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vilogon/gemma-4-12b-reviewer-MLX-4bit
gemma-4-12b-reviewer-MLX-4bit is a text generation model from vilogon. Use it when you need the model to write or continue text. It is set up for mlx.
This is a standalone fine-tuned version of Gemma 4 12B for software project and code review, converted to native 4-bit MLX for Apple Silicon. The fine-tuned weights are merged into the model; no separate adapter is re…
Downloads · 30 days
150
3% of all-time downloads
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From the Hugging Face model README
This is a standalone fine-tuned version of Gemma 4 12B for software project and code review, converted to native 4-bit MLX for Apple Silicon. The fine-tuned weights are merged into the model; no separate adapter is required.
It is designed to produce focused, actionable review findings, use repository tools effectively, and recommend clear, self-explanatory implementations.
The release uses a calibrated merge of the fine-tuned and base weights to preserve general instruction-following quality while retaining the reviewer behavior.
Download it from the model's public Hugging Face URL in LM Studio, or run:
lms get https://huggingface.co/vilogon/gemma-4-12b-reviewer-MLX-4bit --mlx
For typical local review work, a 16,384-token context is a practical starting point.
The release candidate scored 97/100 on a balanced comment-and-naming policy suite: 50/50 required-change cases and 47/50 clean controls. It also returned NO_COMMENT for all 10 clean changes in a separate held-out review sample.
The focused suite evaluates one policy violation at a time. When a small diff contains both an authored comment and an opaque name, the model can return only one of the two findings; use separate policy passes when exhaustive style enforcement is required.