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
| language: | |
| - en | |
| license: apache-2.0 | |
| license_link: https://huggingface.co/Qwen/Qwen2.5-Coder-3B-Instruct/blob/main/LICENSE | |
| pipeline_tag: text-generation | |
| base_model: Qwen2.5-Coder-3B-Instruct | |
| base_model_relation: quantized | |
| library_name: litert-lm | |
| tags: | |
| - litert-lm | |
| - litertlm | |
| - qwen | |
| - Qwen2.5 | |
| # Qwen2.5-Coder-3B-Instruct LiteRT-LM Model | |
| 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. | |
| ## Available Artifact | |
| | File | Quantization Recipe | Context | Size | | |
| |---|---|---:|---:| | |
| | `Qwen2.5_Coder_3B_It.litertlm` | dynamic_wi8_afp32 | - | 3.4 GB | | |
| ## Integration | |
| Ready to integrate this into your product? Get started in the [LiteRT-LM documentation](https://ai.google.dev/edge/litert-lm/overview). |