https://unitedstatesofamericasuperintelligence.com/hubs/data-and-datasets/ Dated, sourced news items about the organizations and records featured in the USASI Training data and datasets hub. Independent project. Not a United States government website. en-us Fri, 09 Oct 2026 12:00:00 GMT https://unitedstatesofamericasuperintelligence.com/news/trl-1-15-0-released/ https://unitedstatesofamericasuperintelligence.com/news/trl-1-15-0-released/ Fri, 09 Oct 2026 12:00:00 GMT release On October 8, 2026 Hugging Face published version 1.15.0 of TRL on GitHub. The release notes say the SFT, DPO, KTO, GRPO, RLOO and Distillation trainers now score tokens with a fused LM head, a Triton kernel that avoids building the full logits tensor, and that it is on by default; scoring this way needs Triton on a GPU. The notes list breaking changes: a PEFT adapter on `lm_head` now raises an error, and `use_liger_kernel=True` is deprecated in the GRPO, RLOO, DPO and KTO trainers and will be removed in v2.0.0. The release also adds selective activation checkpointing in SFT. USASI has not tested these changes. https://unitedstatesofamericasuperintelligence.com/news/diffusers-0-41-0-released/ https://unitedstatesofamericasuperintelligence.com/news/diffusers-0-41-0-released/ Thu, 08 Oct 2026 12:00:00 GMT release On October 6, 2026 Hugging Face published Diffusers 0.41.0 on GitHub. The release notes say it adds Qwen-Image 2.1, with text-to-image generation, image editing, native transparency, and LoRA training, and introduces tensor-parallel checkpoint loading in which each rank reads its own slice of sharded weights. The notes deprecate ONNX support in favor of Optimum and remove previously deprecated APIs, including the `LuminaText2ImgPipeline` and `Lumina2Text2ImgPipeline` aliases. They also say minor releases will now be coordinated around new model integrations, as in Transformers. Qwen-Image 2.1 is a third-party model and is not a catalog entry; the notes do not state its license. https://unitedstatesofamericasuperintelligence.com/news/transformers-5-19-0-adds-embeddinggemma2/ https://unitedstatesofamericasuperintelligence.com/news/transformers-5-19-0-adds-embeddinggemma2/ Wed, 07 Oct 2026 12:00:00 GMT release On October 6, 2026 Hugging Face published version 5.19.0 of its Transformers library on GitHub. The release notes add support for EmbeddingGemma2, which the notes describe as a multimodal embedding model from Google built on the Gemma 4 architecture that encodes text, images, audio, and video into a shared 768-dimensional vector space and uses Matryoshka Representation Learning so embeddings can be truncated to 512, 256, or 128 dimensions. The notes also list breaking changes: every mixture-of-experts model that computes router logits now returns them when `output_router_logits=True`, the `"paged|"` prefix for SDPA and flash attention implementations is deprecated in favor of continuous batching on the regular functions, and `Owlv2ForObjectDetection.embed_image_query` now selects the query box by objectness score. EmbeddingGemma2 itself is a Google model and is not a separate catalog entry; USASI has not tested these changes. https://unitedstatesofamericasuperintelligence.com/news/llama-cpp-server-adds-decision-model-support/ https://unitedstatesofamericasuperintelligence.com/news/llama-cpp-server-adds-decision-model-support/ Mon, 05 Oct 2026 12:00:00 GMT release On October 2, 2026 the ggml team announced on the Hugging Face blog that the llama.cpp server now supports decision models through a new /v1/systemone endpoint. Decision models score the options a caller supplies instead of generating text. The pull request that adds the endpoint (#29818) was merged into the llama.cpp repository the same day; it describes these models as wrappers around existing embedding-model architectures and adds a decision head and server handling for them. The announcement lists six supported models (Julia-1, Laya, Kev-4B, lev, OpenJev, and Clef), while the pull request itself covers five of them and lists Clef support as a planned follow-up. https://unitedstatesofamericasuperintelligence.com/news/ai2-open-sources-astabrief-8b/ https://unitedstatesofamericasuperintelligence.com/news/ai2-open-sources-astabrief-8b/ Sun, 04 Oct 2026 12:00:00 GMT release On October 2, 2026 Ai2 announced that it is open-sourcing AstaBrief 8B, a model that turns a research question and retrieved literature excerpts into a cited report, along with its training data. Ai2 says the model was built from Qwen3-8B using supervised fine-tuning and direct preference optimization, and that it is available as Fast mode in the "Generate a report" feature of Asta, its platform for scientific work. The Hugging Face model card lists the Apache 2.0 license. Ai2 notes that most of the training and evaluation was completed in 2025 and that it has not rerun the full evaluation against today's frontier models. https://unitedstatesofamericasuperintelligence.com/news/ai2-releases-olmo-core-3/ https://unitedstatesofamericasuperintelligence.com/news/ai2-releases-olmo-core-3/ Thu, 01 Oct 2026 12:00:00 GMT release Ai2 released version 3 of OLMo-core, the PyTorch training library behind its Olmo models, on October 1, 2026. The release redesigns the library's mixture-of-experts training system, adding expert and pipeline parallelism, a distributed optimizer, grouped matrix multiplication for experts, and support for the MXFP8 number format; Ai2 says it is designed to scale mixture-of-experts training into the trillion-parameter range. The code is licensed under Apache 2.0, and the repository includes Ai2's official training scripts for Olmo 3. https://unitedstatesofamericasuperintelligence.com/news/nvidia-agrees-to-acquire-hugging-face/ https://unitedstatesofamericasuperintelligence.com/news/nvidia-agrees-to-acquire-hugging-face/ Tue, 29 Sep 2026 12:00:00 GMT acquisition NVIDIA entered into a definitive agreement to acquire Hugging Face, Inc. on September 2, 2026, and announced it the next day. NVIDIA's Form 8-K says the transaction is expected to close in the first half of 2027, subject to closing conditions including regulatory approvals, so Hugging Face is still listed as a privately held company with no parent organization. NVIDIA says the Hugging Face platform will stay open to models from other developers and will not require NVIDIA hardware.