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Hugging Face blog shows learned memory tops the τ²-bench customer service leaderboard without a frontier model
IBM Research's ALTK-Evolve reportedly ranks first on τ²-bench customer service tasks using learned memory rather than a frontier model.
Ornith-1.5-122B, a Qwen-based finetune, released in GGUF and NVFP4 formats
Ornith AI introduces Ornith-1.5, which continuously generates its own training tasks and improves through reinforcement learning, extending Ornith-1.0 built on Qwen3.5 and Gemma4. GGUF and NVFP4 builds are on Hugging Face, with more details in the company blog.
ISTA-DASLab releases a Qwen3.8-27B prefiller model that streams from SSD for low-quant accuracy
The demo recovers accuracy for low-bit quantized Qwen3.8-27B while keeping VRAM usage low and decoding fast. It reportedly needs an Nvidia Blackwell GPU, and the poster has not tested it. For context longer than about 4k tokens, the poster expects no speed penalty.
Hugging Face publishes TorchNeuron guide for running Hugging Face models on AWS Trainium
The post covers running Hugging Face models on AWS Trainium chips through the TorchNeuron PyTorch backend, presented as a simpler path than before.