DevOps artist formerly known as _refugee_ fiddeling with different kinds of $COMPUTING and his faithful companion
Above all clouds
Joined May 2008
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Christian Stelter retweeted
This.
Christian Stelter retweeted
Kolibri 1 now runs natively in Transformers 5.20!
We are still overwhelmed by all the community feedback.
You can now spin up our Kolibri models in just a few lines of code using 🤗transformers.
Special thanks go to Luca Motz (@lucamotz3141) and Harry Mellor (@hmellor_) for pushing this.
Christian Stelter retweeted
Just watched the @netflix Instadocs about the @OpenAI cyberattack on @huggingface. Super disappointing, as they went for maximum anthropomorphism of the technology and full doomer mode.
I spent more than two hours with them trying to correct all their mistakes and ground this in reality, explaining that agents are technological systems, not aliens. But it looks like the drive to scare people for maximum views was too strong.
Also, they didn’t mention the lack of containment and monitoring of the agents, how closed-model safeguards blocked our defensive work, or how we defended ourselves with AI using an open model. And that we still lack a lot of information and transparency, including full agent traces and that companies need to remain accountable for what their agents do.
It ends up being a fun sci-fi movie though!
Christian Stelter retweeted
It feels pretty fitting for @JensenHuang & @nvidia to end their European tour with Microducks on stage.
Microduck was designed and engineered in Europe (more precisely Bordeaux, France) by the @pollenrobotics and @huggingface teams. With American capital and ambition + Chinese manufacturing genius, it became the most popular robot of 2026 with over 15,000 sold all over the world!
I believe Europe has more opportunity to shine in AI than in any previous tech wave. We intend to prove it with @huggingface @nvidia and the whole open-source AI community in the coming years!
Let's go European AI 🇪🇺🇪🇺🇪🇺
Christian Stelter retweeted
🚀 vLLM v0.32.0 is out! 814 commits · 363 contributors · 121 first-timers
🧭 New /v1/systemone structured-decision endpoint + generic hf tool/reasoning parser
🗜️ Low-precision KV everywhere: NVFP4 on SM8x/90/12x, FP8 KV default for GLM-5.x, 4-bit KV on ROCm
🛠️ Model Runner V2: GPU n-gram speculator, Elastic EP, PP+CP for MLA, now default on ROCm
⚡ Faster startup & serving: precompiled kernel downloads, autotune preload, +43–85% req/s with multi-API workers
🆕 EmbeddingGemma 2, MiniCPM-V 4.7, Nemotron 3.5 ASR
🔒 3 security fixes + CORS hardening
Full notes → github.com/vllm-project/vllm…
Christian Stelter retweeted
We're open sourcing SPACE, the sandbox platform that runs every task in Perplexity Computer.
SPACE gives each agent task its own Firecracker microVM and controls credentials and outbound traffic from outside the VM.
Available now under Apache 2.0: github.com/perplexityai/SPAC…
Christian Stelter retweeted
🚀 DeepSeek-V4.1-Flash-1017 is here!
Stronger benchmark performance, faster task completion, and shorter outputs than the previous version—a Pareto improvement in performance and cost. Now live on our website, app, and API.
🛠️ Optimized for @DeepSeekHarness, Tencent CodeBuddy, WorkBuddy, and more. Upgrade to DeepSeek Harness v0.2.1-rc.1 or later for the best experience with the new model.
1/4
Christian Stelter retweeted
FLUX 3 Image Klein is here.
Open Weights with the quality of a large frontier model. Customizable and fast.
5.6B parameters and runs on a single consumer GPU.
Native 4K, bounding boxes, and pixel-perfect editing.
Christian Stelter retweeted
developer.nvidia.com/blog/nv…
Open source! This is huge news!
Christian Stelter retweeted
Building agents? You need to know what the model can actually do with tools before you trust it in production.
That's why I built tool-eval-bench: 69 real-world tool-calling scenarios (97 with Hard Mode) you can run against any model, local or cloud, across quants and serving engines.
2.8 just shipped, focused on confidence in the results:
- stricter graders catch fabricated success claims
- optional decision-model audits flag disagreements for review
- malformed server responses count as infra failures, not model mistakes
Link below.
Christian Stelter retweeted
Already using it? Rerun your baselines. 2.8 scores aren't comparable to 2.7.
New engines: TabbyAPI, Strata, TensorFold. Thanks @grau_marc for the feedback that shaped the decision-model audits.
uv tool upgrade tool-eval-bench
github.com/SeraphimSerapis/t…
Christian Stelter retweeted
🚀 Meet Qwen-Image-2.1-Turbo — create and edit images in just 8 denoising steps! Open weights now available!
Built on Qwen-Image-2.1, Turbo is an accelerated checkpoint on the same 7B visual generation architecture.
Fewer steps does not mean lower quality: it still generates strong 2K images from text, and supports continued creation through natural-language edits, from adding accessories to changing a scene.
Start directly with Diffusers: load QwenImage21Pipeline and the checkpoint’s recommended 8-step sampling schedule is ready to go.
🌐 Prefer an API? Qwen-Image-2.1 Pro and Turbo APIs are now officially live. Choose a hosted API for your application, or use the Turbo weights in your own workflow.
🤖 ModelScope:
modelscope.cn/models/Qwen/Qw…
🤗 Hugging Face:
huggingface.co/Qwen/Qwen-Ima…
🔗 Pro API:
modelstudio.console.alibabac…
🔗 Turbo API:
modelstudio.console.alibabac…
What will you create with 8 steps? Share your results with us!
Meet Qwen-Image-2.1, the most balanced and cost-effective image generation model in the Qwen-Image series! Now open weights! 🎨
A unified model for both generation and editing, delivering top-tier quality in a lightweight package.
Highlights: 👀
- Compact & exceptionally fast: A lightweight 7B architecture that outperforms most closed-source models, with drastically accelerated inference for multi-image inputs.
- Native transparency: Natively generates and edits RGBA layers, enabling seamless compositing and text editing within transparent images.
- Versatile, high-fidelity editing: Supports up to 10 reference images and precise local control while preserving strict fidelity for portraits and products.
- Broad coverage & stunning aesthetics: Excels at panoramas, infographics, and virtual try-ons, delivering realistic textures and elegant typography.
Start to create your next masterpiece with Qwen-Image-2.1! 🖼️
- Blog: qwen.ai/blog?id=qwen-image-2…
- GitHub: github.com/QwenLM/Qwen-Image…
- Model Scope: modelscope.cn/models/Qwen/Qw…
- Hugging Face: huggingface.co/Qwen/Qwen-Ima…
moeve.bundesdruckerei.de/mod… - Congratz! @Aleph__Alpha Kolibri-1 on rank 3 in the MÖVE ranking for comparing models for their german language performance. @IlhanScheer
Christian Stelter retweeted
Congrats on shipping Kolibri-1 @Aleph__Alpha 🐦
I ran ~29k graded agent episodes in German & English, comparing Kolibri-1 with Gemma 4 and Qwen3.6.
Findings your team may find useful:
quantinine-kolibri-1-as-an-a…
Happy to share more. @IlhanScheer @tfburns @letiepi @alessio__serra @resiliem @tradeqvest
Christian Stelter retweeted
Kolibri, day 4.
#1 trending text generation model on Hugging Face.
30 community builds.
First GGUF went up 11 hours after release.
Runs on Apple Silicon, llama.cpp, Blackwell, a single 4090.
The most downloaded version isn't ours anymore.
Built by @Aleph__Alpha. Now built on by everyone.
That's how open weights should work.
