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gemma-4-E4B-it Robot

gemma-4-E4B-it

The Gemma 4 E4B-it is a 4.1-billion parameter dense model built for high-performance edge computing. It serves as a superior alternative to traditional 7B models, offering similar reasoning benchmarks while requiring 40% less memory. It is the ideal choice for local RAG (Retrieval-Augmented Generation), mobile integration, and high-speed agentic workflows.

$0.03/1M input tokens; $0.06/1M output tokens

Input

No template available.
You can add a prompt template in the admin panel.

Output

Google Gemma 4 E4B-it Documentation

The Gemma 4 E4B-it is a 4.1-billion parameter dense model built for high-performance edge computing. It serves as a superior alternative to traditional 7B models, offering similar reasoning benchmarks while requiring 40% less memory. It is the ideal choice for local RAG (Retrieval-Augmented Generation), mobile integration, and high-speed agentic workflows.

Key Capabilities

  • Edge Mastery: Optimized for NPU (Neural Processing Unit) acceleration on mobile and desktop chips (Apple M-series, Snapdragon, Intel Core Ultra).
  • Instruction Following: Fine-tuned using RLHF for strict adherence to complex system prompts and JSON output formats.
  • 128K Context Window: Large enough for analyzing multiple source documents locally without offloading to the cloud.
  • Low Latency: Capable of generating over 100 tokens per second on mid-range consumer GPUs.
  • Privacy First: Designed for "On-Device" deployment where data security and offline functionality are paramount.

Request Parameters

To interact with this model via the us-01.bytecompute.ai endpoint:

Parameter Type Required Description
model string Yes Use "google/gemma-4-e4b-it".
messages array Yes Standard role-based message objects (system, user, assistant).
max_tokens integer No Maximum generation length. Default: 2048.
temperature float No Controls creativity. Recommended: 0.1 for logic, 0.6 for chat.
top_p float No Nucleus sampling threshold. Default: 0.9.

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