---
title: PaLM
| Developer Documentation
---
In this short notebook, we show how to use the PaLM LLM from Google in LlamaIndex: .
We use the `text-bison-001` model by default.
### Setup
If you’re opening this Notebook on colab, you will probably need to install LlamaIndex 🦙.
```
%pip install llama-index-llms-palm
```
```
!pip install llama-index
```
```
!pip install -q google-generativeai
```
```
[1m[[0m[34;49mnotice[0m[1;39;49m][0m[39;49m A new release of pip available: [0m[31;49m22.3.1[0m[39;49m -> [0m[32;49m23.1.2[0m
[1m[[0m[34;49mnotice[0m[1;39;49m][0m[39;49m To update, run: [0m[32;49mpip install --upgrade pip[0m
```
```
import pprint
import google.generativeai as palm
```
```
palm_api_key = ""
```
```
palm.configure(api_key=palm_api_key)
```
### Define Model
```
models = [
m
for m in palm.list_models()
if "generateText" in m.supported_generation_methods
]
model = models[0].name
print(model)
```
```
models/text-bison-001
```
### Start using our `PaLM` LLM abstraction!
```
from llama_index.llms.palm import PaLM
model = PaLM(api_key=palm_api_key)
```
```
model.complete(prompt)
```
```
CompletionResponse(text='1 house has 3 cats * 4 mittens / cat = 12 mittens.\n3 houses have 12 mittens / house * 3 houses = 36 mittens.\n1 hat needs 4m of yarn. 36 hats need 4m / hat * 36 hats = 144m of yarn.\n1 mitten needs 7m of yarn. 36 mittens need 7m / mitten * 36 mittens = 252m of yarn.\nIn total 144m of yarn was needed for hats and 252m of yarn was needed for mittens, so 144m + 252m = 396m of yarn was needed.\n\nThe answer: 396', additional_kwargs={}, raw={'output': '1 house has 3 cats * 4 mittens / cat = 12 mittens.\n3 houses have 12 mittens / house * 3 houses = 36 mittens.\n1 hat needs 4m of yarn. 36 hats need 4m / hat * 36 hats = 144m of yarn.\n1 mitten needs 7m of yarn. 36 mittens need 7m / mitten * 36 mittens = 252m of yarn.\nIn total 144m of yarn was needed for hats and 252m of yarn was needed for mittens, so 144m + 252m = 396m of yarn was needed.\n\nThe answer: 396', 'safety_ratings': [{'category': , 'probability': }, {'category': , 'probability': }, {'category': , 'probability': }, {'category': , 'probability': }, {'category': , 'probability': }, {'category': , 'probability': }]}, delta=None)
```