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how to use llama2 model with llama-index

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The community members are discussing how to use the Llama2 model with the LlamaIndex library. The key steps include:

1. Install the necessary packages: llama-index and ipywidgets.

2. Sign in to the Hugging Face hub with an account that has access to the Llama2 models.

3. Set up logging to monitor the progress of tasks.

4. Import the necessary modules from llama_index and set the Llama2 model to use, such as LLAMA2_13B_CHAT.

The community members note that a decent GPU, ideally an A100 with at least 40GB of memory, is required to run this setup. They also suggest referring to the LlamaIndex documentation for more details.

@kapa.ai
how to use llama2 model with llama-index
k
3 comments
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To use the Llama2 model with LlamaIndex, you need to follow these steps:

  1. Install the necessary packages: You need to install the llama-index and ipywidgets packages. You can do this using pip:
Plain Text
!pip install llama-index ipywidgets


  1. Sign in to HF hub: You need to sign in to the Hugging Face hub with an account that has access to the Llama2 models. You can do this using the huggingface-cli login command in your console. For more details, please see: Llama Downloads ().
  1. Set up logging: You can set up logging to monitor the progress of your tasks. Here is an example of how to do it:
Plain Text
import logging
import sys

logging.basicConfig(stream=sys.stdout, level=logging.INFO)
logging.getLogger().addHandler(logging.StreamHandler(stream=sys.stdout))


  1. Import necessary modules and set the model: You need to import the necessary modules from llama_index and set the model you want to use. Here is an example of how to do it:
Plain Text
import torch
from llama_index.llms import HuggingFaceLLM
from llama_index.prompts import PromptTemplate

# Model names (make sure you have access on HF)
LLAMA2_7B = "meta-llama/Llama-2-7b-hf"
LLAMA2_7B_CHAT = "meta-llama/Llama-2-7b-chat-hf"
LLAMA2_13B = "meta-llama/Llama-2-13b-hf"
LLAMA2_13B_CHAT = "meta-llama/Llama-2-13b-chat-hf"
LLAMA2_70B = "meta-llama/Llama-2-70b-hf"
LLAMA2_70B_CHAT = "meta-llama/Llama-2-70b-chat-hf"

selected_model = LLAMA2_13B_CHAT


Please note that you need a decent GPU to run this notebook, ideally an A100 with at least 40GB of memory.
For more details, please refer to the LlamaIndex documentation ().
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