Gemma 4 12B
An open-source language model in Google's Gemma series with 12 billion parameters, suited for local deployment and operation on consumer-grade hardware.
Timeline (last 90 days)
测试使用了Nvidia的管理程序和专用驱动，在本地运行了Qwen 3.5 9b、Nemotron 3 Nano 4b和Gemma 4 12B等模型。
In a test of 49 images, Gemma 4 12B correctly identified 45, and Gemma 4 31B correctly identified 47; both had the problem of misjudging pure cables as chargers, whereas MiniCPM-V did not make this error.
Gemma 4 12B, Qwen3.5 9B, and Ministral 3 8B all release their weights publicly under the Apache 2.0 license.
In memory recall tests, the 12B model answered 82 out of 100 questions correctly and the 31B model answered 98 out of 100, with neither model hallucinating answers.
The experimental setup used a single NVIDIA H100 serving via vLLM, with test models Gemma 4 12B and Gemma 4 31B, and input data consisting of 50 million tokens of real public text.
For small-to-medium models that fit within 32 GB of VRAM, the RTX 5090 leads (approximately 45% on Gemma 4 12B and over 75% on GPT-OSS 20B), but the lead on Qwen 3 27B drops from 47% at Q4 to 23% at Q8.
The author subjectively rated Bonsai's pagoda scene as having the richest detail and leading quality, with Gemma 4 coming second, and Qwen 3.5 9B producing broken output.
Popular choices in the 9B-parameter small model market include Gemma 4 12B, Qwen 3.5 9B, and Ornith 1.5 9B.
All Facts (6)
For small-to-medium models that fit within 32 GB of VRAM, the RTX 5090 leads (approximately 45% on Gemma 4 12B and over 75% on GPT-OSS 20B), but the lead on Qwen 3 27B drops from 47% at Q4 to 23% at Q8.
60%Unverified测试使用了Nvidia的管理程序和专用驱动，在本地运行了Qwen 3.5 9b、Nemotron 3 Nano 4b和Gemma 4 12B等模型。
50%UnverifiedIn a test of 49 images, Gemma 4 12B correctly identified 45, and Gemma 4 31B correctly identified 47; both had the problem of misjudging pure cables as chargers, whereas MiniCPM-V did not make this error.
50%UnverifiedGemma 4 12B, Qwen3.5 9B, and Ministral 3 8B all release their weights publicly under the Apache 2.0 license.
50%UnverifiedThe experimental setup used a single NVIDIA H100 serving via vLLM, with test models Gemma 4 12B and Gemma 4 31B, and input data consisting of 50 million tokens of real public text.
50%UnverifiedIn memory recall tests, the 12B model answered 82 out of 100 questions correctly and the 31B model answered 98 out of 100, with neither model hallucinating answers.
50%