62 lines
2.1 KiB
Markdown
62 lines
2.1 KiB
Markdown
<!--Copyright 2023 The HuggingFace Team. All rights reserved.
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Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
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Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on
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# Open-Llama
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<Tip warning={true}>
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This model is in maintenance mode only, we don't accept any new PRs changing its code.
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If you run into any issues running this model, please reinstall the last version that supported this model: v4.31.0.
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You can do so by running the following command: `pip install -U transformers==4.31.0`.
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</Tip>
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<Tip warning={true}>
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This model differs from the [OpenLLaMA models](https://huggingface.co/models?search=openllama) on the Hugging Face Hub, which primarily use the [LLaMA](llama) architecture.
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</Tip>
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## Overview
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The Open-Llama model was proposed in the open source Open-Llama project by community developer s-JoL.
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The model is mainly based on LLaMA with some modifications, incorporating memory-efficient attention from Xformers, stable embedding from Bloom, and shared input-output embedding from PaLM.
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And the model is pre-trained on both Chinese and English, which gives it better performance on Chinese language tasks.
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This model was contributed by [s-JoL](https://huggingface.co/s-JoL).
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The original code was released on GitHub by [s-JoL](https://github.com/s-JoL), but is now removed.
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## OpenLlamaConfig
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[[autodoc]] OpenLlamaConfig
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## OpenLlamaModel
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[[autodoc]] OpenLlamaModel
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- forward
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## OpenLlamaForCausalLM
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[[autodoc]] OpenLlamaForCausalLM
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- forward
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## OpenLlamaForSequenceClassification
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[[autodoc]] OpenLlamaForSequenceClassification
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- forward
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