Instructions to use litert-community/DeepSeek-R1-Distill-Qwen-1.5B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LiteRT-LM
How to use litert-community/DeepSeek-R1-Distill-Qwen-1.5B 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=litert-community/DeepSeek-R1-Distill-Qwen-1.5B \ model.litertlm \ --prompt="Write me a poem"
- Notebooks
- Google Colab
- Kaggle
Add files using upload-large-folder tool
Browse files
.gitattributes
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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deepseek_q8_ekv1280.task filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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deepseek_q8_ekv1280.task filter=lfs diff=lfs merge=lfs -text
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DeepSeek-R1-Distill-Qwen-1.5B_multi-prefill-seq_q8_ekv1280.task filter=lfs diff=lfs merge=lfs -text
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DeepSeek-R1-Distill-Qwen-1.5B_multi-prefill-seq_f32_ekv1280.task filter=lfs diff=lfs merge=lfs -text
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DeepSeek-R1-Distill-Qwen-1.5B_multi-prefill-seq_f32_ekv1280.task
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oid sha256:e248760f004ea7b2968af267abf3e07f97382f7d372b575ec88fbcdcc01d2293
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DeepSeek-R1-Distill-Qwen-1.5B_multi-prefill-seq_q8_ekv1280.task
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oid sha256:31e6e3fdcb846e20e34f9f51b584f272b0869bf50bfd74dd2da03740854531f7
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size 1861094737
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commit_hash
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