Fine-tuned models

GNO ships gno-expansion-slim-retrieval-v1 as the expand role in slim-tuned (nDCG@10 0.925, Ask Recall@5 0.875). It does not train on your corpus.

GNO publishes gno-expansion-slim-retrieval-v1, a fine-tuned retrieval expansion model trained locally on Apple Silicon with MLX LoRA.

What this is

The expansion model rewrites or augments difficult queries before retrieval. It is the local expand GGUF in slim-tuned. Embeddings and standalone answers use other roles. Promoted fixture: nDCG@10 0.925, Ask Recall@5 0.875.

The numbers

• nDCG@10 0.925 on the canonical benchmark corpus
• Ask Recall@5 0.875 on the ask-style answer benchmark
• Shipped via Hugging Face, pulled on first run

Install it

gno models use slim-tuned
gno models pull --expand

Contributor training workflow

End users select or download the shipped model; GNO does not train on an indexed corpus. Contributors developing replacement expansion models can use the research harness in the main GNO repo under research/, then benchmark and export a portable GGUF.

Benchmarks

Before promoting a model change, run the benchmark suite. Use gno bench for a public CLI check against your own fixture, and see the benchmarks feature page for the fixture workflow and result metrics.

gno bench docs/examples/bench-fixture.json
gno bench fixture.json --json