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Public story · 2026-03-10 · source-backed
Snowflake Arctic protocol: SP=4 reduces per-GPU memory 3.3x, enables 12x longer sequences on 4x H100. Now integrated into HF Accelerate, Transformers, and TRL. HuggingFace Blog
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Halo Neuro, building speech restoration for ALS and post-stroke aphasia, open-sourced sopro-v2-turbo: 120M parameters, zero-shot voice cloning from a short reference clip, English, German, French and European Portuguese. On an Apple M3 CPU it reaches 0.24 RTF offline and 0.21...
LFM2.5-DSpark is roughly 296M to 328M parameters, paired with LFM2.5 1.2B, 2.6B and 8B-A1B targets. Reported: up to 3.18x on GPU, 2.87x on-device, the 2.6B hitting 2.67x on an H100 and 2.27x on an M4 Max MacBook. Hugging Face The design combines a DFlash-style parallel backbon...
The new native-speed vLLM backend lets models defined in Transformers run inside vLLM at production throughput with no separate reimplementation. That kills a real friction point: you no longer author a model in flexible Transformers code and then rewrite it for serving. Proto...
The repo config declares GlmMoeDsaForCausalLM, model_type glm_moe_dsa, 8 experts per token, fp8. Z.ai says the model reuses the GLM-5.2 base and gets all its gains from post-training, claiming 28.3 on Terminal-Bench 3.0 (up from 4.6), 88.2 on Terminal-Bench 2.1, and 84.5 on Cy...
You describe a pipeline as a graph of typed nodes and Gradio makes the pipeline itself the interface, supporting sequential chains, parallel fan-out from one input, and mixing Hugging Face Inference Providers, existing Spaces and plain Python functions as nodes (Hugging Face)....
Multiverse Computing released HyperNova 60B on Hugging Face for free — a 50% compressed version of OpenAI's gpt-oss-120B using quantum-inspired CompactifAI compression. Memory drops from 61GB to 32GB (fits single consumer GPU) while showing 5x improvement on Tau2-Bench and 2x...
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