Unified Multimodal Without a VAE: SenseNova U1, NEO-Unify, and On-Premise Serving
SenseTime has released 日日新 SenseNova U1 under Apache 2.0. Its NEO-Unify architecture drops both the visual encoder and the VAE, handling understanding, gener...
Open Workflow Management
Kimi K3: What It Actually Takes to Serve a 2.8 Trillion Parameter Open Weight Model
Moonshot has released Kimi K3, the largest open weight model in the world to date. What is striking is not just that it beat top closed models on a frontend ...
Qwen3.6-27B at 4-bit: Why NVFP4 Quantization Came Down to Hopper
NVIDIA’s Qwen3.6-27B-NVFP4 compresses a 27B hybrid-attention reasoning model to 4-bit, cutting memory by roughly 2.5x while keeping benchmark gaps within 1 p...
The Complete Gemma 4 Lineup: Five Apache 2.0 Open-Weight Models and an On-Premises Serving Guide
Released by Google DeepMind in April 2026, Gemma 4 is a multimodal open-weight family of five models spanning E2B to 31B. We break down the Apache 2.0 licens...
Running Gemma 4 26B 16x Parallel on a Single DGX Spark: NVFP4 Quantization and an Honest Cost-Efficiency Review
NVIDIA’s Gemma-4-26B-A4B-NVFP4 running 16 parallel streams on a single DGX Spark (128 GB unified memory) delivers roughly 18 tokens/s per stream and about 30...
Kimi K2.6: 1T MoE, 32B Active, 300-Subagent Swarm Architecture Analysis
Moonshot AI’s Kimi K2.6 is a MoE model with 1T total parameters but only 32B active per token, maintaining dense 32B inference costs while supporting 256K co...
GLM-5.2: 753B MoE, 1M Context, MIT License Self-Hosting Guide
Z.ai’s GLM-5.2 handles 1M context with 2.9x FLOPs savings using DSA (Dynamic Sparse Attention). The MIT license removes barriers to on-premises deployment, a...
FastContext-1.0-4B-SFT: A 4B Subagent Model Dedicated to Repository Exploration for Coding Agents
Microsoft released FastContext-1.0-4B-SFT, a fine-tuned Qwen3-4B coding agent subagent model. It explores repositories using only three tools, READ, GLOB, an...
DiffusionGemma 26B-A4B: Google’s Experiment Generating 15-20 Tokens at Once with Discrete Text Diffusion
Google DeepMind released diffusiongemma-26B-A4B-it, a MoE-based VLM that generates text via discrete diffusion rather than autoregressive decoding. 25.2B tot...