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
| This application downloads and runs language models produced by third parties. | |
| 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. | |