A collection of 13 posts
JetBrains released Mellum2, a 12B Mixture-of-Experts model that activates just 2.5B parameters per token and ships under Apache 2.0. Here's what it is, where it fits in an AI stack, and how to put it to work.
A practical, size-tier-by-tier comparison of Google's Gemma 4 and Alibaba's Qwen 3.5 — benchmarks, coding, reasoning, multilingual, and how to run each locally in 2026.
Qwen 3.7 weights are not on Hugging Face yet (May 20, 2026). Here are the honest ways to use it today, and exactly what to run locally instead.
Qwen 3.6 is shipping with open weights today. Qwen 3.7-Max was announced May 20 with previews live but no weights yet. A grounded side-by-side.
MiniMax M3 is not released as of May 2026. Here's what's actually shipping (M2.7), where the 'M3.0 released' claim came from, and how to verify it.
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.