| distilabel: | |
| version: 1.3.2 | |
| pipeline: | |
| name: synthetic-data-with-llama3.1 | |
| description: null | |
| steps: | |
| - step: | |
| name: load_data_from_hub_0 | |
| resources: | |
| replicas: 1 | |
| cpus: null | |
| gpus: null | |
| memory: null | |
| resources: null | |
| input_mappings: {} | |
| output_mappings: {} | |
| batch_size: 50 | |
| repo_id: Khushdholi/Cosmopedia_medium | |
| split: train | |
| config: null | |
| streaming: false | |
| num_examples: null | |
| storage_options: null | |
| runtime_parameters_info: | |
| - name: resources | |
| runtime_parameters_info: | |
| - name: replicas | |
| optional: true | |
| description: The number of replicas for the step. | |
| - name: cpus | |
| optional: true | |
| description: The number of CPUs assigned to each step replica. | |
| - name: gpus | |
| optional: true | |
| description: The number of GPUs assigned to each step replica. | |
| - name: memory | |
| optional: true | |
| description: The memory in bytes required for each step replica. | |
| - name: resources | |
| optional: true | |
| description: A dictionary containing names of custom resources and the number | |
| of those resources required for each step replica. | |
| - name: batch_size | |
| optional: true | |
| description: The number of rows that will contain the batches generated by | |
| the step. | |
| - name: repo_id | |
| optional: false | |
| description: The Hugging Face Hub repository ID of the dataset to load. | |
| - name: split | |
| optional: true | |
| description: The split of the dataset to load. Defaults to 'train'. | |
| - name: config | |
| optional: true | |
| description: The configuration of the dataset to load. This is optional and | |
| only needed if the dataset has multiple configurations. | |
| - name: streaming | |
| optional: true | |
| description: Whether to load the dataset in streaming mode or not. Defaults | |
| to False. | |
| - name: num_examples | |
| optional: true | |
| description: The number of examples to load from the dataset. By default will | |
| load all examples. | |
| type_info: | |
| module: distilabel.steps.generators.huggingface | |
| name: LoadDataFromHub | |
| name: load_data_from_hub_0 | |
| - step: | |
| name: text_generation_0 | |
| resources: | |
| replicas: 1 | |
| cpus: null | |
| gpus: null | |
| memory: null | |
| resources: null | |
| input_mappings: {} | |
| output_mappings: {} | |
| input_batch_size: 50 | |
| llm: | |
| use_magpie_template: false | |
| magpie_pre_query_template: null | |
| generation_kwargs: | |
| max_new_tokens: 1024 | |
| temperature: 0.7 | |
| model_id: null | |
| endpoint_name: null | |
| endpoint_namespace: null | |
| base_url: http://172.18.30.8:80 | |
| tokenizer_id: null | |
| model_display_name: llama8B | |
| structured_output: null | |
| type_info: | |
| module: distilabel.llms.huggingface.inference_endpoints | |
| name: InferenceEndpointsLLM | |
| group_generations: false | |
| add_raw_output: true | |
| num_generations: 1 | |
| use_system_prompt: true | |
| runtime_parameters_info: | |
| - name: resources | |
| runtime_parameters_info: | |
| - name: replicas | |
| optional: true | |
| description: The number of replicas for the step. | |
| - name: cpus | |
| optional: true | |
| description: The number of CPUs assigned to each step replica. | |
| - name: gpus | |
| optional: true | |
| description: The number of GPUs assigned to each step replica. | |
| - name: memory | |
| optional: true | |
| description: The memory in bytes required for each step replica. | |
| - name: resources | |
| optional: true | |
| description: A dictionary containing names of custom resources and the number | |
| of those resources required for each step replica. | |
| - name: input_batch_size | |
| optional: true | |
| description: The number of rows that will contain the batches processed by | |
| the step. | |
| - name: llm | |
| runtime_parameters_info: | |
| - name: generation_kwargs | |
| description: The kwargs to be propagated to either `generate` or `agenerate` | |
| methods within each `LLM`. | |
| keys: | |
| - name: max_new_tokens | |
| optional: true | |
| - name: frequency_penalty | |
| optional: true | |
| - name: logit_bias | |
| optional: true | |
| - name: presence_penalty | |
| optional: true | |
| - name: seed | |
| optional: true | |
| - name: stop_sequences | |
| optional: true | |
| - name: temperature | |
| optional: true | |
| - name: tool_choice | |
| optional: true | |
| - name: tool_prompt | |
| optional: true | |
| - name: tools | |
| optional: true | |
| - name: top_p | |
| optional: true | |
| - name: do_sample | |
| optional: true | |
| - name: repetition_penalty | |
| optional: true | |
| - name: return_full_text | |
| optional: true | |
| - name: top_k | |
| optional: true | |
| - name: typical_p | |
| optional: true | |
| - name: watermark | |
| optional: true | |
| - name: endpoint_name | |
| optional: true | |
| description: The name of the Inference Endpoint to use for the LLM. | |
| - name: endpoint_namespace | |
| optional: true | |
| description: The namespace of the Inference Endpoint to use for the LLM. | |
| - name: base_url | |
| optional: true | |
| description: The base URL to use for the Inference Endpoints API requests. | |
| - name: api_key | |
| optional: true | |
| description: The API key to authenticate the requests to the Inference Endpoints | |
| API. | |
| - name: structured_output | |
| optional: true | |
| description: The structured output format to use across all the generations. | |
| - name: add_raw_output | |
| optional: true | |
| description: Whether to include the raw output of the LLM in the key `raw_output_<TASK_NAME>` | |
| of the `distilabel_metadata` dictionary output column | |
| - name: num_generations | |
| optional: true | |
| description: The number of generations to be produced per input. | |
| type_info: | |
| module: distilabel.steps.tasks.text_generation | |
| name: TextGeneration | |
| name: text_generation_0 | |
| - step: | |
| name: text_generation_1 | |
| resources: | |
| replicas: 1 | |
| cpus: null | |
| gpus: null | |
| memory: null | |
| resources: null | |
| input_mappings: {} | |
| output_mappings: {} | |
| input_batch_size: 50 | |
| llm: | |
| use_magpie_template: false | |
| magpie_pre_query_template: null | |
| generation_kwargs: | |
| max_new_tokens: 1024 | |
| temperature: 0.7 | |
| model_id: null | |
| endpoint_name: null | |
| endpoint_namespace: null | |
| base_url: http://172.18.30.2:80 | |
| tokenizer_id: null | |
| model_display_name: llama405B | |
| structured_output: null | |
| type_info: | |
| module: distilabel.llms.huggingface.inference_endpoints | |
| name: InferenceEndpointsLLM | |
| group_generations: false | |
| add_raw_output: true | |
| num_generations: 1 | |
| use_system_prompt: true | |
| runtime_parameters_info: | |
| - name: resources | |
| runtime_parameters_info: | |
| - name: replicas | |
| optional: true | |
| description: The number of replicas for the step. | |
| - name: cpus | |
| optional: true | |
| description: The number of CPUs assigned to each step replica. | |
| - name: gpus | |
| optional: true | |
| description: The number of GPUs assigned to each step replica. | |
| - name: memory | |
| optional: true | |
| description: The memory in bytes required for each step replica. | |
| - name: resources | |
| optional: true | |
| description: A dictionary containing names of custom resources and the number | |
| of those resources required for each step replica. | |
| - name: input_batch_size | |
| optional: true | |
| description: The number of rows that will contain the batches processed by | |
| the step. | |
| - name: llm | |
| runtime_parameters_info: | |
| - name: generation_kwargs | |
| description: The kwargs to be propagated to either `generate` or `agenerate` | |
| methods within each `LLM`. | |
| keys: | |
| - name: max_new_tokens | |
| optional: true | |
| - name: frequency_penalty | |
| optional: true | |
| - name: logit_bias | |
| optional: true | |
| - name: presence_penalty | |
| optional: true | |
| - name: seed | |
| optional: true | |
| - name: stop_sequences | |
| optional: true | |
| - name: temperature | |
| optional: true | |
| - name: tool_choice | |
| optional: true | |
| - name: tool_prompt | |
| optional: true | |
| - name: tools | |
| optional: true | |
| - name: top_p | |
| optional: true | |
| - name: do_sample | |
| optional: true | |
| - name: repetition_penalty | |
| optional: true | |
| - name: return_full_text | |
| optional: true | |
| - name: top_k | |
| optional: true | |
| - name: typical_p | |
| optional: true | |
| - name: watermark | |
| optional: true | |
| - name: endpoint_name | |
| optional: true | |
| description: The name of the Inference Endpoint to use for the LLM. | |
| - name: endpoint_namespace | |
| optional: true | |
| description: The namespace of the Inference Endpoint to use for the LLM. | |
| - name: base_url | |
| optional: true | |
| description: The base URL to use for the Inference Endpoints API requests. | |
| - name: api_key | |
| optional: true | |
| description: The API key to authenticate the requests to the Inference Endpoints | |
| API. | |
| - name: structured_output | |
| optional: true | |
| description: The structured output format to use across all the generations. | |
| - name: add_raw_output | |
| optional: true | |
| description: Whether to include the raw output of the LLM in the key `raw_output_<TASK_NAME>` | |
| of the `distilabel_metadata` dictionary output column | |
| - name: num_generations | |
| optional: true | |
| description: The number of generations to be produced per input. | |
| type_info: | |
| module: distilabel.steps.tasks.text_generation | |
| name: TextGeneration | |
| name: text_generation_1 | |
| - step: | |
| name: group_columns_0 | |
| resources: | |
| replicas: 1 | |
| cpus: null | |
| gpus: null | |
| memory: null | |
| resources: null | |
| input_mappings: {} | |
| output_mappings: {} | |
| input_batch_size: 50 | |
| columns: | |
| '0': generation | |
| '1': model_name | |
| output_columns: | |
| '0': generations | |
| '1': model_names | |
| runtime_parameters_info: | |
| - name: resources | |
| runtime_parameters_info: | |
| - name: replicas | |
| optional: true | |
| description: The number of replicas for the step. | |
| - name: cpus | |
| optional: true | |
| description: The number of CPUs assigned to each step replica. | |
| - name: gpus | |
| optional: true | |
| description: The number of GPUs assigned to each step replica. | |
| - name: memory | |
| optional: true | |
| description: The memory in bytes required for each step replica. | |
| - name: resources | |
| optional: true | |
| description: A dictionary containing names of custom resources and the number | |
| of those resources required for each step replica. | |
| - name: input_batch_size | |
| optional: true | |
| description: The number of rows that will contain the batches processed by | |
| the step. | |
| type_info: | |
| module: distilabel.steps.columns.group | |
| name: GroupColumns | |
| name: group_columns_0 | |
| - step: | |
| name: ultra_feedback_0 | |
| resources: | |
| replicas: 1 | |
| cpus: null | |
| gpus: null | |
| memory: null | |
| resources: null | |
| input_mappings: {} | |
| output_mappings: {} | |
| input_batch_size: 50 | |
| llm: | |
| use_magpie_template: false | |
| magpie_pre_query_template: null | |
| generation_kwargs: | |
| max_new_tokens: 1024 | |
| temperature: 0.7 | |
| model_id: null | |
| endpoint_name: null | |
| endpoint_namespace: null | |
| base_url: http://172.18.30.2:80 | |
| tokenizer_id: null | |
| model_display_name: llama405B | |
| structured_output: null | |
| type_info: | |
| module: distilabel.llms.huggingface.inference_endpoints | |
| name: InferenceEndpointsLLM | |
| group_generations: false | |
| add_raw_output: true | |
| num_generations: 1 | |
| aspect: overall-rating | |
| runtime_parameters_info: | |
| - name: resources | |
| runtime_parameters_info: | |
| - name: replicas | |
| optional: true | |
| description: The number of replicas for the step. | |
| - name: cpus | |
| optional: true | |
| description: The number of CPUs assigned to each step replica. | |
| - name: gpus | |
| optional: true | |
| description: The number of GPUs assigned to each step replica. | |
| - name: memory | |
| optional: true | |
| description: The memory in bytes required for each step replica. | |
| - name: resources | |
| optional: true | |
| description: A dictionary containing names of custom resources and the number | |
| of those resources required for each step replica. | |
| - name: input_batch_size | |
| optional: true | |
| description: The number of rows that will contain the batches processed by | |
| the step. | |
| - name: llm | |
| runtime_parameters_info: | |
| - name: generation_kwargs | |
| description: The kwargs to be propagated to either `generate` or `agenerate` | |
| methods within each `LLM`. | |
| keys: | |
| - name: max_new_tokens | |
| optional: true | |
| - name: frequency_penalty | |
| optional: true | |
| - name: logit_bias | |
| optional: true | |
| - name: presence_penalty | |
| optional: true | |
| - name: seed | |
| optional: true | |
| - name: stop_sequences | |
| optional: true | |
| - name: temperature | |
| optional: true | |
| - name: tool_choice | |
| optional: true | |
| - name: tool_prompt | |
| optional: true | |
| - name: tools | |
| optional: true | |
| - name: top_p | |
| optional: true | |
| - name: do_sample | |
| optional: true | |
| - name: repetition_penalty | |
| optional: true | |
| - name: return_full_text | |
| optional: true | |
| - name: top_k | |
| optional: true | |
| - name: typical_p | |
| optional: true | |
| - name: watermark | |
| optional: true | |
| - name: endpoint_name | |
| optional: true | |
| description: The name of the Inference Endpoint to use for the LLM. | |
| - name: endpoint_namespace | |
| optional: true | |
| description: The namespace of the Inference Endpoint to use for the LLM. | |
| - name: base_url | |
| optional: true | |
| description: The base URL to use for the Inference Endpoints API requests. | |
| - name: api_key | |
| optional: true | |
| description: The API key to authenticate the requests to the Inference Endpoints | |
| API. | |
| - name: structured_output | |
| optional: true | |
| description: The structured output format to use across all the generations. | |
| - name: add_raw_output | |
| optional: true | |
| description: Whether to include the raw output of the LLM in the key `raw_output_<TASK_NAME>` | |
| of the `distilabel_metadata` dictionary output column | |
| - name: num_generations | |
| optional: true | |
| description: The number of generations to be produced per input. | |
| type_info: | |
| module: distilabel.steps.tasks.ultrafeedback | |
| name: UltraFeedback | |
| name: ultra_feedback_0 | |
| connections: | |
| - from: load_data_from_hub_0 | |
| to: | |
| - text_generation_0 | |
| - text_generation_1 | |
| - from: text_generation_0 | |
| to: | |
| - group_columns_0 | |
| - from: text_generation_1 | |
| to: | |
| - group_columns_0 | |
| - from: group_columns_0 | |
| to: | |
| - ultra_feedback_0 | |
| - from: ultra_feedback_0 | |
| to: [] | |
| routing_batch_functions: [] | |
| type_info: | |
| module: distilabel.pipeline.local | |
| name: Pipeline | |
| requirements: [] | |