Instructions to use litert-community/Qwen2.5-Coder-3B-Instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LiteRT-LM
How to use litert-community/Qwen2.5-Coder-3B-Instruct 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/Qwen2.5-Coder-3B-Instruct \ model.litertlm \ --prompt="Write me a poem"
- Notebooks
- Google Colab
- Kaggle
Create README.md
Browse files
README.md
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---
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language:
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- en
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license: apache-2.0
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license_link: https://huggingface.co/Qwen/Qwen2.5-Coder-3B-Instruct/blob/main/LICENSE
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pipeline_tag: text-generation
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base_model: Qwen2.5-Coder-3B-Instruct
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base_model_relation: quantized
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library_name: litert-lm
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tags:
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- litert-lm
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- litertlm
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- qwen
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- Qwen2.5
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---
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# Qwen2.5-Coder-3B-Instruct LiteRT-LM Model
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This repository contains LiteRT-LM variant of [Qwen/Qwen2.5-Coder-3B-Instruct](https://huggingface.co/Qwen/Qwen2.5-Coder-3B-Instruct) optimized for on-device text generation.
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## Available Artifact
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| File | Quantization Recipe | Context | Size |
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|---|---|---:|---:|
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| `Qwen2.5_Coder_3B_It.litertlm` | dynamic_wi8_afp32 | - | 3.4 GB |
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## Integration
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Ready to integrate this into your product? Get started in the [LiteRT-LM documentation](https://ai.google.dev/edge/litert-lm/overview).
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