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clefourrierΒ  authored a paper 4 days ago
Strategic Navigation or Stochastic Search? How Agents and Humans Reason Over Document Collections
mryabΒ  submitted a paper 20 days ago
Untied Ulysses: Memory-Efficient Context Parallelism via Headwise Chunking
ankits0052Β  authored a paper 2 months ago
Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations
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alvarobarttΒ 
posted an update 11 days ago
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3274
Learn how to deploy Microsoft Research VibeVoice ASR on Microsoft Azure Foundry with Hugging Face to generate rich audio transcriptions with Who, When, and What! πŸ’₯

> πŸ•’ 60-minute single-pass processing, no chunking or stitching
> πŸ‘€ Customized hotwords to guide recognition on domain-specific content
> πŸ“ Rich transcription: joint ASR + diarization + timestamping in one pass
> 🌍 50+ languages with automatic detection and code-switching support
> πŸ€— Deployed on Microsoft Foundry via an OpenAI-compatible Chat Completions API

https://huggingface.co/docs/microsoft-azure/foundry/examples/deploy-vibevoice-asr
mryabΒ 
submitted a paper to Daily Papers 20 days ago
alvarobarttΒ 
posted an update about 2 months ago
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3146
πŸ’₯ hf-mem v0.4.1 now also estimates KV cache memory requirements for any context length and batch size with the --experimental flag!

uvx hf-mem --model-id ... --experimental will automatically pull the required information from the Hugging Face Hub to include the KV cache estimation, when applicable.

πŸ’‘ Alternatively, you can also set the --max-model-len, --batch-size and --kv-cache-dtype arguments (Γ  la vLLM) manually if preferred.
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eliebakΒ 
submitted a paper to Daily Papers 3 months ago
merveΒ 
posted an update 5 months ago
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9789
deepseek-ai/DeepSeek-OCR is out! πŸ”₯ my take ‡️
> 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
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maheshp9Β 
authored 3 papers 5 months ago
merveΒ 
posted an update 6 months ago
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6936
large AI labs open-sourced a ton of models last week πŸ”₯
here's few picks, find even more here merve/sep-16-releases-68d13ea4c547f02f95842f05 🀝
> IBM released a new Docling model with 258M params based on Granite (A2.0) πŸ“ 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 🍌 (NC) decart-ai/Lucy-Edit-Dev
> OpenGVLab released a family of agentic computer use models (3B/7B/32B) with the dataset πŸ’» OpenGVLab/scalecua-68c912cf56f7ff4c8e034003
> Meituan Longcat released thinking version of LongCat-Flash πŸ’­ meituan-longcat/LongCat-Flash-Thinking
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merveΒ 
posted an update 6 months ago
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3488
IBM just released small swiss army knife for the document models: granite-docling-258M on Hugging Face πŸ”₯

> not only a document converter but also can do document question answering, understand multiple languages 🀯
> best part: released with Apache 2.0 license πŸ‘ use it with your commercial projects!
> it supports transformers, vLLM and MLX from the get-go! πŸ€—
> built on SigLIP2 & granite-165M

model: ibm-granite/granite-docling-258M
demo: ibm-granite/granite-docling-258m-demo πŸ’—
merveΒ 
posted an update 6 months ago
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1251
a ton of image/video generation models and LLMs from big labs πŸ”₯

> Meta released facebook/mobilellm-r1-68c4597b104fac45f28f448e, smol LLMs for on-device use πŸ’¬
> Tencent released tencent/SRPO, high res image generation model and tencent/POINTS-Reader, cutting edge OCR πŸ“
> ByteDance released bytedance-research/HuMo, video generation from any input ⏯️

find more models, datasets, demos here merve/sep-11-releases-68c7dbfa26bea8cd921fa0ac
merveΒ 
posted an update 6 months ago
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1049
fan-favorite vision LM Florence-2 is now officially supported in transformers πŸ€—

find all the models in
florence-community org 🫑
merveΒ 
posted an update 6 months ago
merveΒ 
posted an update 6 months ago
eliebakΒ 
posted an update 7 months ago
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4203
Super excited to announce that our research team at Hugging Face will be doing an AMA on reddit r/LocalLLaMA.

Come ask any questions to the team behind SmolLM, FineWeb and more! And who knows, maybe there’ll be a shiny new release to talk about?

Thursday 4th September, 8AM-11AM PST πŸ€—

science
merveΒ 
posted an update 7 months ago
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6307
large AI labs have dropped so many open models last week πŸ”₯ 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
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merveΒ 
posted an update 7 months ago
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6093
first vision language model built off openai/gpt-oss-20b just dropped! πŸ”₯

InternVL3.5 comes with 32 models 🀯 pre-trained, fine-tuned, aligned in various sizes OpenGVLab/internvl35-68ac87bd52ebe953485927fb
comes with gpt-oss or Qwen3 for LLM part ‡️
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eliebakΒ 
posted an update 7 months ago
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750
Motif 2.6B tech report is pretty insane, first time i see a model with differential attention and polynorm trained at scale!

> It's trained on 2.5T of token, with a "data mixture schedule" to continuously adjust the mixture over training.
> They use WSD with a "Simple moving average" averaging the last 6 ckpt every 8B token.
> They trained on Finemath, Fineweb2, DCLM, TxT360.
> Lot of details in the finetuning data they used, for instance they used EvolKit and did some "dataset fusion" to have more compressed knowledge into the data.
> They mention they also tried Normalized GPT, QK-Norm and Cross Layer Attention.

Motif-Technologies/Motif-2.6B
merveΒ 
posted an update 7 months ago
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3340
GPT-4.1-mini level model right in your iPhone 🀯

openbmb/MiniCPM-V-4 is only 4B while surpassing GPT-4.1-mini in vision benchmarks πŸ”₯

allows commercial use as well!
merveΒ 
posted an update 7 months ago
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1203
we're all sleeping on this OCR model rednote-hilab/dots.ocr πŸ”₯

dots.ocr is a new 3B model with sota performance, support for 100 languages & allowing commercial use! 🀯

single e2e model to extract image, convert tables, formula, and more into markdown πŸ“
try it MohamedRashad/Dots-OCR