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Meta Llama 3 Models

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Databricks2024-05-09 收录
下载链接:
https://marketplace.databricks.com/details/f6b5930b-1829-4f7e-a01b-c43a03704595/Databricks_Meta-Llama-3-Models
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**Overview** The Llama_3 models are large language models (LLMs) developed by Meta AI. The models provided in this listing are - [meta_llama_3_70b](https://huggingface.co/meta-llama/Meta-Llama-3-70B) - [meta_llama_3_8b](https://huggingface.co/meta-llama/Meta-Llama-3-8B) - [meta_llama_3_70b_instruct](https://huggingface.co/meta-llama/Meta-Llama-3-70B-Instruct) - [meta_llama_3_8b_instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) The models are packaged using MLflow’s transformers flavor. - [meta_llama_3_70b](https://huggingface.co/meta-llama/Meta-Llama-3-70B), [meta_llama_3_8b](https://huggingface.co/meta-llama/Meta-Llama-3-8B): pretrained generative text model that can be used for further fine-tuning on specific applications. - [meta_llama_3_70b_instruct](https://huggingface.co/meta-llama/Meta-Llama-3-70B-Instruct), [meta_llama_3_8b_instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct): fine-tuned for dialogue-based use cases. Llama_3 models are licensed under the [Meta Llama 3 Community License, Copyright © Meta Platforms, Inc. All Rights Reserved](https://llama.meta.com/llama3/license/). By installing this listing, you acknowledge and agree to the license. **Use cases** [meta_llama_3_70b](https://huggingface.co/meta-llama/Meta-Llama-3-70B), [meta_llama_3_8b](https://huggingface.co/meta-llama/Meta-Llama-3-8B): - Fine-tuning on specific applications. [meta_llama_3_70b_instruct](https://huggingface.co/meta-llama/Meta-Llama-3-70B-Instruct), [meta_llama_3_8b_instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct): - Generating responses to text-based instructions - Chatbots and conversational AI systems **Product details** The pre-trained model can be used for further fine-tuning on specific applications. The fine-tuned model in this listing can be deployed directly to Databricks Model Serving for immediate use, or loaded for fine-tuning or batch inference use cases. For more details, install the listing and view the provided model cards for each model.
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