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README.md
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# alpaca-lora-7b
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This LoRA trained for 3 epochs and has been converted to int4 via GPTQ method. See the repo below for more info.
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Risks and harms of large language models include the generation of harmful, offensive or biased content. These models are often prone to generating incorrect information, sometimes referred to as hallucinations. We do not expect our model to be an exception in this regard.
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**Use cases**
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LLaMA is a foundational model, and as such, it should not be used for downstream applications without further investigation and mitigations of risks. These risks and potential fraught use cases include, but are not limited to: generation of misinformation and generation of harmful, biased or offensive content.
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---
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license: other
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---
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# alpaca-lora-7b
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This LoRA trained for 3 epochs and has been converted to int4 via GPTQ method. See the repo below for more info.
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Risks and harms of large language models include the generation of harmful, offensive or biased content. These models are often prone to generating incorrect information, sometimes referred to as hallucinations. We do not expect our model to be an exception in this regard.
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**Use cases**
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LLaMA is a foundational model, and as such, it should not be used for downstream applications without further investigation and mitigations of risks. These risks and potential fraught use cases include, but are not limited to: generation of misinformation and generation of harmful, biased or offensive content.
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