Huggingface is a platform for hosting and sharing machine learning models and datasets. Recent coverage has focused on the platform beginning to censor certain models (example: audnai/penclaw-GLM-5.3-abliterated-for-offensive-cy), the release of Aurora1.0-150M (trained on 7B tokens using an RTX Pro 6000; PIQA 62.24%, Hellaswag 32.20%), and parameter disclosures for Deepseek V4.1 Flash (main model ~551.566B, total ~748B).
NVIDIA advances native GPU programming in RustNVIDIA is advancing native GPU programming in Rust with two tracks: cuda-oxide for SIMT-style kernels (requires nightly toolchain and custom LLVM) and cutile-rs for Tile-based programming (runs on stable Rust 1.89+ with CUDA 13.3). Both enforce compile-time memory safety; cutile-rs is already used in HuggingFace’s Grout and mistral.rs. NVIDIA plans interoperability with CUDA C++ and Python.
Censorship Begins on HuggingFaceA LocalLLaMA Reddit post reports that HuggingFace has begun censoring certain models, citing audnai/penclaw-GLM-5.3-abliterated-for-offensive-cy as an example. The community says disabled messages should be more specific.
Aurora1.0-150M ReleasedAurora1.0-150M's first-generation model was released on Huggingface; it was trained on 7B tokens using an RTX Pro 6000 and reports performance similar to GPT2‑Small with benchmarks like PIQA 62.24% and Hellaswag 32.20%. An example inference script is provided in the repo.
Deepseek V4.1 Flash is 748B total/552B baseInspection of the safetensors shows Deepseek V4.1 Flash’s main model is about 551.566B parameters (40 layers), with FFN experts totaling 543.582B and other parts 7.984B; additionally an engram of ~196.929B, DSpark/MTP ~14.225B and a vision encoder ~0.485B, summing to roughly 748B. Other reported sizes (e.g., 485B, 522B) stem from differing counting methods or misreads.
The A.I. Daily