Qwen3.6-35B-A3B news
The latest Qwen3.6-35B-A3B news, : Zyphra releases ZHA, a sparse attention method for frozen models.
12 stories mentioning Qwen3.6-35B-A3B since 17 September 2026, newest first, each with its sources and discussion. Follow to see new ones on your front page.
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Zyphra releases ZHA, a sparse attention method for frozen models
Zyphra has released Zyphra Hierarchical Attention (ZHA), a sparse attention method designed to reduce the computational cost of long-context processing. Unlike existing sparse methods that still scan the entire context…
1 sourceMarkTechPost -
Diffuspace/Clover-35B-A3B-Preview released
DiffuSpace has released its first model, Clover-35B-A3B-Preview, which combines a 35B-parameter mixture-of-experts backbone with approximately 3B active parameters per token. It features block diffusion generation and…
1 source primary sourcehuggingface.co -
InternScience releases Sage-A1.5 35B agentic model for scientific tasks
InternScience has published Sage-A1.5, a 35 billion‑parameter Mixture‑of‑Experts model built on Shanghai AI Laboratory’s Qwen3.6‑35B‑A3B. The model is packaged for Hugging Face Transformers and can be served with vLLM…
1 source primary sourcehuggingface.co -
Navalia improves cowork agent performance over Qwen3.6-35B-A3B on finance benchmarks
Researchers present Navalia, a framework that equips cowork agents with verifiable task synthesis and long‑horizon post‑training. The system draws on corporate financial reports, selects supporting evidence, and builds…
1 source primary sourcearXiv cs.AI -
PyTorch 2.15 adds FP8 support and speeds up LLM decoding on Mac MPS
The PyTorch team at Hugging Face announced PyTorch 2.15, focusing on the MPS backend for Apple silicon. FP8 tensors (float8e4m3fn) are now supported on MPS, using half the memory of BF16 and enabling scaled matrix…
1 source primary sourceHugging Face -
Intel releases LLM-Scaler-vLLM PV 1.5
Intel software engineers released LLM-Scaler-vLLM PV 1.5, a Docker stack that runs large‑language models on Intel Arc Graphics. It also adds support for several Qwen and Gemma models, including Qwen3.6‑27B,…
1 sourcephoronix.com -
LFM2.5-24B-A2B: Built for fast on-device agents
It is designed for fast, private agents that run entirely on device, with a reasoning‑only architecture that outputs a chain of thought before the final answer. It scored 48.09 on LiveClaw versus 38.19 for the…
1 source HN 49liquid.ai -
Liquid AI Releases Open-Weight LFM2.5-24B-A2B for On-Device Agents
The model is designed for on-device agents and marks the largest release in Liquid AI’s LFM2.5 series, spanning from LFM2.5-230M to this new version. It features a 131,072-token context window, support for 16…
1 sourceUnite.AI -
Artificial Analysis releases open-source tool to benchmark local AI agents on laptops and workstations
Artificial Analysis has launched AA-AgentPerf-Local, an open-source benchmarking tool designed to measure how fast AI agents perform on laptops and workstations. The tool replays real agent trajectories—eight recorded…
1 sourceartificialanalysis.ai -
Simon Willison reviews 2026 LLM trends including Claude Opus 4.5, GPT-5.1, and coding agents
Simon Willison gave a keynote at the WeAreDevelopers World Congress North America in San Jose on Friday, reviewing key AI trends from 2026. He noted that November saw the release of Claude Opus 4.5 and GPT-5.1, which…
1 source HN 5Simon Willison -
GitHub - giveen/ninfer-ext: ninfer-ext — He built the product, we are building the weapon.
Developer giveen released ninfer-ext, an open-source C++23 and CUDA inference fork based on Neroued's ninfer engine. The project fits the large model into consumer hardware by keeping routed experts in pinned host…
1 source primary sourcegithub.com -
Inco AI releases Splash, an open‑source inference engine for Apple silicon
Inco AI announced Splash, a local inference engine built around a specific model and released as open‑source under Apache‑2.0. It runs on Apple silicon Macs with an M3 or newer processor, macOS 26.4 or later, at least…
1 sourceinco.ai
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What is the latest Qwen3.6-35B-A3B news?
As of 3 November 2026: Zyphra releases ZHA, a sparse attention method for frozen models. Zyphra has released Zyphra Hierarchical Attention (ZHA), a sparse attention method designed to reduce the computational cost of long-context processing.