Instructions to use mlboydaisuke/Qwen2.5-3B-Instruct-LiteRT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LiteRT-LM
How to use mlboydaisuke/Qwen2.5-3B-Instruct-LiteRT 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 # A single .litertlm file in the repo is picked automatically; otherwise the CLI asks which one to run # (or pass its name right after the repo id). litert-lm run \ --from-huggingface-repo=mlboydaisuke/Qwen2.5-3B-Instruct-LiteRT \ --prompt="Write me a poem"
- LiteRT
How to use mlboydaisuke/Qwen2.5-3B-Instruct-LiteRT 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
- Notebooks
- Google Colab
- Kaggle
Commit History
6 days ago
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Add a known runtime issue: a preface with tools and no messages fails to render the chat template
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Chat template: accept the 0.18 content-parts form (string form unchanged); weights, tokenizer and executor metadata byte-identical
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Card: base_model_relation: quantized (so the conversion lists under the base model's Quantizations, not Finetunes)
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Card: note the default-system-prompt fix (weights unchanged)
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Restore the vendor's default system prompt in the chat template (weights unchanged). The converter's template probe never renders the block the upstream template emits when the caller sends no system message, so the bundle silently dropped it; with no system message the prompt now renders byte-identical to the upstream chat template's output (see the card note).
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Link the card back to its collection and the request box
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Upload model.litertlm with huggingface_hub
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Upload NOTICE with huggingface_hub
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Upload LICENSE with huggingface_hub
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Upload README.md with huggingface_hub
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initial commit
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