Public KG record
Gemma-4-E4B
Recorded overview
Hugging Face GitHub Launch Blog Documentation Technical Report Gemma is a family of open models built by Google DeepMind. Gemma 4 models are multimodal, handling text and image input (with audio supported on E2B, E4B, and 12B) and generating text output. This release includes open-weights models in both pre-trained and instruction-tuned variants. Gemma 4 features a context window of up to 256K tokens and maintains multilingual support in over 140 languages.
An evidence-backed entity from the project knowledge graph; detailed tool metadata is still being added.
Recorded details
- Benchmarks: LiveCodeBench v6：69.4
- Integrations: transformers integration
- Integrations: safetensors integration
- License: apache-2.0
- License: Apache 2.0
- Supported types: multimodal input/output
- Supported types: 文本、图像、音频
Evidence coverage
The KG currently records 9 known information dimensions and has 9 undocumented dimensions, linked to 4 public source articles. These counts describe record coverage, not model performance or verified fit.
Related public records
- Google DeepMind — develops
- LFM2.5-VL-3B — competes with
- LFM2.5-VL-3B — competes with