
La dynamique est folle. Il se passe quelque chose.
Announcing zml/llmd-20261106.0 with support for @RicursiveAI's Ripple and @ReflectionAI_'s Beam.
Lots of QoL bugfixes and performance improvements, async scheduling in beta.
zml.ai/posts/llmd-20261106.0…
Zig is really unstoppable
Lightpanda x @zml_ai llmd: a fully local agent in Zig.
> Lightpanda for the browser
> ZML-llmd for the model server
1.7B model, one MacBook, no cloud.
Find a Pac-Man costume 👻
> Lightpanda: 1:50, 107MB, 3 results
> Chrome: 5:09, 1.8GB, no result
Who wants to frenchmaxx and run Mistral Large 4 ? 👀
Announcing zml/llmd 20261029.0 with Day 0 support for Mistral Large 4, GLM 5.2 / 5.3 and LFM 3.
zml.ai/posts/llmd-20261029.0…
Announcing zml/llmd 20261023.0 with 2 new models:
- Qwen/Qwen3.8-Flash-Next
- XiaomiMiMo/MiMo-V2.6
And faster deepseek-ai/DeepSeek-V4.1-Flash
zml.ai/posts/llmd-20261023.0…
On parle beaucoup des idiots utiles de l'extrême gauche, mais je trouve qu'on parle pas assez des idiots inutiles de la droite 🤔
Announcing ZML/LLMD 20261009.0, with a focus on performance zml.ai/posts/llmd-20261009.0…
Announcing ZML/LLMD 20260929.0, with DeepSeek 4.1 Flash support
zml.ai/posts/llmd-20260929.0…
Damn
That shit so easy lol
We got access to @Qualcomm's AI100 on sunday.
How fast can we make @zml_ai (and zml/llmd) run on them?
The answer is less than 24 hours.
Bringing the number of architectures that run ZML to 12:
- CPU
- NVIDIA
- AMD
- Intel
- Apple Metal
- Vulkan
- Google TPUs
- Tenstorrent
- AWS Trainium
- Moore Threads
- Furiosa NPU
- Qualcomm NPU
And still zero Python.
In close collaboration with @poolsideai, we’re happy to announce the support of Laguna S 2.1, their new open-weight model for agentic coding and long-horizon work.
It’s available today in ZML/LLMD with DFlash support. Most importantly (and as always with us), it’s available on all the supported platforms: NVIDIA, AMD, Intel, Google TPU and Apple Metal.
It's a good model, sir.
zml.ai/posts/laguna-s-2-1/
Today we're releasing Laguna S 2.1, our most capable model to date.
It's a 118B total parameter Mixture-of-Experts model with 8B activated per token, a context window of up to 1M tokens, and thinking and no-thinking modes.
Capable enough to hold its own against models many times its size. Small enough to run on a single @NVIDIAAI DGX Spark.
Laguna S 2.1 is fully open under OpenMDW-1.1, with weights available today on @huggingface
poolside.ai/blog/introducing…
Corendos retweeted
Hot French startup ZML releases free product to speed inference across lots of AI chips techcrunch.com/2026/07/08/ho…
Corendos retweeted
zml-smi running on TPU, Inferentia, NVIDIA and AMD
same binary, because of course.

















