wolfv/gguf-feedstock — explained in plain English
Analysis updated 2026-07-18 · repo last pushed 2024-10-01
Install GGUF with a single conda command instead of compiling it from source
Automatically get an updated GGUF package shortly after the upstream library changes
Use a version of GGUF confirmed to work across Windows, Mac, and Linux
Contribute a fix or update to the packaging recipe via a pull request
| wolfv/gguf-feedstock | 0verflowme/alarm-clock | 0verflowme/seclists | |
|---|---|---|---|
| Language | — | CSS | — |
| Last pushed | 2024-10-01 | 2022-10-03 | 2020-05-03 |
| Maintenance | Stale | Dormant | Dormant |
| Setup difficulty | easy | easy | easy |
| Complexity | 2/5 | 2/5 | 1/5 |
| Audience | developer | vibe coder | ops devops |
Figures from each repo's GitHub metadata at analysis time.
Requires conda installed, end users just run a conda install command.
A conda-forge packaging recipe that automatically builds and distributes GGUF, a file format for storing AI models, so it can be installed with a single conda command.
Stale — no commits in 1-2 years (last push 2024-10-01).
Setup difficulty is rated easy, with roughly 5min to a first successful run.
Mainly developer.
This repo across BitVibe Labs
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