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metricspace/greppy-qwen35-mtp-q4km
greppy-qwen35-mtp-q4km is a machine learning model from metricspace. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for gguf. The card lists the license as apache-2.0.
A full-parameter fine-tune of Qwen3.5-0.8B trained in-house by metricspace for greppy, the local code-navigation tool for coding agents. greppy embeds this file in its binary and runs it on device (native Rust + vendo…
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From the Hugging Face model README
A full-parameter fine-tune of Qwen3.5-0.8B
trained in-house by metricspace for
greppy, the local
code-navigation tool for coding agents. greppy embeds this file in its binary
and runs it on device (native Rust + vendored Metal/CUDA kernels — no
llama.cpp runtime, Python, or model server) to write the one-line purpose
hint shown under each function signature that greppy returns (brief,
who-calls, semantic-search, …).
This is not a stock checkpoint. It is greppy's own model, distilled specifically for code-navigation summaries.
greppy-qwen35-function-purpose-2026-07-11Qwen/Qwen3.5-0.8Bmodel-qwen35-nano-20260716-0749).tokenizer.json).Apache-2.0 (inherited from Qwen3.5-0.8B). Attribution, the record of modifications, and full training/data provenance are included:
QWEN3.5-APACHE-2.0.txtQWEN3.5-MODIFICATIONS.txtQWEN3.5-PROVENANCE.jsonQWEN3.5-TRAINING-DATA-MANIFEST.jsonPurpose-hint generation and short code summaries inside greppy. The hints are navigation aids, not authority: greppy attaches them to the exact source signature, and callers are expected to read the returned source before acting.