Image-Text-to-Text
LiteRT-LM
LiteRT
LiteRT
Qwen3.5
on-device
hybrid-attention
GatedDeltaNet
multimodal
vision
conversational
Instructions to use GabrieleConte/Qwen3.5-0.8B-LiteRT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LiteRT-LM
How to use GabrieleConte/Qwen3.5-0.8B-LiteRT with LiteRT-LM:
# LiteRT-LM runs on various platforms (Android, iOS, Windows, Linux, macOS, IoT, Web/WASM) # and supports many APIs (C++, Python, Kotlin, Swift, JavaScript, Flutter). # For platform-specific integration guides, please refer to the official developer website: # https://ai.google.dev/edge/litert-lm # To try LiteRT-LM, the easiest way is to use our CLI tool. # 1. Install the LiteRT-LM CLI tool: pip install litert-lm # 2. Download and run this model locally: # See: https://ai.google.dev/edge/litert-lm/cli litert-lm run \ --from-huggingface-repo=GabrieleConte/Qwen3.5-0.8B-LiteRT \ model.litertlm \ --prompt="Write me a poem"
- LiteRT
How to use GabrieleConte/Qwen3.5-0.8B-LiteRT 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
- Xet hash:
- 143e4a24853bb2908eb52f132b24d40f2b8f05b26b620c40423887a5f2c3e20c
- Size of remote file:
- 92.3 MB
- SHA256:
- 2e58590d0a610d399438223c854192ac3ccbfc98b0bd57f0aedb84ddae17540a
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