What are the hardware requirements for Gemma 4 12B It Bf16?

Gemma 4 12B It Bf16 requires approximately 23.9 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Gemma 4 12B It Bf16 and how large is it?

Gemma 4 12B It Bf16 is developed by mlx-community, a model with 12b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Gemma 4 12B It Bf16?

Gemma 4 12B It Bf16 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Gemma 4 12B It Bf16 by mlx-community — VRAM 23.9GB

Name: Gemma 4 12B It Bf16
Author: mlx-community

Gemma 4 12B It Bf16 is an open-source language model by mlx-community. Features: 12b LLM, VRAM: 23.9GB, LLM Explorer Score: 0.38.

Conversational En Gemma4 unified Image-text-to-text Mlx Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/mlx-community/gemma-4-12B-it-bf16

Gemma 4 12B It Bf16 Benchmarks

LLME Score: 0.38219

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

Gemma 4 12B It Bf16 (mlx-community/gemma-4-12B-it-bf16)

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Gemma 4 12B It Bf16 Parameters and Internals

LLM Name	Gemma 4 12B It Bf16
Repository 🤗	https://huggingface.co/mlx-community/gemma-4-12B-it-bf16
Model Size	12b
Required VRAM	23.9 GB
Updated	2026-06-05
Maintainer	mlx-community
Model Type	gemma4_unified
Model Files	5.3 GB: 1-of-5 5.4 GB: 2-of-5 5.3 GB: 3-of-5 5.3 GB: 4-of-5 2.6 GB: 5-of-5
Supported Languages	en
Model Architecture	Gemma4UnifiedForConditionalGeneration
Transformers Version	5.10.0.dev0
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>

Best Alternatives to Gemma 4 12B It Bf16

Best Alternatives	Context / RAM	Downloads	Likes
Gemma 4 12B It	0K / 23.9 GB	1073	8
Gemma 4 12B It 4bit	0K / 10.9 GB	9277	5

Note: green Score (e.g. "73.2") means that the model is better than mlx-community/gemma-4-12B-it-bf16.

Rank the Gemma 4 12B It Bf16 Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation

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Release v20260328a

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Gemma 4 12B It Bf16 by mlx-community

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Gemma 4 12B It Bf16 Benchmarks

Gemma 4 12B It Bf16 Parameters and Internals

Best Alternatives to Gemma 4 12B It Bf16

Rank the Gemma 4 12B It Bf16 Capabilities

What open-source LLMs or SLMs are you in search of? 54323 in total.