Developer Tools / AI/ML Developer Tools

Shoehorn

Shoehorn is a Rust library and CLI for fitting GGUF LLMs into available Mac VRAM by choosing a per-tensor mixed-precision quantization plan. It can probe usable GPU memory, account for KV cache and compute buffers, generate or use an imatrix, write a fitted GGUF, and launch llama.cpp inference.

Clear28/30
Useful27/30
Specific17/20
Complete17/20
Shoehorn screenshot

Why it was accepted

The page clearly describes an AI developer tool with a concrete job: quantizing LLMs so they fit a target memory budget, especially on Apple Silicon Macs. The crawl shows usage examples, a quick start, how the budget is computed, supported formats, and implementation details, which is enough for a useful public listing.

Weakness

The snapshot does not show release activity, issue status, test coverage, or whether the project is actively maintained beyond the repo contents. It also leaves some practical limits unclear, such as supported model families beyond the examples and how well it works outside macOS Apple Silicon.

Review status

just now #67 → 0

Last evaluated just now. Current rank #67. Holding steady in the rankings.

Score history

89

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