Local Inference

About

Sun, 09 Aug 2026 00:00:00 +0000

Local Inference covers self-hosting large language models: picking hardware for your VRAM budget, GGUF quantization tradeoffs, backends (llama.cpp, KoboldCpp, Ollama), and frontends, plus what the local-model community actually recommends for different use cases — coding, general chat, and creative/roleplay writing among them.

No hosted-API affiliate kickbacks driving the recommendations here — if a model or tool gets mentioned, it’s because it came up repeatedly in the communities that actually run this stuff (r/LocalLLaMA, r/LocalLLM, SillyTavern’s own community) or was tested directly.

Running Kimi K3 Locally: A 16x GB10 Cluster and the Community's Alternatives

Sun, 09 Aug 2026 00:00:00 +0000

Overview

A recent r/LocalLLaMA post showed the full Kimi K3 model running across a cluster of 16 NVIDIA GB10 nodes, the same Grace Blackwell Superchip found in devices like the DGX Spark. The build runs its monitoring dashboard off a Raspberry Pi, which amused a string of commenters given the price gap between the Pi and the rest of the rig; the joke spun off into a side debate about whether Raspberry Pis are even still worth buying given how well used corporate desktops compare on price and speed.

Self-Hosted LLMs for Fiction and Roleplay Writing: Hardware, Models, and Stack

Sun, 09 Aug 2026 00:00:00 +0000

Hosted chat APIs apply content filters tuned for a general audience, which means anything even adjacent to mature fiction — violence, adult themes, morally gray characters — can get flagged, refused, or silently softened mid-story. That’s the main reason r/LocalLLaMA and r/LocalLLM both have a whole recurring thread genre around “best uncensored model for writing.” Run the model on your own hardware and there’s no third-party filter sitting between your prompt and the output, no chat log leaving the house, and no surprise policy change breaking a story you’re partway through.

What Qwen3.8's MoE Lineup Means for Sizing Your Local Rig

Sun, 09 Aug 2026 00:00:00 +0000

Qwen released 3.8-27B alongside a much larger 3.8-Max, and the r/LocalLLaMA thread reacting to it turned into a decent snapshot of what people are actually planning to run on their own hardware. Buried under the celebration (“still waiting for 3.8 35b a3b, but excited for the 27b version,” one top comment put it) is a pretty clear map of which model shapes this community wants and why.