Instructions to use macunaima/Qwen3-0.6B-SM8650-LiteRT-LM-Dynamic-INT8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LiteRT
How to use macunaima/Qwen3-0.6B-SM8650-LiteRT-LM-Dynamic-INT8 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
- LiteRT-LM
How to use macunaima/Qwen3-0.6B-SM8650-LiteRT-LM-Dynamic-INT8 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 -U litert-lm # 2. Download and run this model locally: # See: https://ai.google.dev/edge/litert-lm/cli litert-lm run \ --from-huggingface-repo=macunaima/Qwen3-0.6B-SM8650-LiteRT-LM-Dynamic-INT8 \ --prompt="Write me a poem"
- Notebooks
- Google Colab
- Kaggle
Qwen3 0.6B Dynamic INT8 for Qualcomm SM8650
This is a Qualcomm SM8650 AOT compilation of
litert-community/Qwen3-0.6B file
Qwen3-0.6B.litertlm. The original Qwen metadata and tokenizer
are packaged with the compiled prefill/decode graph.
Artifact
- File:
qwen3-0.6b-sm8650-dynamic-int8.litertlm - Size: 658,959,760 bytes
- SHA-256:
dbb105f85adb0d88c028ea7a4a4fbd27439df72e15e002e9f2201a5fa22b8d5c - Context limit recorded by the source package: 4096 tokens
- Target: Qualcomm SM8650
- Build completed:
2026-09-11T21:49:59+00:00
The source bundle uses dynamic INT8 weights and a floating-point KV cache. Qualcomm AOT compilation and host-side LiteRT-LM container inspection passed. No physical SM8650 inference test has been performed, so runtime compatibility, quality, latency, memory use, and accelerator fallback remain unverified.
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