> ## Documentation Index > Fetch the complete documentation index at: https://docs.oxen.ai/llms.txt > Use this file to discover all available pages before exploring further. # Stop a running fine-tune job > Stop a fine-tune if it is currently running or queued. ## OpenAPI ````yaml https://dev.hub.oxen.ai/api/_spec/oxen_hub_api.json post /api/repos/{namespace}/{repo_name}/fine_tunes/{id}/actions/stop openapi: 3.0.0 info: title: oxen version: 0.224.2 servers: - url: https://dev.hub.oxen.ai variables: {} security: [] tags: [] paths: /api/repos/{namespace}/{repo_name}/fine_tunes/{id}/actions/stop: post: tags: - fine_tunes summary: Stop a running fine-tune job description: Stop a fine-tune if it is currently running or queued. operationId: OxenApiWeb.Controllers.FineTuneController.stop parameters: - description: Fine-tune ID example: ft_123 in: path name: id required: true schema: type: string responses: '200': content: application/json: schema: $ref: '#/components/schemas/FineTuneStopResponse' description: Stop fine-tune response '404': content: application/json: schema: type: object description: Fine-tune not found callbacks: {} security: - authorization: [] components: schemas: FineTuneStopResponse: description: Standard wrapper for fine-tune /stop responses. properties: fine_tune: anyOf: - $ref: '#/components/schemas/FineTuneRun' description: Fine-tune job resource as returned by /stop status: description: High-level status string (for example, 'success'). type: string status_message: description: Human-readable status message (for example, 'resource_found'). type: string title: FineTuneStopResponse type: object FineTuneRun: additionalProperties: true description: Fine-tune job payload as returned by the /run API. properties: base_model: description: Canonical name of the base model, e.g. 'Qwen/Qwen3-0.6B' type: string created_by: description: User who created the fine-tune job properties: id: description: User ID type: string image: description: Avatar image URL nullable: true type: string name: description: Display name nullable: true type: string username: description: Username type: string type: object credits_used: description: Credits used so far for this fine-tune type: string deployed_model: additionalProperties: true description: Deployment information for the resulting model, if deployed nullable: true type: object description: description: Optional description of the fine-tune nullable: true type: string display_name: description: Optional display name for the fine-tune nullable: true type: string error: description: Error message if the fine-tune failed nullable: true type: string fine_tune_script: description: Fine-tune script configuration used for this run properties: description: description: Description of what the script does type: string display_name: description: Human-friendly name for the script type: string docker_image_name: description: Docker image used to run the script type: string fine_tune_schema: additionalProperties: true description: Fine-tune configuration schema used by the script properties: description: description: Schema description type: string id: description: Fine-tune schema ID type: string name: description: Schema name type: string schema: additionalProperties: true description: JSON schema describing training params UI properties: additionalProperties: type: boolean basic: items: type: string type: array properties: additionalProperties: true description: Per-parameter schema; structure is flexible type: object required: items: type: string type: array type: type: string type: object type: object id: description: Fine-tune script ID type: string name: description: Fine-tune script name type: string script_type: description: Type of script (for example, 'text_generation') type: string type: object finished_at: description: Time when training finished format: date_time nullable: true type: string gpu_count: description: Number of GPUs requested for the job type: integer gpu_model: description: GPU model requested for the job (for example, 'A10G') type: string id: description: Fine-tune ID type: string inserted_at: description: Creation timestamp format: date_time type: string last_credit_check: description: Last time credits were checked for this job format: date_time nullable: true type: string name: description: Fine-tune name type: string output_resource: additionalProperties: true description: Optional output resource produced by this fine-tune nullable: true type: object queue_position: description: Queue position if the job is queued nullable: true type: integer rate_per_second: description: Billing rate per second for this fine-tune type: string repository_id: description: ID of the repository this fine-tune belongs to type: string resource: description: Training data resource used for this fine-tune properties: path: description: Path to the resource inside the repository type: string version: description: Commit or version identifier type: string type: object source_model: additionalProperties: true description: Base model that is being fine-tuned type: object started_at: description: Time when training actually started format: date_time nullable: true type: string status: description: Current status of the fine-tune type: string total_token_count: default: 0 description: Total number of tokens processed type: integer training_params: description: Training parameters used for this fine-tune run properties: answer_column: description: Column containing assistant responses type: string batch_size: description: Per-device batch size used during training type: integer enable_thinking: description: Whether to enable thinking tokens during training type: boolean epochs: description: Number of epochs to train for type: integer grad_accum: description: Gradient accumulation steps type: integer learning_rate: description: Base learning rate for the optimizer format: float type: number logging_steps: description: Interval (in steps) at which logs are written type: integer lora_alpha: description: LoRA alpha scaling factor type: integer lora_rank: description: LoRA rank for low-rank adapters type: integer neftune_noise_alpha: description: NEFTune noise alpha format: float type: number question_column: description: Column containing user prompts type: string save_steps_ratio: description: Ratio of steps at which to save checkpoints format: float type: number save_strategy: description: Save strategy, e.g. 'epoch' type: string seq_length: description: Sequence length used during training type: integer use_lora: description: Whether LoRA is enabled for this run type: boolean type: object updated_at: description: Last update timestamp format: date_time type: string use_lora: description: Whether LoRA fine-tuning is enabled type: boolean title: FineTuneRun type: object securitySchemes: authorization: scheme: bearer type: http ````