Google - Dense - verified
Run Gemma 4 31B locally
Gemma 4 31B is a 31.3B dense model from Google with a 262K-token context window, released under Apache 2.0 (commercial use is allowed); the smallest listed download is 17.7 GB, the Q4_0 (QAT) GGUF build from google/gemma-4-31B-it-qat-q4_0-gguf.
Official weights: google/gemma-4-31B-it - modalities: text, image, video
- Total params
- 31.3B
- Architecture
- Dense
- Context
- 262K
- Smallest download
- 17.7 GB
Fits in
Smallest download at most 85% of memoryDownloads
The official weights and every quantization listed for this model, with file sizes from Hugging Face.
| Download | Format | Size | Repo |
|---|---|---|---|
Official weights | BF16 | 62.5 GB | google/gemma-4-31B-it |
Q4_0 (QAT)Smallest listed | GGUF | 17.7 GB | google/gemma-4-31B-it-qat-q4_0-gguf |
Q4_K_M | GGUF | 18.3 GB | unsloth/gemma-4-31B-it-GGUF |
Q8_0 | GGUF | 32.6 GB | unsloth/gemma-4-31B-it-GGUF |
4bit | MLX | 18.4 GB | mlx-community/gemma-4-31b-it-4bit |
GB is decimal: 1 GB = 10^9 bytes. Add memory for the context and the operating system on top of the file size.
Run it
Copied verbatim from the page linked under each command. Server commands from model cards often assume a multi-GPU node; check the flags before you run them.
Transformers
pip install -U transformers torch accelerateNot sure which runtime to use? Compare local LLM runtimes by platform, API and features.
License
- License
- Apache 2.0
apache-2.0 - Commercial use
- Commercial use: YesCommercial use is allowed.
- Gated download
- No. The files download directly.
Worth knowing
Thinking is enabled by putting the <|think|> token at the start of the system prompt, and the vendor QAT GGUF needs its separate mmproj file for image input.
Released (per the announcement).
FAQ
How big is the Gemma 4 31B download?
The official BF16 weights in google/gemma-4-31B-it are 62.5 GB. The smallest listed download is 17.7 GB, the Q4_0 (QAT) GGUF build from google/gemma-4-31B-it-qat-q4_0-gguf. Plan for more memory than the file size: the context (KV cache) and the operating system need room too.
Can I use Gemma 4 31B commercially?
Gemma 4 31B is released under Apache 2.0, and commercial use is allowed. The license text is at https://ai.google.dev/gemma/docs/gemma_4_license.
How much memory do I need for Gemma 4 31B?
By this directory's rule of thumb it fits in 24 GB and up: the smallest listed download, 17.7 GB, is at most 85% of 24 GB, which leaves room for the context and the operating system.
How do I run Gemma 4 31B with Ollama?
Run "ollama run gemma4:31b", as shown at https://ollama.com/library/gemma4. The Ollama library lists the gemma4:31b tag at 19GB - 20GB.
What is the context length of Gemma 4 31B?
262,144 tokens. A longer context needs more memory for the KV cache, so you can run with a shorter one when memory is tight.
Sources
Last verified from the pages below.
- HF API - huggingface.co
- HF file tree - huggingface.co
- Model card - huggingface.co
- config.json - huggingface.co
- Ollama gemma4 - ollama.com
- Google launch blog - blog.google
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