Google - Dense - verified
Run Gemma 4 E2B locally
Gemma 4 E2B is a 5.1B dense model from Google with a 131K-token context window, released under Apache 2.0 (commercial use is allowed); the smallest listed download is 3.1 GB, the Q4_K_M GGUF build from unsloth/gemma-4-E2B-it-GGUF.
Official weights: google/gemma-4-E2B-it - modalities: text, image, audio, video
- Total params
- 5.1B
- Architecture
- Dense
- Context
- 131K
- Smallest download
- 3.1 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 | 10.2 GB | google/gemma-4-E2B-it |
Q4_0 (QAT) | GGUF | 3.3 GB | google/gemma-4-E2B-it-qat-q4_0-gguf |
Q4_K_MSmallest listed | GGUF | 3.1 GB | unsloth/gemma-4-E2B-it-GGUF |
Q8_0 | GGUF | 5.0 GB | unsloth/gemma-4-E2B-it-GGUF |
4bit | MLX | 3.6 GB | mlx-community/gemma-4-e2b-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
The E means effective parameters (2.3B effective, 5.1B with per-layer embeddings), aimed at phones and edge devices.
Released (per the announcement).
FAQ
How big is the Gemma 4 E2B download?
The official BF16 weights in google/gemma-4-E2B-it are 10.2 GB. The smallest listed download is 3.1 GB, the Q4_K_M GGUF build from unsloth/gemma-4-E2B-it-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 E2B commercially?
Gemma 4 E2B 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 E2B?
By this directory's rule of thumb it fits in 8 GB and up: the smallest listed download, 3.1 GB, is at most 85% of 8 GB, which leaves room for the context and the operating system.
How do I run Gemma 4 E2B with Ollama?
Run "ollama run gemma4:e2b", as shown at https://ollama.com/library/gemma4. The Ollama library lists the gemma4:e2b tag at 4.6GB - 7.5GB.
What is the context length of Gemma 4 E2B?
131,072 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
- config.json - huggingface.co
- Model card (family table) - huggingface.co
- Ollama gemma4 - ollama.com
- Google launch blog - blog.google
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