AlexsJones/llmfit: Hundreds of models & providers. One command to find what runs on your hardware.
Why CEREBRO kept it
CLI to discover LLM models by hardware; token optimization
The text below is an automated extraction of the article at https://github.com/AlexsJones/llmfit, stored verbatim in the public cerebro-vault repository. Copyright remains with the original publisher (github.com).
📊 New: benchmark & share — real numbers from your machine, better estimates for everyone. Download a model, serve it, and measure real tok/s on your hardware — then contribute the results back to the project as a PR, straight from the TUI. No ghCLI, no third-party account. Every run is saved locally first, your own measurements replace estimates in the fit table, and each merged submission ships in the next release: anyone on identical hardware gets measured✓numbers before they ever run a benchmark. Follow the step-by-step benchmarking guide →Previously: llmfit 1.0 — the release where the numb
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