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FLE Studio 0.1.0
First public release of FLE Studio: a local chat and lab for llama.cpp and the FLE engine, on macOS, Linux and Windows.
What it does
- Chat in your browser with Markdown, code blocks, a collapsible reasoning block, streaming answers and the speed of each answer. History stays on your machine.
- Live inference data while the model answers: generation and prompt speed, draft/MTP acceptance, NVIDIA GPU use and the FLE engine's expert-cache hit rate.
- Model loader for the FLE quants of Qwen3.8-Flash-Next and any GGUF repo on Hugging Face, with a fit check before downloading, pause/resume and SHA-256 checks.
- Launch profiles with the full command line shown before anything starts.
- Picks a suitable engine (FLE CUDA build, or llama.cpp CUDA/Metal/Vulkan/CPU), or uses your own
llama-server, a running server, or a systemd service. - Experiments page with a short, repeatable speed test.
Install
macOS and Linux:
curl -LsSf https://raw.githubusercontent.com/sirfyyn/fle-studio/main/install.sh | shWindows (PowerShell):
irm https://raw.githubusercontent.com/sirfyyn/fle-studio/main/install.ps1 | iexThe installers need git, never ask for administrator rights and install this release (v0.1.0) as a uv tool.
Notes
- Early release: expect rough edges and please open an issue when you find one.
- No account, no telemetry; nothing leaves your machine except the downloads you start.
- Tested in CI on macOS, Linux and Windows (Python 3.10 and 3.13, plus a browser end-to-end run against a stand-in engine).
- MIT licensed.