--- license: apache-2.0 base_model: Qwen/Qwen2.5-Coder-7B-Instruct base_model_relation: finetune language: - en - code library_name: mlx pipeline_tag: text-generation tags: - go - golang - code-review - static-analysis - guildlm - code-guild - mlx --- # GuildLM · go-review **A small, sharp Go *code-review* specialist from the GuildLM Code Guild.** `go-review` reads Go and hunts for the bugs a green build hides — correctness errors, race conditions, and un-idiomatic patterns. It is one of three specialists in the GuildLM Code Guild ([`go-dev`](https://huggingface.co/guildlm/go-dev) · [`go-test`](https://huggingface.co/guildlm/go-test) · `go-review`) built to work together in a **verification-driven agent loop**. > **Why a reviewer in the loop?** A passing test suite proves the cases you thought of. `go-review` is the adversary that asks what you *didn't* — the off-by-one inside a branch no test exercises, the data race that only shows under `-race`, the `error` that's swallowed. Inside the [GuildLM Builder](https://github.com/guildlm/builder) it runs as a **non-regressing** pass: a fix it suggests is kept only if the project is still green afterward. --- ## Why this isn't "just Qwen with a name" `go-review` is a **fused, standalone** model (no separate adapter) with its **own identity** — ask who it is and it answers *GuildLM go-review*. It is an honest Apache-2.0 derivative of [Qwen2.5-Coder-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-Coder-7B-Instruct), fine-tuned for one craft: reviewing Go. ## What it's for - Reviewing diffs and files for real bugs: nil derefs, index errors, unhandled errors, races, deadlocks. - Flagging un-idiomatic Go (ignored `error`s, needless allocations, non-stdlib reflexes). - Acting as the *review* role inside the Builder, catching what a green build and the tests both missed. ## Benchmarks Measured locally with the real Go toolchain. | Benchmark | Metric | go-review | base 7B | |---|---|---|---| | crucible `go_review_bench` (8 planted bugs) | identify@1 | 6/8 | 7/8 | > **Honest note from the [research log](https://guildlm.github.io/research/):** for review, the base is *already* strong (7/8) and per-role fine-tuning is within noise — we don't pretend otherwise. `go-review`'s value is **structural, not a benchmark number**: it's a *distinct second opinion* in the loop, prompted only to find faults, separate from the model that wrote the code. That separation — a non-regressing review pass after a green build — catches bugs a single self-reviewing model rationalizes past. Use it as the third member of the guild, not as a solo linter. ## Quickstart ### Apple Silicon (MLX) ```bash pip install mlx-lm python -m mlx_lm generate --model guildlm/go-review \ --prompt "Review this Go for bugs:\n\nfunc Sum(xs []int) int { s := 1; for _, x := range xs { s += x }; return s }" \ --max-tokens 300 ``` ### Ollama (GGUF) ```bash ollama run guildlm/go-review "Review this handler for race conditions and unhandled errors: ..." ``` ### Inside the agent loop (recommended) ```bash python -m mlx_lm server --model guildlm/go-review --port 8082 guildlm-build --spec specs/myservice.yaml --out ./out \ --base-url http://localhost:8080/v1 \ --test-model guildlm/go-test \ --review-model guildlm/go-review --review-base-url http://localhost:8082/v1 ``` ## Prompting Trained with the system prompt: > *You are GuildLM go-review, a Go code-review specialist from the GuildLM Code Guild.* Give it Go code and ask what's wrong. It reports concrete, located findings rather than vague praise. ## The Guild | Specialist | Job | |---|---| | [**go-dev**](https://huggingface.co/guildlm/go-dev) | writes the implementation | | [**go-test**](https://huggingface.co/guildlm/go-test) | writes thorough table-driven tests | | [**go-review**](https://huggingface.co/guildlm/go-review) | audits for bugs a green build hides | - Agent loop: **https://github.com/guildlm/builder** - Research log: **https://guildlm.github.io/research/** ## License & attribution Apache-2.0, inherited from [Qwen2.5-Coder-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-Coder-7B-Instruct) (© Alibaba Cloud). GuildLM fine-tuning, identity, and packaging under the same license. Trained locally on Apple Silicon with MLX — **total cloud spend: $0**.