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Llama 2 7b Chat Hf Q4f16_1

Introducing Llama 2: A New Generation of Language Models

Optimized for Dialogue and Conversational AI

Introducing Llama 2 Family of Models

Google AI has released the Llama 2 family of language models, a new generation of generative text models designed for various natural language processing (NLP) tasks, including dialogue and conversational AI.

The Llama 2 family encompasses a range of models, from small to large, with pretraining data token counts ranging from 7 billion to 140 billion. All models are trained with a global batch-size of 64.

Fine-tuned for Dialogue Use Cases

In addition to the pretrained models, Google AI has also released fine-tuned LLMs called Llama-2-Chat, which are specifically optimized for dialogue use cases. These models have been trained on a large dataset of dialogue data and are designed to generate human-like responses in various conversational scenarios.

Using Llama 2 in Your Applications

To use Llama 2 models in your applications, you can utilize the Hugging Face Transformers library. The following code snippet demonstrates how to import the library and instantiate a ChatModule instance for the "Llama-2-7b-chat-hf-q4f16_1-MLC" model:

```python import transformers # Import the ChatModule from Hugging Face Transformers from transformers import ChatModule # Instantiate a ChatModule instance for the "Llama-2-7b-chat-hf-q4f16_1-MLC" model chat_module = ChatModule.from_pretrained("Llama-2-7b-chat-hf-q4f16_1-MLC") ```

You can then use the ChatModule instance to generate text and engage in conversations with the Llama 2 model.


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