Instructions to use mendelmakerpaul/echopeak-models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LiteRT-LM
How to use mendelmakerpaul/echopeak-models 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=mendelmakerpaul/echopeak-models \ --prompt="Write me a poem"
- LiteRT
How to use mendelmakerpaul/echopeak-models 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
File size: 1,842 Bytes
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Every model it ships is distributed under the Apache License, Version 2.0, a copy
of which is included as LICENSE-apache-2.0.txt.
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Gemma 4 E2B (gemma-4-E2B-it.litertlm)
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Gemma 4 is provided by Google under the Apache License, Version 2.0.
https://ai.google.dev/gemma
https://ai.google.dev/gemma/apache_2
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Qwen2.5 1.5B Instruct
(Qwen2.5-1.5B-Instruct_multi-prefill-seq_q8_ekv4096.litertlm)
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Qwen2.5-1.5B-Instruct is provided by Alibaba Cloud under the Apache License,
Version 2.0. Converted to LiteRT-LM format by the litert-community project.
https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct
https://huggingface.co/litert-community/Qwen2.5-1.5B-Instruct
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Embedding model
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EmbeddingGemma 300M is provided by Google and powers on-device semantic search.
See https://ai.google.dev/gemma for its terms.
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Earlier builds shipped Gemma 3 1B, which falls under the separate Gemma Terms of
Use rather than Apache 2.0. That model was removed, and with it the obligation to
distribute the Gemma Terms and the Prohibited Use Policy alongside the weights.
Re-adding any model listed in the appendix of ai.google.dev/gemma/terms
(Gemma 1, 1.1, 2, 3, 3n) would reinstate those obligations.
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