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Qwen3.6-35B-A3B

3 articles · Page 1 of 1
Xiaohongshu Tech REDtech
Xiaohongshu Tech REDtech
Oct 15, 2026 · Artificial Intelligence

CompoWorld: Compositional Environment Scaling Boosts Agent Performance by 9.17 Points

Xiaohongshu's AllSpark team introduces CompoWorld, a compositional environment scaling framework that combines 448 reusable services with 10,130 tools to train agents on cross-application workflows, achieving a 9.17-point average improvement across eight benchmarks and tripling success rates on AutomationBench.

Agent TrainingAllSparkAutomationBench
0 likes · 12 min read
CompoWorld: Compositional Environment Scaling Boosts Agent Performance by 9.17 Points
Old Zhang's AI Learning
Old Zhang's AI Learning
May 31, 2026 · Artificial Intelligence

Qwen3.6-35B-A3B NVFP4: A Stable, Highly Compressed Quantized Model

NVIDIA's NVFP4 quantization reduces Qwen3.6-35B-A3B's memory footprint by threefold with almost no accuracy loss, offers plug‑and‑play deployment via vLLM, and outperforms other 4‑bit formats on Hopper/Blackwell GPUs, making it a practical choice for production AI workloads.

MoENVFP4Qwen3.6-35B-A3B
0 likes · 13 min read
Qwen3.6-35B-A3B NVFP4: A Stable, Highly Compressed Quantized Model
Old Zhang's AI Learning
Old Zhang's AI Learning
May 11, 2026 · Artificial Intelligence

Open‑Source Qwen3.6‑35B‑A3B Runs at 162 tok/s on a Single RTX 5090

The article introduces the open‑source Qwen3.6‑35B‑A3B model, explains its MoE architecture, three‑stage LoRA fine‑tuning, shows benchmark results where it achieves 161.9 tok/s on an RTX 5090—2.6× faster than a dense 27B counterpart—and discusses deployment tips, quantized GGUF release, and known compatibility pitfalls.

GGUF quantizationLoRA fine-tuningMixture of Experts
0 likes · 7 min read
Open‑Source Qwen3.6‑35B‑A3B Runs at 162 tok/s on a Single RTX 5090