Single-minus gluon tree amplitudes are nonzero
Paper β’ 2602.12176 β’ Published β’ 8
AI & ML interests
Exploring foundation models for DNA and beyond π§¬
lewtunΒ
submitted 2
papers to Daily Papers 3 months ago
Post
2017
πππHuge biotech data drop todayπππ
The largest drug-target dataset ever created was just released on Hugging Faceβand it's still growing...
EvE Bio is further updating the dataset every 8 weeks. Drug development dream.
Read the blog: https://huggingface.co/blog/hugging-science/eve-bio-mapping-the-pharmone-drug-interaction
Play with the data: eve-bio/drug-target-activity
The largest drug-target dataset ever created was just released on Hugging Faceβand it's still growing...
EvE Bio is further updating the dataset every 8 weeks. Drug development dream.
Read the blog: https://huggingface.co/blog/hugging-science/eve-bio-mapping-the-pharmone-drug-interaction
Play with the data: eve-bio/drug-target-activity
abidlabsΒ
authored 3
papers 6 months ago
Persistent Anti-Muslim Bias in Large Language Models
Paper β’ 2101.05783 β’ Published β’ 4
STG-MTL: Scalable Task Grouping for Multi-Task Learning Using Data Map
Paper β’ 2307.03374 β’ Published β’ 2
Gradio: Hassle-Free Sharing and Testing of ML Models in the Wild
Paper β’ 1906.02569 β’ Published β’ 2
Post
11085
Why I think local, open-source models will eventually win.
The most useful AI applications are moving toward multi-turn agentic behavior: systems that take hundreds or even thousands of iterative steps to complete a task, e.g. Claude Code, computer-control agents that click, type, and test repeatedly.
In these cases, the power of the model is not how smart it is per token, but in how quickly it can interact with its environment and tools across many steps. In that regime, model quality becomes secondary to latency.
An open-source model that can call tools quickly, check that the right thing was clicked, or verify that a code change actually passes tests can easily outperform a slightly βsmarterβ closed model that has to make remote API calls for every move.
Eventually, the balance tips: it becomes impractical for an agent to rely on remote inference for every micro-action. Just as no one would tolerate a keyboard that required a network request per keystroke, users wonβt accept agent workflows bottlenecked by latency. All devices will ship with local, open-source models that are βgood enoughβ and the expectation will shift toward everything running locally. Itβll happen sooner than most people think.
The most useful AI applications are moving toward multi-turn agentic behavior: systems that take hundreds or even thousands of iterative steps to complete a task, e.g. Claude Code, computer-control agents that click, type, and test repeatedly.
In these cases, the power of the model is not how smart it is per token, but in how quickly it can interact with its environment and tools across many steps. In that regime, model quality becomes secondary to latency.
An open-source model that can call tools quickly, check that the right thing was clicked, or verify that a code change actually passes tests can easily outperform a slightly βsmarterβ closed model that has to make remote API calls for every move.
Eventually, the balance tips: it becomes impractical for an agent to rely on remote inference for every micro-action. Just as no one would tolerate a keyboard that required a network request per keystroke, users wonβt accept agent workflows bottlenecked by latency. All devices will ship with local, open-source models that are βgood enoughβ and the expectation will shift toward everything running locally. Itβll happen sooner than most people think.
- 8 replies
Post
12280
deepseek-ai/DeepSeek-OCR is out! π₯ my take ‡οΈ
> 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
- 4 replies
thomwolfΒ
authored a
paper 7 months ago
lvwerraΒ
authored a
paper 7 months ago
Post
1602
What other features would you like to see on the Trackio Dashboard? ( gradio-templates/trackio-dashboard)
Post
7014
large AI labs open-sourced a ton of models last week π₯
here's few picks, find even more here merve/sep-16-releases-68d13ea4c547f02f95842f05 π€
> IBM released a new Docling model with 258M params based on Granite (A2.0) π 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 π (NC) decart-ai/Lucy-Edit-Dev
> OpenGVLab released a family of agentic computer use models (3B/7B/32B) with the dataset π» OpenGVLab/scalecua-68c912cf56f7ff4c8e034003
> Meituan Longcat released thinking version of LongCat-Flash π meituan-longcat/LongCat-Flash-Thinking
here's few picks, find even more here merve/sep-16-releases-68d13ea4c547f02f95842f05 π€
> IBM released a new Docling model with 258M params based on Granite (A2.0) π 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 π (NC) decart-ai/Lucy-Edit-Dev
> OpenGVLab released a family of agentic computer use models (3B/7B/32B) with the dataset π» OpenGVLab/scalecua-68c912cf56f7ff4c8e034003
> Meituan Longcat released thinking version of LongCat-Flash π meituan-longcat/LongCat-Flash-Thinking
- 2 replies
Post
3539
IBM just released small swiss army knife for the document models: granite-docling-258M on Hugging Face π₯
> not only a document converter but also can do document question answering, understand multiple languages π€―
> best part: released with Apache 2.0 license π use it with your commercial projects!
> it supports transformers, vLLM and MLX from the get-go! π€
> built on SigLIP2 & granite-165M
model: ibm-granite/granite-docling-258M
demo: ibm-granite/granite-docling-258m-demo π
> not only a document converter but also can do document question answering, understand multiple languages π€―
> best part: released with Apache 2.0 license π use it with your commercial projects!
> it supports transformers, vLLM and MLX from the get-go! π€
> built on SigLIP2 & granite-165M
model: ibm-granite/granite-docling-258M
demo: ibm-granite/granite-docling-258m-demo π
Post
1290
a ton of image/video generation models and LLMs from big labs π₯
> Meta released facebook/mobilellm-r1-68c4597b104fac45f28f448e, smol LLMs for on-device use π¬
> Tencent released tencent/SRPO, high res image generation model and tencent/POINTS-Reader, cutting edge OCR π
> ByteDance released bytedance-research/HuMo, video generation from any input β―οΈ
find more models, datasets, demos here merve/sep-11-releases-68c7dbfa26bea8cd921fa0ac
> Meta released facebook/mobilellm-r1-68c4597b104fac45f28f448e, smol LLMs for on-device use π¬
> Tencent released tencent/SRPO, high res image generation model and tencent/POINTS-Reader, cutting edge OCR π
> ByteDance released bytedance-research/HuMo, video generation from any input β―οΈ
find more models, datasets, demos here merve/sep-11-releases-68c7dbfa26bea8cd921fa0ac
Post
1080
fan-favorite vision LM Florence-2 is now officially supported in transformers π€
find all the models in
florence-community org π«‘
find all the models in
Post
1878
past week was great for open LLMs π₯ 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 π
> 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 π
> OpenBMB released a new version to MiniCPM with 8B params openbmb/MiniCPM4.1-8B
also soooo many Qwen-Image & Kontext LoRAs dropped!
Post
3770
upgrade your transformers π₯
it comes with insanely capable models like merve/sam2-66ac9deac6fca3bc5482fe30, microsoft/kosmos-2.5, and more π«‘
I built a notebook you can run with free Colab T4 to walk through the API for new models ππ»ββοΈ 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 π«‘
I built a notebook you can run with free Colab T4 to walk through the API for new models ππ»ββοΈ merve/smol-vision
fine-tuning will follow-up soon!
Post
6130
πππ The largest ever dataset of co-folded 3D protein-ligand structures just dropped on HF!!
Meet SAIR (Structurally Augmented ICβ β Repository): 5M+ AI-generated complexes with experimentally measured drug potency data from SandboxAQ. πππ
Check it out and explore here: SandboxAQ/SAIR
Meet SAIR (Structurally Augmented ICβ β Repository): 5M+ AI-generated complexes with experimentally measured drug potency data from SandboxAQ. πππ
Check it out and explore here: SandboxAQ/SAIR
- 3 replies
Post
6328
large AI labs have dropped so many open models last week π₯ don't miss out on them
β Apple released on-device vision LMs apple/fastvlm-68ac97b9cd5cacefdd04872e & apple/mobileclip2-68ac947dcb035c54bcd20c47
β OpenGVLab released InternVL3.5, 32 new vision LMs with one based on gpt-oss! (OS) OpenGVLab/internvl35-68ac87bd52ebe953485927fb
β MSFT released a killer small TTS model (OS) microsoft/VibeVoice-1.5B
find more herehttps://huggingface.co/collections/merve/august-29-releases-68b5a3754cfb8abf59e2b486
β Apple released on-device vision LMs apple/fastvlm-68ac97b9cd5cacefdd04872e & apple/mobileclip2-68ac947dcb035c54bcd20c47
β OpenGVLab released InternVL3.5, 32 new vision LMs with one based on gpt-oss! (OS) OpenGVLab/internvl35-68ac87bd52ebe953485927fb
β 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
6116
first vision language model built off openai/gpt-oss-20b just dropped! π₯
InternVL3.5 comes with 32 models π€― pre-trained, fine-tuned, aligned in various sizes OpenGVLab/internvl35-68ac87bd52ebe953485927fb
comes with gpt-oss or Qwen3 for LLM part ‡οΈ
InternVL3.5 comes with 32 models π€― pre-trained, fine-tuned, aligned in various sizes OpenGVLab/internvl35-68ac87bd52ebe953485927fb
comes with gpt-oss or Qwen3 for LLM part ‡οΈ
- 1 reply