CoworkOS harness scales agent coworkers for real-world automation
CoworkOS uses GLM-5.3 backbone to post-train Qwen3.6-35B-A3B, raising average benchmark scores by 9.76 points.
CoworkOS uses GLM-5.3 backbone to post-train Qwen3.6-35B-A3B, raising average benchmark scores by 9.76 points.
Pruning raises Qwen3.5-4B from 57.7% to 70.5% on HMMT 2025 and from 39.1% to 56.7% on LiveCodeBench v6.
The text-only model uses about 3B active parameters per token and a 128K context window.
Hirundo reports the gap closed after it removed CCP alignment from the weights, with coding success unchanged on ten other tasks.
The BF16 checkpoint uses a 256K context, OpenMDW-1.1, and variable loop counts without retraining.
Tencent released Hy-Memory-30B-A3B, a 3B-active memory writer that leads Mem0, MemOS, and Hy-Memory scores.
Liquid AI released open-weight LFM2.5-24B-A2B, a 24B MoE with 2B active parameters for on-device agents.
Data World synthesizes data-agent tasks and trains DataWorld-35B-A3B, which beats its Qwen3.6 base on several benchmarks.
Liquid AI released LFM2.5-24B-A2B, an open 24B MoE with 2.45B active parameters for local agents.
Liquid AI releases LFM2.5-24B-A2B, a 24B MoE with 2.45B active parameters for on-device agents.
OpenBMB released MiniCPM-V 4.7 35B-A3B, its first on-device mixture-of-experts vision-language model.
OpenBMB released GGUF weights for MiniCPM-V 4.7 35B-A3B, an on-device multimodal MoE model.
T-Search, fine-tuned from Qwen3.6-35B-A3B, reaches 56.0 Recall@10, 14.4 points above its base.
Aleph Alpha released Kolibri, an Apache 2.0 English-German MoE with 78B total and 3B active parameters.
Continued pretraining and SFT specialize Qwen models for executable Backtrader trading code, raising Judge Pass to 58.2%.
H Company releases Holo4 open-weight computer-use models (27B dense, 35B-A3B MoE) that operate GUIs, code and tool calls across desktop, web, Android and APIs.
ROSS reuses historical self-generated rollouts with selective supervision, lifting Qwen3.6 SWE-bench Verified from 64.2% to 68.4%.
SlimWise prunes MoE experts only at decode, lifting Qwen3.6 throughput up to 1.81x in vLLM.
CompoWorld composes 448 services to train Qwen3.6-35B-A3B, beating Claude Opus 4.6 on AutomationBench.
Synthetic document perturbations train LLMs to reason from context, lifting Qwen3.6-35B-A3B to 24.6% on CL-bench.
VHD-Play builds 3,300 agentic RL environments and lifts Qwen3.6-35B-A3B's mean score from 0.204 to 0.815.
A 2026 guide ranks 11 open-source agent harnesses, including OpenCode, Goose, Cline, and OpenHands, by local-LLM support, licensing, and safety controls.
Latent Space AI news digest covers Anthropic's Claude Code Projects, Google's managed agent APIs, TypeSafe's Jev classifier, and OpenAI's Astra for Law launch.
DavidAU releases Qwen3.8-27B-TWIN-TURBO, an uncensored GGUF fine-tune claiming sharply reduced thinking tokens and self-reported benchmark gains.
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