Introducing LlamaStash: a zero-overhead, terminal-native llama.cpp launcher

A fast TUI, CLI, daemon, and OpenAI-compatible proxy for running local LLMs via llama.cpp, in one Rust binary

martedì 2 giugno 2026 New tab

2,551 words~12 min read

Originally published at deepu.tech.

In my recent post about my fully offline AI-assisted Linux development machine, I dropped a small detail near the bottom. I run my local model with an alias.

llamaServer

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Introducing LlamaStash: a zero-overhead, terminal-native llama.cpp launcher

Introducing LlamaStash: a zero-overhead, terminal-native llama.cpp launcher

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How fast is LlamaStash? Overhead, throughput, and a fair comparison with Ollama…

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Using OCR models with llama.cpp

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Related reading

How fast is LlamaStash? Overhead, throughput, and a fair comparison with Ollama…

LLM-Manager: Orchestrating Ollama and Llama.cpp with Pure Bash

New in llama.cpp: Model Management

Train and run Stanford Alpaca on your own machine – Replicate blog

Using OCR models with llama.cpp

Anti Refusal LLM Service