Llama 2 Models
收藏资源简介:
**Overview** The Llama_2 models are large language models (LLMs) developed by Meta AI. The models provided in this listing are - [llama_2_7b_hf](https://huggingface.co/meta-llama/Llama-2-7b-hf) - [llama_2_13b_hf](https://huggingface.co/meta-llama/Llama-2-13b-hf) - [llama_2_7b_chat_hf](https://huggingface.co/meta-llama/Llama-2-7b-chat-hf) - [llama_2_13b_chat_hf](https://huggingface.co/meta-llama/Llama-2-13b-chat-hf) - [llama_2_70b_chat_hf](https://huggingface.co/meta-llama/Llama-2-70b-chat-hf) The models are packaged using MLflow’s transformers flavor. - [llama_2_7b_chat_hf](https://huggingface.co/meta-llama/Llama-2-7b-chat-hf), [llama_2_13b_chat_hf](https://huggingface.co/meta-llama/Llama-2-13b-chat-hf), [llama_2_70b_chat_hf](https://huggingface.co/meta-llama/Llama-2-70b-chat-hf): fine-tuned for dialogue-based use cases. - [llama_2_7b_hf](https://huggingface.co/meta-llama/Llama-2-7b-hf), [llama_2_13b_hf](https://huggingface.co/meta-llama/Llama-2-13b-hf): pretrained generative text model that can be used for further fine-tuning on specific applications. Llama_2 models are licensed under the [LLAMA 2 Community License, Copyright © Meta Platforms, Inc. All Rights Reserved](https://ai.meta.com/resources/models-and-libraries/llama-downloads/). By installing this listing, you acknowledge and agree to the license. For example notebooks of using the llama_2 model in various use cases on Databricks, refer to [the Databricks ML example repository](https://github.com/databricks/databricks-ml-examples/tree/master/llm-models/llamav2). **Use cases** [llama_2_7b_chat_hf](https://huggingface.co/meta-llama/Llama-2-7b-chat-hf), [llama_2_13b_chat_hf](https://huggingface.co/meta-llama/Llama-2-13b-chat-hf), [llama_2_70b_chat_hf](https://huggingface.co/meta-llama/Llama-2-70b-chat-hf): - Generating responses to text-based instructions - Chatbots and conversational AI systems [llama_2_7b_hf](https://huggingface.co/meta-llama/Llama-2-7b-hf), [llama_2_13b_hf](https://huggingface.co/meta-llama/Llama-2-13b-hf): - Fine-tuning on specific applications. **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.




