# tOllamaClient Available in... * Cloud Data Fabric * Data Fabric * Qlik Talend Cloud Enterprise Edition * Real-Time Big Data Platform Accesses the Langchain4j Ollama API. With this component, you can use Ollama models and their different capabilities. ## tOllamaClient Standard properties These properties are used to configure tOllamaClient running in the Standard Job framework. The Standard tOllamaClient component belongs to the AI family. Information noteNote: * This component is available only when you have installed the 8.0.1-R2025-02 Talend Studio monthly update or a later one delivered by Talend. For more information, check with your administrator. * As of now, the component only supports versions 3.x of Llama models. ## Prerequisites Before using this component, you need to: * Set up the Ollama environment following the [Ollama README instructions](https://github.com/ollama/ollama). * Install Llama version 3.x in the Ollama environment you set up using the ollama run llama3.x command (replace 3.x with the version of your choice). Refer to the [Ollama README instructions](https://github.com/ollama/ollama). ## Basic settings | Properties | Description | | --- | --- | | Property type | Either Built-in or
Repository
.

Built-in: No property data stored centrally.
Repository: Select the repository file in which the properties are stored. The fields that follow are completed automatically using the data retrieved.

| | Schema and Edit Schema | A schema is a row description, it defines the number of fields to be
processed and passed on to the next component. The schema is either
Built-in or stored remotely in the
Repository.

Built-in: You create and store the schema locally for this component only. For more information about a component schema in its Basic settings tab, see Basic settings tab.
Repository: You have already created the schema and stored it in the Repository. You can reuse it in various projects and Job designs. For more information about a component schema in its Basic settings tab, see Basic settings tab.

Click Edit
schema to make changes to the schema. If the current schema is of the Repository type, three options are available:

View schema: choose this option to view the schema only.
Change to built-in property: choose this option to change the schema to Built-in for local changes.
Update repository connection: choose this option to change the schema stored in the repository and decide whether to propagate the changes to all the Jobs upon completion.

If you just want to propagate the changes to the current Job, you can select No upon completion and choose this schema metadata again in the Repository Content window.

| | Input column | Select the column that must be handled by Ollama. Only one column can be
selected at a time.

This field is available only when the tOllamaClient is not used as an input
component and existing columns can be retrieved from the previous component in
the Job. | | Host | Enter the IP address or the hostname. | | Model | To select one of the available Llama models, click the
[...] button next to the field. In the dialog box
displayed, select the model that will be used or select the Use custom
value check box and specify the model name in the Custom
value field.

As of now, the component supports Llama 3.x
models. | | Prompt | Enter your instructions in this field. For more information on prompt
writing best practices, read [How to prompt Code Llama](https://ollama.com/blog/how-to-prompt-code-llama).

Example: List
the top 10 cities corresponding to the given countries, only include city
names in the answer. | ## Advanced settings | Properties | Description | | --- | --- | | tStatCatcher Statistics | Select this check box to gather the Job processing metadata at a Job level
and at each component level. | | Connection timeout (ms) | Set the timeout period (in milliseconds) for the component to establish a
connection to the server. An error occurs if an attempt to establish a
connection fails.

The default value is 60000, which is equivalent to 60
seconds. | ## Global Variables | Variables | Description | | --- | --- | | ERROR\_MESSAGE | ERROR\_MESSAGE: the error message generated by the component when an
error occurs. This is an After variable and it returns a string. | | NB\_LINE | NB\_LINE: the number
of rows read by an input component or transferred to an output component. This is an
After variable and it returns an integer. | ## Usage | Usage guidance | Description | | --- | --- | | Usage rules | This component cannot handle dynamic columns.

The component performance
depends on the following factors:

Good prompt writing, see How to prompt Code Llama.
LlaMa model size. For example, LLaMa 3.2 (3B) is faster than LLaMa 3.3 (70B).
Local machine CPU, memory, and GPU configuration.

If you switch the usage of this component from an input component
to a regular component, you need to adapt the schema and prompt instructions
accordingly as the Input column parameter is not
displayed for input components. | **Related tasks** * [Analyzing customer feedback with Llama text summarization model](https://help.qlik.com/talend/en-US/components/8.0/large-language-model/tollamaclient-tfileinputdelimited-tlogrow-analyzing-customer-feedback "This Job reads customer feedback messages from a CSV file, uses the tOllamaClient component to generate AI-powered summaries and sentiment analysis, and outputs the enriched results to a new file.")