mini level model right in your iPhone ๐คฏ
openbmb/MiniCPM-V-4 is only 4B while surpassing GPT-4.1-mini in vision benchmarks ๐ฅ
allows commercial use as well!
openbmb/MiniCPM-V-4 is only 4B while surpassing GPT-4.1-mini in vision benchmarks ๐ฅ
allows commercial use as well!
Post
1174
we're all sleeping on this OCR model
rednote-hilab/dots.ocr ๐ฅ
dots.ocr is a new 3B model with sota performance, support for 100 languages & allowing commercial use! ๐คฏ
single e2e model to extract image, convert tables, formula, and more into markdown ๐
try it MohamedRashad/Dots-OCR
dots.ocr is a new 3B model with sota performance, support for 100 languages & allowing commercial use! ๐คฏ
single e2e model to extract image, convert tables, formula, and more into markdown ๐
try it MohamedRashad/Dots-OCR
Post
693
massive releases and tons of Flux 1. Krea LoRas past week!
here's some of the picks, find more models in collection ๐ซก merve/releases-august-2-6890c14248203522b7d0267f
LLMs ๐ฌ
> Tencent dropped tencent/Hunyuan-7B-Instruct
> Qwen released Qwen/Qwen3-Coder-30B-A3B-Instruct, 30B MoE with 3B params for coding (OS)
vision/multimodal
> RedNote released rednote-hilab/dots.ocr - 3B OCR model (OS)
> Cohere released CohereLabs/command-a-vision-07-2025 - 112B (dense!) VLM for 6 languages
> StepFun-AI shipped stepfun-ai/step3 - 321B MoE VLM (OS)
> Skywork shipped Skywork/Skywork-UniPic-1.5B - new any-to-any model (image+text โ image+text) (OS)
here's some of the picks, find more models in collection ๐ซก merve/releases-august-2-6890c14248203522b7d0267f
LLMs ๐ฌ
> Tencent dropped tencent/Hunyuan-7B-Instruct
> Qwen released Qwen/Qwen3-Coder-30B-A3B-Instruct, 30B MoE with 3B params for coding (OS)
vision/multimodal
> RedNote released rednote-hilab/dots.ocr - 3B OCR model (OS)
> Cohere released CohereLabs/command-a-vision-07-2025 - 112B (dense!) VLM for 6 languages
> StepFun-AI shipped stepfun-ai/step3 - 321B MoE VLM (OS)
> Skywork shipped Skywork/Skywork-UniPic-1.5B - new any-to-any model (image+text โ image+text) (OS)
Post
2295
Cohere just dropped
CohereLabs/command-a-vision-07-2025, a 112B (dense!) vision LM
> based on SigLIP2 & Command-A
> built for enterprise use cases ๐ฅ
> use with Inference Providers or transformers ๐ค
read their blog https://huggingface.co/blog/CohereLabs/introducing-command-a-vision-07-2025
> based on SigLIP2 & Command-A
> built for enterprise use cases ๐ฅ
> use with Inference Providers or transformers ๐ค
read their blog https://huggingface.co/blog/CohereLabs/introducing-command-a-vision-07-2025
- 2 replies
Post
3661
past week in open AI was insane ๐ฅ here's some of picks, find more here
merve/releases-july-25-688768ca47fe3693407e02d1
๐ฌ LLMs & VLMs
> Qwen/Qwen3-235B-A22B-Thinking-2507 had a new update (OS)
> Qwen/Qwen3-Coder-480B-A35B-Instruct is out with 480B total 35B active params ๐คฏ (OS)
> AllenAI dropped an update to allenai/olmOCR-7B-0725 ๐
> InternLM released internlm/Intern-S1 - 235B Qwen3 MoE + 6B InternViT encoder (OS)
> OmniSVG/OmniSVG is a new SVG generation VLM (OS)
๐ผ๏ธ image/video/3D generation
> WanAI released Wan2.2 series - both T2V and I2V 14B models for high-quality video generation (OS) multimodalart/wan-22-688767e313337b434ed55112
> Tencent dropped tencent/HunyuanWorld-1 - image-to-3D scene generation model
๐ฌ LLMs & VLMs
> Qwen/Qwen3-235B-A22B-Thinking-2507 had a new update (OS)
> Qwen/Qwen3-Coder-480B-A35B-Instruct is out with 480B total 35B active params ๐คฏ (OS)
> AllenAI dropped an update to allenai/olmOCR-7B-0725 ๐
> InternLM released internlm/Intern-S1 - 235B Qwen3 MoE + 6B InternViT encoder (OS)
> OmniSVG/OmniSVG is a new SVG generation VLM (OS)
๐ผ๏ธ image/video/3D generation
> WanAI released Wan2.2 series - both T2V and I2V 14B models for high-quality video generation (OS) multimodalart/wan-22-688767e313337b434ed55112
> Tencent dropped tencent/HunyuanWorld-1 - image-to-3D scene generation model
-
- 1 reply
Post
4392
๐คฏ 241B VLM with apache-2.0 license
internlm/Intern-S1
internlm released Intern-S1: multimodal reasoning model based on 235B MoE Qwen3 and 6B InternViT ๐
benchmarks look great (๐ best model โ best open model)
internlm released Intern-S1: multimodal reasoning model based on 235B MoE Qwen3 and 6B InternViT ๐
benchmarks look great (๐ best model โ best open model)
Post
3030
Many VLMs claim to process hours of video. But can they follow the story?๐ค
Today, we introduce TimeScope: The benchmark that separates true temporal understanding from marketing hype. Let's see how much VLMs really understand!โณ
We test three skills that matter for real-world use:
๐ Localized Retrieval: Find a specific action.
๐งฉ Information Synthesis: Piece together scattered clues.
๐ Fine-Grained Perception: Analyze detailed motion (e.g., count how many times a person swings an axe).
The results are in, and they're revealing. Only Gemini 2.5 pro handles 1-hour-long videos.
Performance drops sharply with duration, proving that long video understanding is still challenging. We've found the breaking pointsโnow the community can start fixing them.๐
Want to learn more? TimeScope is 100% open-source. Benchmark your model and help us build the next generation of video AI.
๐ Blog:
https://huggingface.co/blog/timescope-video-lmm-benchmark
๐ฉโ๐ป Leaderboard & Demo: Apollo-LMMs/TimeScope
๐ Dataset: Apollo-LMMs/TimeScope
โ๏ธ Eval Code: https://github.com/EvolvingLMMs-Lab/lmms-eval
Today, we introduce TimeScope: The benchmark that separates true temporal understanding from marketing hype. Let's see how much VLMs really understand!โณ
We test three skills that matter for real-world use:
๐ Localized Retrieval: Find a specific action.
๐งฉ Information Synthesis: Piece together scattered clues.
๐ Fine-Grained Perception: Analyze detailed motion (e.g., count how many times a person swings an axe).
The results are in, and they're revealing. Only Gemini 2.5 pro handles 1-hour-long videos.
Performance drops sharply with duration, proving that long video understanding is still challenging. We've found the breaking pointsโnow the community can start fixing them.๐
Want to learn more? TimeScope is 100% open-source. Benchmark your model and help us build the next generation of video AI.
๐ Blog:
https://huggingface.co/blog/timescope-video-lmm-benchmark
๐ฉโ๐ป Leaderboard & Demo: Apollo-LMMs/TimeScope
๐ Dataset: Apollo-LMMs/TimeScope
โ๏ธ Eval Code: https://github.com/EvolvingLMMs-Lab/lmms-eval