llama-stack-mirror/docs/source/providers/post_training/inline_huggingface.md

inline::huggingface

Description

HuggingFace-based post-training provider for fine-tuning models using the HuggingFace ecosystem.

Configuration

Field	Type	Required	Default	Description
device	<class 'str'>	No	cuda
distributed_backend	Literal['fsdp', 'deepspeed'	No
checkpoint_format	Literal['full_state', 'huggingface'	No	huggingface
chat_template	<class 'str'>	No	<	user
{input}
<	assistant	>
{output}
model_specific_config	<class 'dict'>	No	{'trust_remote_code': True, 'attn_implementation': 'sdpa'}
max_seq_length	<class 'int'>	No	2048
gradient_checkpointing	<class 'bool'>	No	False
save_total_limit	<class 'int'>	No	3
logging_steps	<class 'int'>	No	10
warmup_ratio	<class 'float'>	No	0.1
weight_decay	<class 'float'>	No	0.01
dataloader_num_workers	<class 'int'>	No	4
dataloader_pin_memory	<class 'bool'>	No	True
dpo_beta	<class 'float'>	No	0.1
use_reference_model	<class 'bool'>	No	True
dpo_loss_type	Literal['sigmoid', 'hinge', 'ipo', 'kto_pair'	No	sigmoid

Sample Configuration

checkpoint_format: huggingface
distributed_backend: null
device: cpu