Gemma-4-31B-it-RAM-3bit-MLX

Gemma-4-31B-it — RAM 3bit (MLX)

A quantized build of google/gemma-4-31B-it produced by baa.ai. Retains the full vision tower, unlike other pre-quantized MLX variants of this model.

Usage

from mlx_vlm import load, generate

model, processor = load("baa-ai/Gemma-4-31B-it-RAM-3bit-MLX")
prompt = processor.tokenizer.apply_chat_template(
    [{"role": "user", "content": [{"type": "text", "text": "Hello!"}]}],
    add_generation_prompt=True, tokenize=False,
)
result = generate(model, processor, prompt, max_tokens=512, verbose=True)
print(result.text)

Benchmark results

Measured on vanilla MMLU (500 questions) and MathVision MCQ (20 questions).
Unsloth Gemma 4 MLX variants strip the vision tower — they cannot process images.

This model vs Unsloth Gemma-4-31B 3bit (500-question MMLU):

• RAM: 89.2%  ·  Unsloth: 75.6%  ·  Gap: +13.6 pp
• Size: Unsloth 19.52 GB → RAM 19.49 GB (30 MB smaller, vision retained)
• MathVision: RAM 50.0%  ·  Unsloth: N/A (no vision)

<details> <summary>Full results table — all 31B variants</summary>

80-question run

500-question run

</details>

License

Inherited from the upstream Gemma license.

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baa.ai

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