A collection of 33 posts
Is Qwen 3.7 released? As of May 2026 it isn't — no weights, API, or benchmarks. Here's what's real, what's only rumored, and what to run today.
SubQ claims to be the first fully subquadratic LLM with a 12M-token context window. Here's what's verified, what isn't, and why the architecture matters.
ZAYA1-8B is an Apache-2.0 MoE reasoning model with 760M active params, pretrained 100% on AMD MI300X GPUs with zero NVIDIA in the loop.
Kimi K2.6 vs DeepSeek V4 vs GLM-5.1 for coding in 2026 — sourced benchmarks, real cost-per-task, self-host and license comparison, plus a clear pick-X-if decision block.
A single tiered table for DeepSeek V4 Pro vs Flash VRAM at every quantization (FP8, FP4+FP8, INT4, Q2) — triangulated across official and community sources.
What OmniCoder 9B is, its lineage and license, vendor-reported benchmarks, the full GGUF quant table, and step-by-step Ollama and llama.cpp setup.
Run Qwen 3.6 locally: 27B dense vs 35B-A3B MoE explained, VRAM tables per quant, and copy-paste Ollama, llama.cpp, vLLM, and MLX commands.
Ant Group's inclusionAI shipped Ring-2.6-1T, a trillion-parameter open-weights reasoning MoE. What it is, the vendor benchmarks, how it stacks up against Kimi K2.6 and DeepSeek V4, and whether you can run it.