Gemma-4-E2B-it
Lightweight multimodal model from Google DeepMind handling text and image input.
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 small models) 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.
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This model is currently not supported on any Compute chipset.
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View for other chipsetsTechnical Details
Input sequence length for Prompt Processor:128
Minimum QNN SDK version required:2.45.0
Model architecture:Transformer with SigLIP-style ViT Vision Encoder, Per-Layer Embeddings (PLE), interleaved sliding-window/global attention with Grouped Query Attention (GQA), and shared KV layers.
Number of parameters:2B (effective)
Precision:w4a16
Response Rate:Rate of response generation after the first response token.
Supported languages:Multilingual (trained on 140+ languages)
TTFT:Time To First Token is the time it takes to generate the first response token. This is expressed as a range because it varies based on the length of the prompt.
Use:Initiate conversation with prompt-processor and then token generator for subsequent iterations.
Applicable Scenarios
- Dialogue
- Content Generation
License
Model:APACHE-2.0
Terms of Use:Qualcomm® Generative AI usage and limitations
Tags
- llm
- vlm
- generative-ai
Supported Compute Devices
- Snapdragon X Elite CRD
- Snapdragon X2 Elite CRD
Supported Compute Chipsets
- Snapdragon® X Elite
- Snapdragon® X2 Elite
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