| 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_FAQ_small |
| 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: [] |
|
|
