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

# Overview

> Understand the Osmosis web dashboard for managing training runs, datasets, models, and more

[Osmosis Platform](https://platform.osmosis.ai) is the web dashboard for managing reinforcement learning training of LLMs. It handles workspace setup, GitHub repository connection, GPU provisioning, training orchestration, metrics collection, and checkpoint deployment so you can focus on defining agent behavior and evaluation logic.

## Core Capabilities

<CardGroup cols={3}>
  <Card title="Workspaces" icon="folder-open">
    Organize your team, datasets, training runs, models, and workspace repository access with role-based permissions.
  </Card>

  <Card title="Training Runs" icon="play" href="/platform/training-runs">
    Submit, monitor, and manage RL training runs with configurable hyperparameters and checkpoint cadence.
  </Card>

  <Card title="Datasets" icon="database" href="/platform/datasets">
    Upload and validate JSONL, CSV, or Parquet datasets up to 5 GB for training.
  </Card>

  <Card title="Models" icon="cube" href="/platform/models">
    List supported base models and deploy trained LoRA models for inference.
  </Card>

  <Card title="Monitoring" icon="chart-line" href="/platform/monitoring">
    Track training run status, metrics, checkpoints, and outputs.
  </Card>

  <Card title="Git Integration" icon="code-branch" href="/cli/workspace/git-sync">
    Create or connect a workspace repository to sync rollouts and configs automatically.
  </Card>
</CardGroup>

## How It Works

The typical workflow from setup to deployed LoRA model follows five stages:

<Steps>
  <Step title="Complete onboarding">
    Start with [Onboarding](/platform/onboarding) to create or join a platform workspace, connect GitHub, clone the workspace repository, install the CLI, and verify local workspace context.
  </Step>

  <Step title="Choose a first workflow">
    Run the included [Multiply example](/platform/quickstart) for a known-good first training run, or use [Create Your Own Rollout](/platform/create-your-own-rollout) when you already have a task or dataset.
  </Step>

  <Step title="Push and submit an evaluation run">
    Push rollout changes to GitHub. Git Sync publishes the code version, then `osmosis eval submit` starts an evaluation run against a platform dataset to catch dataset, dependency, workflow, and grader issues before a training run.
  </Step>

  <Step title="Submit a training run">
    Once evaluation run results look healthy, `osmosis train submit` starts the training run.
  </Step>

  <Step title="Monitor and deploy">
    Track metrics, checkpoints, and outputs in the dashboard. When a run finishes, deploy a LoRA model.
  </Step>
</Steps>

## Ready to Get Started?

<CardGroup cols={2}>
  <Card title="Onboarding" icon="route" href="/platform/onboarding">
    Follow the full workspace setup flow for creators and invited members.
  </Card>

  <Card title="Quickstart" icon="rocket" href="/platform/quickstart">
    After onboarding, run the included example from evaluation run to training run.
  </Card>
</CardGroup>