Xwen 🔥 a series of open models based on Qwen2.5 models, developed by a brilliant research team of PhD students from the Chinese community. shenzhi-wang/xwen-chat-679e30ab1f4b90cfa7dbc49e ✨ 7B/72B ✨ Apache 2.0 ✨ Xwen-72B-Chat outperformed DeepSeek V3 on Arena Hard Auto
From ancient medical ethics to modern AI challenges, the journey of consent represents one of humanity's most fascinating ethical evolutions. In my latest blog post, I explore how we've moved from medical paternalism to a new frontier where AI capabilities force us to rethink consent.
The "consent gap" in AI is real: while we can approve initial data use, AI systems can generate countless unforeseen applications of our personal information. It's like signing a blank check without knowing all possible amounts that could be filled in.
Should we reimagine consent for the AI age? Perhaps we need dynamic consent systems that evolve alongside AI capabilities, similar to how healthcare transformed from physician-centered authority to patient autonomy.
Curious to hear your thoughts: how can we balance technological innovation with meaningful user sovereignty over digital identity?
✨ Launched All-Scenario Reasoning Model (language, visual, and search reasoning capabilities) , with medical expertise as one of its key highlights. https://ying.baichuan-ai.com/chat
✨ Released Baichuan-M1-14B Medical LLM on the hub Available in both Base and Instruct versions, support English & Chinese.
What happened yesterday in the Chinese AI community? 🚀
T2A-01-HD 👉 https://hailuo.ai/audio MiniMax's Text-to-Audio model, now in Hailuo AI, offers 300+ voices in 17+ languages and instant emotional voice cloning.
Tare 👉 https://www.trae.ai/ A new coding tool by Bytedance for professional developers, supporting English & Chinese with free access to Claude 3.5 and GPT-4 for a limited time.
Kimi K 1.5 👉 https://github.com/MoonshotAI/Kimi-k1.5 | https://kimi.ai/ An O1-level multi-modal model by MoonShot AI, utilizing reinforcement learning with long and short-chain-of-thought and supporting up to 128k tokens.
And today…
Hunyuan 3D-2.0 👉 tencent/Hunyuan3D-2 A SoTA 3D synthesis system for high-res textured assets by Tencent Hunyuan , with open weights and code!
✨ MIT License : enabling distillation for custom models ✨ 32B & 70B models match OpenAI o1-mini in multiple capabilities ✨ API live now! Access Chain of Thought reasoning with model='deepseek-reasoner'
InternLM3-8B-instruct🔥 Trained on just 4T tokens, it outperforms Llama3.1-8B and Qwen2.5-7B in reasoning tasks, at 75% lower cost! internlm/internlm3-67875827c377690c01a9131d
✨ MiniMax-text-01: - 456B with 45.9B activated per token - Combines Lightning Attention, Softmax Attention, and MoE for optimal performance - Training context up to 1M tokens, inference handles 4M tokens
✨ MiniMax-VL-01: - ViT-MLP-LLM framework ( non-transformer👀) - Handles image inputs from 336×336 to 2016×2016 - 694M image-caption pairs + 512B tokens processed across 4 stages
MiniCPM-o2.6 🔥 an end-side multimodal LLMs released by OpenBMB from the Chinese community Model: openbmb/MiniCPM-o-2_6 ✨ Real-time English/Chinese conversation, emotion control and ASR/STT ✨ Real-time video/audio understanding ✨ Processes up to 1.8M pixels, leads OCRBench & supports 30+ languages
💫...And we're live!💫 Seasonal newsletter from ethicsy folks at Hugging Face, exploring the ethics of "AI Agents" https://huggingface.co/blog/ethics-soc-7 Our analyses found: - There's a spectrum of "agent"-ness - *Safety* is a key issue, leading to many other value-based concerns Read for details & what to do next! With @evijit , @giadap , and @sasha
Community fine-tuned models are more carbon efficient than the models they are derived from! 🥳🌿
@alozowski@clefourrier@SaylorTwift@albertvillanova evaluated CO₂ emissions associated with model inference for over 3000 models on the Open LLM Leaderboard. Interesting trends and new insights emerged...👀
#001 | A journey into open-source Hugging Face Models on Azure AI
December is the month for New Year resolutions - and this year I am determined to write more on Hugging Face. I kept putting this off thinking I wanted to have time to craft perfect long-form articles, but then I discovered we can do quick posts. So why wait till January?
I am a PhD, a Polyglot, a Parent, a Visual Storyteller, a Community Builder - and an AI Advocate at Microsoft. However, if I look back on my 25+ years in tech, what I love most is to help people learn by making complex concepts feel more accessible and actionable regardless of your background or expertise. And in 2025, I want to use a #NityaLearnsAI tagline as a way to share my learning journey, explore the vast space of AI tools and technologies, amplify our open-source community and put the fun back in fundamentals. I hope you find it useful and will join me!
At the core, this is about my growing interest in **Model Choice** and learning more about not just frontier models but the much larger ecosystem of open-source variants and the community creators who build them. See:
