|
distilabel: |
|
version: 1.4.1 |
|
pipeline: |
|
name: pipeline-translate-demo |
|
description: Pipeline translate demo |
|
steps: |
|
- step: |
|
name: load_dataset |
|
resources: |
|
replicas: 1 |
|
cpus: null |
|
gpus: null |
|
memory: null |
|
resources: null |
|
input_mappings: {} |
|
output_mappings: {} |
|
use_cache: true |
|
batch_size: 50 |
|
repo_id: mteb/emotion |
|
split: train |
|
config: null |
|
revision: 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: revision |
|
optional: true |
|
description: The revision of the dataset to load. Defaults to the latest revision. |
|
- 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_dataset |
|
- step: |
|
name: translate_en2vi_demo |
|
resources: |
|
replicas: 1 |
|
cpus: null |
|
gpus: 2 |
|
memory: null |
|
resources: null |
|
input_mappings: {} |
|
output_mappings: {} |
|
use_cache: true |
|
input_batch_size: 50 |
|
llm: |
|
cuda_devices: auto |
|
disable_cuda_device_placement: false |
|
use_magpie_template: false |
|
magpie_pre_query_template: null |
|
generation_kwargs: |
|
temperature: 0.0 |
|
top_p: 1.0 |
|
max_new_tokens: 4096 |
|
use_offline_batch_generation: false |
|
offline_batch_generation_block_until_done: null |
|
jobs_ids: null |
|
model: CohereForAI/aya-23-35B |
|
dtype: bfloat16 |
|
trust_remote_code: false |
|
quantization: null |
|
revision: null |
|
tokenizer: CohereForAI/aya-23-35B |
|
tokenizer_mode: auto |
|
tokenizer_revision: null |
|
skip_tokenizer_init: false |
|
chat_template: null |
|
seed: 0 |
|
extra_kwargs: |
|
tensor_parallel_size: 2 |
|
distributed_executor_backend: ray |
|
gpu_memory_utilization: 0.9 |
|
max_model_len: 4096 |
|
structured_output: null |
|
type_info: |
|
module: distilabel.llms.vllm |
|
name: vLLM |
|
group_generations: false |
|
add_raw_output: true |
|
add_raw_input: true |
|
num_generations: 1 |
|
use_default_structured_output: false |
|
system_prompt: You are a professional translator with a deep understanding of |
|
both the English and Vietnamese languages. You possess a high level of proficiency |
|
in translating between these languages, ensuring that the translation retains |
|
both the meaning and cultural nuances of the original text. With a thorough |
|
knowledge of grammar, syntax, and colloquialisms in both languages, you can |
|
accurately and naturally translate the following from English to Vietnamese |
|
while maintaining its intended tone and context. Your work is known for its |
|
precision and attention to detail, making your translations clear and effective |
|
for a wide audience. |
|
use_system_prompt: false |
|
template: 'Translate the following from English to Vietnamese: |
|
|
|
|
|
{{text}} |
|
|
|
|
|
TRANSLATED VERSION IN VIETNAMESE IS: |
|
|
|
' |
|
columns: |
|
- text |
|
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: cuda_devices |
|
optional: true |
|
description: A list with the ID of the CUDA devices to be used. |
|
- name: disable_cuda_device_placement |
|
optional: true |
|
description: Whether to disable the CUDA device placement logic or not. |
|
- 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 |
|
description: the maximum number of new tokens that the model will generate. Defaults |
|
to `128`. |
|
- name: presence_penalty |
|
optional: true |
|
description: the presence penalty to use for the generation. Defaults |
|
to `0.0`. |
|
- name: frequency_penalty |
|
optional: true |
|
description: the repetition penalty to use for the generation. Defaults to |
|
`0.0`. |
|
- name: repetition_penalty |
|
optional: true |
|
description: the repetition penalty to use for the generation Defaults |
|
to `1.0`. |
|
- name: temperature |
|
optional: true |
|
description: the temperature to use for the generation. Defaults to `0.1`. |
|
- name: top_p |
|
optional: true |
|
description: the top-p value to use for the generation. Defaults to `1.0`. |
|
- name: top_k |
|
optional: true |
|
description: the top-k value to use for the generation. Defaults to `0`. |
|
- name: min_p |
|
optional: true |
|
description: the minimum probability to use for the generation. Defaults |
|
to `0.0`. |
|
- name: stop |
|
optional: true |
|
description: a list of strings that will be used to stop the generation |
|
when found. Defaults to `None`. |
|
- name: stop_token_ids |
|
optional: true |
|
description: a list of token ids that will be used to stop the generation when |
|
found. Defaults to `None`. |
|
- name: include_stop_str_in_output |
|
optional: true |
|
description: whether to include the stop string in the output. Defaults |
|
to `False`. |
|
- name: logits_processors |
|
optional: true |
|
description: a list of functions to process the logits before sampling. Defaults |
|
to `None`. |
|
- name: extra_sampling_params |
|
optional: true |
|
description: dictionary with additional arguments to be passed to the |
|
`SamplingParams` class from `vllm`. |
|
- name: use_offline_batch_generation |
|
optional: true |
|
description: Whether to use the `offline_batch_generate` method to generate |
|
the responses. |
|
- name: offline_batch_generation_block_until_done |
|
optional: true |
|
description: If provided, then polling will be done until the `ofline_batch_generate` |
|
method is able to retrieve the results. The value indicate the time to |
|
wait between each polling. |
|
- name: extra_kwargs |
|
optional: true |
|
description: 'Additional dictionary of keyword arguments that will be passed |
|
to the `vLLM` class of `vllm` library. See all the supported arguments |
|
at: https://github.com/vllm-project/vllm/blob/main/vllm/entrypoints/llm.py' |
|
- 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: add_raw_input |
|
optional: true |
|
description: Whether to include the raw input of the LLM in the key `raw_input_<TASK_NAME>` |
|
of the `distilabel_metadata` dictionary column |
|
- name: num_generations |
|
optional: true |
|
description: The number of generations to be produced per input. |
|
type_info: |
|
module: __main__ |
|
name: TranslateText |
|
name: translate_en2vi_demo |
|
- step: |
|
name: rename_columns |
|
resources: |
|
replicas: 1 |
|
cpus: null |
|
gpus: null |
|
memory: null |
|
resources: null |
|
input_mappings: {} |
|
output_mappings: {} |
|
use_cache: true |
|
input_batch_size: 50 |
|
columns_map: |
|
text: og_text |
|
label: label |
|
label_text: label_text |
|
vietnamese_version: text |
|
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: __main__ |
|
name: RenameColumns |
|
name: rename_columns |
|
- step: |
|
name: keep_columns |
|
resources: |
|
replicas: 1 |
|
cpus: null |
|
gpus: null |
|
memory: null |
|
resources: null |
|
input_mappings: {} |
|
output_mappings: {} |
|
use_cache: true |
|
input_batch_size: 50 |
|
columns: |
|
- text |
|
- label |
|
- label_text |
|
- og_text |
|
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.keep |
|
name: KeepColumns |
|
name: keep_columns |
|
connections: |
|
- from: load_dataset |
|
to: |
|
- translate_en2vi_demo |
|
- from: translate_en2vi_demo |
|
to: |
|
- rename_columns |
|
- from: rename_columns |
|
to: |
|
- keep_columns |
|
- from: keep_columns |
|
to: [] |
|
routing_batch_functions: [] |
|
type_info: |
|
module: distilabel.pipeline.local |
|
name: Pipeline |
|
requirements: [] |
|
|
