> ## Documentation Index
> Fetch the complete documentation index at: https://docs.portkey.ai/docs/llms.txt
> Use this file to discover all available pages before exploring further.

# Fine-tune

> Fine-tune your models with Bedrock

### Upload a file

Please follow to the fireworks file upload [guide](https://docs.portkey.ai/docs/aigw/integrations/llms/fireworks/files.md) for more details.

### Create a fine-tuning job

> [tab] REST API
>
> ```sh theme={"system"}
> curl \
> --header 'Content-Type: application/json' \
> --header 'Authorization: Bearer <api_key>' \
> --header 'x-portkey-fireworks-account-id: <fireworks_account_id>' \
> --data '{
>   "model": "@provider/<model_id>",
>   "suffix": "<finetune_model_name>",
>   "training_file": "<s3_path.jsonl>",
>   "hyperparameters": {
>     "n_epochs": 1
>   }
> }' \
> 'https://aigw.portkey.ai/v1/fine_tuning/jobs'
> ```

> [tab] OpenAI Python
>
> ```python theme={"system"}
> from openai import OpenAI
>
> openai = OpenAI(
>     api_key="PORTKEY_API_KEY",
>     base_url="https://aigw.portkey.ai/v1",
>     default_headers={"x-portkey-fireworks-account-id": "FIREWORKS_ACCOUNT_ID"}
> )
>
> fine_tune_job = openai.fine_tuning.jobs.create(
>     training_file="file_id",
>     model="@PROVIDER/model_id",
>     hyperparameters={
>       "n_epochs": 1
>     },
>     validation_file="file_id",
>     suffix="finetuned_model_name",
>   )
>
> print(fine_tune_job)
> ```

> [tab] OpenAI NodeJS
>
> ```typescript theme={"system"}
> import OpenAI from 'openai'; // We're using the v4 SDK
>
> const openai = new OpenAI({
>   apiKey: "PORTKEY_API_KEY", // defaults to process.env["OPENAI_API_KEY"],
>   baseURL: "https://aigw.portkey.ai/v1",
>   defaultHeaders: {
>       // defaults to process.env["PORTKEY_API_KEY"]
>       "x-portkey-fireworks-account-id": "FIREWORKS_ACCOUNT_ID",
>   }
> });
>
> (async () => {
>     const fine_tune_job = await openai.fineTuning.jobs.create({
>       training_file: "file_id",
>       model: "@PROVIDER/model_id",
>       hyperparameters: {
>         "n_epochs": 1
>       },
>       validation_file: "file_id",
>       suffix: "finetuned_model_name",
>     });
>
>   console.log(fine_tune_job)
> })();
> ```

## List Fine-tuning Jobs

> [tab] REST API
>
> ```sh theme={"system"}
> curl \
> --header 'Content-Type: application/json' \
> --header 'Authorization: Bearer <api_key>' \
> --header 'x-portkey-provider: @provider' \
> --header 'x-portkey-fireworks-account-id: <fireworks_account_id>' \
> 'https://aigw.portkey.ai/v1/fine_tuning/jobs?limit=10'
> ```

> [tab] OpenAI Python
>
> ```python theme={"system"}
> from openai import OpenAI
>
> openai = OpenAI(
>     api_key="PORTKEY_API_KEY",
>     base_url="https://aigw.portkey.ai/v1",
>     default_headers={"x-portkey-provider": "@PROVIDER", "x-portkey-fireworks-account-id": "FIREWORKS_ACCOUNT_ID"}
> )
>
> # List all fine-tuning jobs
> jobs = openai.fine_tuning.jobs.list(
>     limit=10  # Optional: Number of jobs to retrieve (default: 20)
> )
>
> print(jobs)
> ```

> [tab] OpenAI NodeJS
>
> ```typescript theme={"system"}
> import OpenAI from 'openai';
>
> const openai = new OpenAI({
>     apiKey: "PORTKEY_API_KEY",
>     baseURL: "https://aigw.portkey.ai/v1",
>     defaultHeaders: { "x-portkey-provider": "@PROVIDER", "x-portkey-fireworks-account-id": "FIREWORKS_ACCOUNT_ID" }
> });
>
> (async () => {
>     // List all fine-tuning jobs
>     const jobs = await openai.fineTuning.jobs.list({
>         limit: 10  // Optional: Number of jobs to retrieve (default: 20)
>     });
>
>     console.log(jobs);
> })();
> ```

## Retrieve Fine-tuning Job

> [tab] REST API
>
> ```sh theme={"system"}
> curl \
> --header 'Content-Type: application/json' \
> --header 'Authorization: Bearer <api_key>' \
> --header 'x-portkey-provider: @provider' \
> --header 'x-portkey-fireworks-account-id: <fireworks_account_id>' \
> 'https://aigw.portkey.ai/v1/fine_tuning/jobs/<job_id>'
> ```

> [tab] OpenAI Python
>
> ```python theme={"system"}
> from openai import OpenAI
>
> openai = OpenAI(
>     api_key="PORTKEY_API_KEY",
>     base_url="https://aigw.portkey.ai/v1",
>     default_headers={"x-portkey-provider": "@PROVIDER", "x-portkey-fireworks-account-id": "FIREWORKS_ACCOUNT_ID"}
> )
>
> # Retrieve a specific fine-tuning job
> job = openai.fine_tuning.jobs.retrieve(
>     fine_tuning_job_id="job_id"  # The ID of the fine-tuning job to retrieve
> )
>
> print(job)
> ```

> [tab] OpenAI NodeJS
>
> ```typescript theme={"system"}
> import OpenAI from 'openai';
>
> const openai = new OpenAI({
>     apiKey: "PORTKEY_API_KEY",
>     baseURL: "https://aigw.portkey.ai/v1",
>     defaultHeaders: { "x-portkey-provider": "@PROVIDER", "x-portkey-fireworks-account-id": "FIREWORKS_ACCOUNT_ID" }
> });
>
> (async () => {
>     // Retrieve a specific fine-tuning job
>     const job = await openai.fineTuning.jobs.retrieve(
>         "job_id"  // The ID of the fine-tuning job to retrieve
>     );
>
>     console.log(job);
> })();
> ```

## Cancel Fine-tuning Job

> [tab] REST API
>
> ```sh theme={"system"}
> curl \
> --request POST \
> --header 'Content-Type: application/json' \
> --header 'Authorization: Bearer <api_key>' \
> --header 'x-portkey-provider: @provider' \
> --header 'x-portkey-fireworks-account-id: <fireworks_account_id>' \
> 'https://aigw.portkey.ai/v1/fine_tuning/jobs/<job_id>/cancel'
> ```

> [tab] OpenAI Python
>
> ```python theme={"system"}
> from openai import OpenAI
>
> openai = OpenAI(
>     api_key="PORTKEY_API_KEY",
>     base_url="https://aigw.portkey.ai/v1",
>     default_headers={"x-portkey-provider": "@PROVIDER", "x-portkey-fireworks-account-id": "FIREWORKS_ACCOUNT_ID"}
> )
>
> # Cancel a fine-tuning job
> cancelled_job = openai.fine_tuning.jobs.cancel(
>     fine_tuning_job_id="job_id"  # The ID of the fine-tuning job to cancel
> )
>
> print(cancelled_job)
> ```

> [tab] OpenAI NodeJS
>
> ```typescript theme={"system"}
> import OpenAI from 'openai';
>
> const openai = new OpenAI({
>     apiKey: "PORTKEY_API_KEY",
>     baseURL: "https://aigw.portkey.ai/v1",
>     defaultHeaders: { "x-portkey-provider": "@PROVIDER", "x-portkey-fireworks-account-id": "FIREWORKS_ACCOUNT_ID" }
> });
>
> (async () => {
>     // Cancel a fine-tuning job
>     const cancelledJob = await openai.fineTuning.jobs.cancel(
>         "job_id"  // The ID of the fine-tuning job to cancel
>     );
>
>     console.log(cancelledJob);
> })();
> ```

## References

* [Fireworks Fine-tuning](https://docs.fireworks.ai/fine-tuning/fine-tuning-models)
* [Fireworks Fine-tuning API](https://docs.fireworks.ai/api-reference/list-supervised-fine-tuning-jobs)


## Related topics

- [Fine-tune](https://docs.portkey.ai/docs/aigw/integrations/llms/bedrock/fine-tuning.md)
- [Data Service](https://docs.portkey.ai/docs/changelog/data-service.md)


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