39 lines
1.8 KiB
Markdown
39 lines
1.8 KiB
Markdown
---
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license: other
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language:
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- en
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pipeline_tag: text-generation
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inference: false
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tags:
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- pytorch
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- llama
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- llama-2
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- qCammel-13
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library_name: transformers
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---
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# qCammel-13
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qCammel-13 is a fine-tuned version of Llama-2 13B model, trained on a distilled dataset of 15,000 instructions using QLoRA. This model is optimized for academic medical knowledge and instruction-following capabilities.
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## Model Details
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*Note: Use of this model is governed by the Meta license. In order to download the model weights and tokenizer, please visit the [website](https://ai.meta.com/resources/models-and-libraries/llama-downloads/) and accept their License before downloading this model .*
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The fine-tuning process applied to qCammel-13 involves a distilled dataset of 15,000 instructions and is trained with QLoRA,
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**Variations** The original Llama 2 has parameter sizes of 7B, 13B, and 70B. This is the fine-tuned version of the 13B model.
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**Input** Models input text only.
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**Output** Models generate text only.
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**Model Architecture** qCammel-13 is based on the Llama 2 architecture, an auto-regressive language model that uses a decoder only transformer architecture.
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**License** A custom commercial license is available at: [https://ai.meta.com/resources/models-and-libraries/llama-downloads/](https://ai.meta.com/resources/models-and-libraries/llama-downloads/)
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Llama 2 is licensed under the LLAMA 2 Community License, Copyright © Meta Platforms, Inc. All Rights Reserved
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**Research Papers**
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- [Clinical Camel: An Open-Source Expert-Level Medical Language Model with Dialogue-Based Knowledge Encoding](https://arxiv.org/abs/2305.12031)
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- [QLoRA: Efficient Finetuning of Quantized LLMs](https://arxiv.org/abs/2305.14314)
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- [LLaMA: Open and Efficient Foundation Language Models](https://arxiv.org/abs/2302.13971)
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