Instructions to use litert-community/Qwen3-4B-Instruct-2507 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LiteRT-LM
How to use litert-community/Qwen3-4B-Instruct-2507 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=litert-community/Qwen3-4B-Instruct-2507 \ --prompt="Write me a poem"
- Notebooks
- Google Colab
- Kaggle
Add short-named mixed INT4 LiteRT-LM bundle
Browse files
.gitattributes
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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qwen3_4b_instruct_2507_torchao_mixed_int4_runtime_bmm_kv2048_prefill256.litertlm filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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qwen3_4b_instruct_2507_torchao_mixed_int4_runtime_bmm_kv2048_prefill256.litertlm filter=lfs diff=lfs merge=lfs -text
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qwen3_4b_instruct_2507_mixed_int4.litertlm filter=lfs diff=lfs merge=lfs -text
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qwen3_4b_instruct_2507_mixed_int4.litertlm
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version https://git-lfs.github.com/spec/v1
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oid sha256:9e48b165836256f5344d9d044930607b9c47f6ef34e27f82e96881664f3ba2fd
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size 2659057664
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