Mistral Large 4: What It Is and Who Should Use It
Mistral Large 4 is a 1 trillion parameter open-weight model with real strength in security work. Specs, benchmarks, price, and who should try it now.
Magai Blog16 min read
open weight models
14 stories
Cloudflare tries to outplay Jev with open-weight Clef models
Sure, it costs more, but it can handle images and video and it's available on Hugging Face if you have the hardware horsepower to run it locally
The Register6 min readFocusing on Post-Training
Why I'd invest in post-training existing open-weight LLMs, with Fireworks' Ember-1 as an example of more token-efficient reasoning.
Sebastian Raschka2 min readRunInfra is now inference for agents
RunInfra now focuses on hosted inference for agents, with pay-as-you-go Model APIs and setup guides for Claude Code, Codex and other coding agents.
RunInfra Blog1 min readMiMo-V2.6 Pro Architecture and Training Notes
Notes on MiMo-V2.6 Pro's GQA and sliding-window attention, agent training tasks, reward signals, and large RL batches.
Sebastian Raschka1 min readGLM-5.3-Flash Architecture Notes
Architecture note on GLM-5.3-Flash, formerly Ox Alpha, covering its KDA and MLA/DSA hybrid attention, sparse MoE backbone, and four-stream mHC residual path.
Sebastian Raschka1 min readThe War Between Open Source, Open Weight, And Closed AI Models
Ask yourself these questions, assuming you have a serious medical condition and your doctors are goi ...
Next Platform8 min readMuse Glimmer 30B Architecture Notes
Short architecture note on Meta Muse Glimmer 30B, including gated local and global GQA, KV-cache efficiency, and release-time benchmark comparisons.
Sebastian Raschka2 min readKimi K3 Architecture Notes
Short architecture note on Kimi K3, including LatentMoE, Kimi Delta Attention, Attention Residuals, NoPE, multimodality, and inference-efficiency choices.
Sebastian Raschka2 min readA Few Notable Open-Weight Models This Week
Short note on the architectures of six new open-weight models, including Nanbeige 4.2, Laguna S 2.1, Motif-3-Beta, Solar Open 2, Antares 1B, and BTL-3.
Sebastian Raschka3 min readInkling: A New Open-Weight 975B MoE with a Few Surprises
Architecture and benchmark notes on Thinking Machines Lab's 975B Inkling MoE, including short convolutions, relative-position bias, training, and effort control.
Sebastian Raschka4 min readUsing Local Coding Agents
Short note linking a new article on setting up local coding agents with open-weight models.
Sebastian Raschka2 min readLocal Open-Weight LLMs in Coding Harnesses
Short note on trying local open-weight LLMs across Qwen-Code, Codex, and Claude Code harnesses.
Sebastian Raschka1 min readGLM-5.2 and IndexShare for Long-Context Sparse Attention
How GLM-5.2 uses IndexShare to reuse sparse-attention token selections across layers and reduce long-context indexer computation.
Sebastian Raschka4 min read
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