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AdinaY  submitted a paper 6 days ago
Realtime-Venus: A full-duplex interaction system with asynchronous delegation
AdinaY  submitted a paper 3 months ago
MOPD: Multi-Teacher On-Policy Distillation for Capability Integration in LLM Post-Training
AdinaY  submitted a paper 3 months ago
Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale
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AdinaY 
submitted a paper to Daily Papers 6 days ago
AdinaY 
submitted 3 papers to Daily Papers 3 months ago
alvarobartt 
posted an update 4 months ago
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1426
Open agents on AWS SageMaker AI with open models from the Hugging Face Hub!

> Deploy an open model from the Hugging Face Hub on SageMaker AI
> Connect the deployed model to Strands Agents
> Add built-in and custom tools for tool calling
> Expose external capabilities through MCP integration
> Bonus: talk to your agent and visualize traces with Gradio

https://alvarobartt.com/agents-on-aws-sagemaker
alvarobartt 
posted an update 4 months ago
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4087
Latest hf-mem release added a breakdown of Mixture-of-Experts (MoE) memory usage!

TL; DR MoEs can be misleading to reason about from active parameters alone, since each token only activates a subset of experts, while the serving setup still needs to account for the full resident memory footprint.

🧠 hf-mem now splits MoE memory into base model weights, routed experts, and KV cache
🏗️ Dense models usually load and use most weights every forward pass, while MoEs load many experts but only route each token to a few of them
⚡ Active params isn't the same as memory footprint, especially for sparse architectures
📦 Runtime memory is about what is used per request/token, while loading memory also includes the expert weights that need to be resident
📚 KV cache can still dominate depending on context length, batch size, and concurrency
🔀 Expert Parallelism (EP) helps shard experts across accelerators when expert weights dominate
🚀 Data Parallelism (DP) + EP is often a good fit for throughput-oriented MoE serving

Check the repository at https://github.com/alvarobartt/hf-mem
AdinaY 
submitted a paper to Daily Papers 5 months ago
AdinaY 
submitted a paper to Daily Papers 6 months ago
AdinaY 
submitted 2 papers to Daily Papers 7 months ago
alvarobartt 
posted an update 7 months ago
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4217
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! 💥

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

https://huggingface.co/docs/microsoft-azure/foundry/examples/deploy-vibevoice-asr
AdinaY 
posted an update 8 months ago
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4639
MiniMax M2.5 is now available on the hub 🚀

MiniMaxAI/MiniMax-M2.5

✨ 229B - Modified MIT license
✨37% faster than M2.1
✨ ~$1/hour at 100 TPS
  • 2 replies
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AdinaY 
posted an update 8 months ago
AdinaY 
posted an update 8 months ago
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4339
Game on 🎮🚀

While Seedance 2.0’s videos are all over the timeline, DeepSeek quietly pushed a new model update in its app.

GLM-5 from Z.ai adds more momentum.

Ming-flash-omni from Ant Group , MiniCPM-SALA from OpenBMB
, and the upcoming MiniMax M2.5 keep the heat on 🔥

Spring Festival is around the corner,
no one’s sleeping!

✨ More releases coming, stay tuned
https://huggingface.co/collections/zh-ai-community/2026-february-china-open-source-highlights
AdinaY 
posted an update 8 months ago
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4021
Ming-flash-omni 2.0 🚀 New open omni-MLLM released by Ant Group

inclusionAI/Ming-flash-omni-2.0

✨ MIT license
✨ MoE - 100B/6B active
✨ Zero-shot voice cloning + controllable audio
✨ Fine-grained visual knowledge grounding
  • 2 replies
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AdinaY 
posted an update 8 months ago
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868
LLaDA 2.1 is out 🔥 A new series of MoE diffusion language model released by AntGroup

inclusionAI/LLaDA2.1-mini
inclusionAI/LLaDA2.1-flash

✨LLaDA2.1-mini: 16B - Apache2.0
✨LLaDA2.1-flash: 100B - Apache2.0
✨Both delivers editable generation, RL-trained diffusion reasoning and fast inference
  • 2 replies
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AdinaY 
posted an update 8 months ago
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2678
AI for science is moving fast🚀

Intern-S1-Pro 🔬 a MoE multimodal scientific reasoning model from Shanghai AI Lab

internlm/Intern-S1-Pro

✨ 1T total / 22B active
✨ Apache 2.0
✨ SoTA scientific reasoning performance
✨ FoPE enables scalable modeling of long physical time series (10⁰–10⁶)
  • 2 replies
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AdinaY 
posted an update 8 months ago
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1470
✨ China’s open source AI ecosystem has entered a new phase

https://huggingface.co/blog/huggingface/one-year-since-the-deepseek-moment-blog-3

One year after the “DeepSeek Moment,” open source has become the default. Models, research, infrastructure, and deployment are increasingly shared to support large-scale, system-level integration.

This final blog examines how leading Chinese AI organizations are evolving ,and what this implies for the future of open source.
AdinaY 
posted an update 8 months ago
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442
GLM just entered the OCR field🔥

zai-org/GLM-OCR

✨ 0.9B
✨ MIT licensed
✨ Multimodal GLM-V architecture
✨ #1 on OmniDocBench v1.5 (94.62)
AdinaY 
posted an update 8 months ago