Instructions to use Slinkies86/e4b_multimodal_agent with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LiteRT
How to use Slinkies86/e4b_multimodal_agent with LiteRT:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Commit History
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Verified signature🏗️ Extended Architecture & Capabilities The Orchestration Engine The E4B Multimodal Master Core is the culmination of our "Production Day 1" engineering mandate. As the Anyone-Hub platform expanded to encompass native IDEs (Nova Code / Mobile-Theia) and custom Rust-ported components, the ecosystem required a Senior-level intelligence core. The E4B model is designed for deep codebase auditing, multi-file compilation tracking, and complex toolchain management. It possesses the parameter depth required to grasp an entire project scope and generate flawless, highly optimized production code entirely offline. The 16KB-Aligned Native Bridge To deploy a 4-billion parameter model to a mobile device without triggering Out-Of-Memory (OOM) fatal errors, we bypassed standard Android asset loading completely. The E4B .litertlm bundle is designed to be fetched dynamically from a CDN and stored in local, protected device storage. It is then streamed directly into our proprietary 55MB native C++ JNI…d104c0e -
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Verified signatureThe Anyone-Hub E4B Multimodal Agent is a bleeding-edge, 4-billion parameter multimodal model designed for heavy-duty, local Android orchestration. Serving as the master intelligent core for the Anyone-Hub platform, this model provides advanced reasoning, vision parsing, and audio processing natively on-device. Packed into the highly compressed .litertlm format, the E4B agent bypasses traditional Android memory constraints by streaming directly from local device storage into a custom-compiled, 16KB-aligned LiteRT-LM execution engine. It is strictly configured to interact with highly secure, pKVM-isolated Debian rootfs environments. Key Features: Format: .litertlm (Bundled TFLite adapter sections + SentencePiece Tokenizer) Capabilities: Advanced Text Reasoning, Vision Encoding, and Audio Processing. Performance: Integrated MTP Drafter for Speculative Decoding. Deployment: Optimized for Android NPU/GPU/OpenCL via liblitertlm_jni.so. Copyright © 2024 anyone-Hub2aaffe8 -
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