GGUF quantized version of the Kimi K2.7 code model provided by Unsloth. It is designed for local execution using tools such as llama.cpp, Ollama, or LM Studio. The model supports code generation, completion, and instruction following in a variety of programming languages.
In the Quantised & converted weights space, Kimi K2.7 Code takes a focused approach. It focuses on running capable coding models locally using standard GGUF-compatible tools with minimal setup. It is built as an open-source project for developers. The project is open source (Apache-2.0). It runs on the web, the command line, and API.
It is developed by Unsloth, and it first shipped in 2023. Development happens publicly on GitHub with 68.4k stars and 1.2k commits in the last 90 days. It operates in a well-populated space: PulseGate tracks 5 similar projects. Among its 3 catalogued features are GGUF format, code model, and local inference.
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