4B model, 6 GB laptop GPU, 32M tokens of context. Fully local.
We built VLS, a local LLM app: any GGUF model, OpenAI API + MCP, Windows and Linux. 8K window, no vector DB, no embeddings. Median answer at 32M tokens: 653 ms. RULER numbers and the full report are in the repo. It's a preview, so expect bugs: https://github.com/Veloresearch/velocity-local-services…
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Timeline · 1 report
- 2026-10-12 15:17 · r/LocalLLM
4B model, 6 GB laptop GPU, 32M tokens of context. Fully local.