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2 changes: 1 addition & 1 deletion requirements/framework.txt
Original file line number Diff line number Diff line change
Expand Up @@ -35,6 +35,6 @@ tiktoken
tqdm
transformers>=4.33,<4.58
transformers_stream_generator
trl>=0.15,<0.21
trl>=0.15,<0.24
uvicorn
zstandard
3 changes: 2 additions & 1 deletion swift/llm/infer/infer_engine/sglang_engine.py
Original file line number Diff line number Diff line change
Expand Up @@ -73,13 +73,14 @@ def __init__(
parameters = inspect.signature(ServerArgs).parameters
if 'pp_size' in parameters:
engine_kwargs['pp_size'] = pp_size
if 'enable_ep_moe' in parameters:
engine_kwargs['enable_ep_moe'] = enable_ep_moe
Comment on lines 74 to +77
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medium

To improve code maintainability and reduce repetition, this block can be refactored to handle conditional keyword arguments more generically by iterating over a list of parameter names and their corresponding values.

Suggested change
if 'pp_size' in parameters:
engine_kwargs['pp_size'] = pp_size
if 'enable_ep_moe' in parameters:
engine_kwargs['enable_ep_moe'] = enable_ep_moe
for param, value in [('pp_size', pp_size), ('enable_ep_moe', enable_ep_moe)]:
if param in parameters:
engine_kwargs[param] = value

self.server_args = ServerArgs(
model_path=self.model_dir,
dtype=self.model_info.torch_dtype,
tp_size=tp_size,
dp_size=dp_size,
ep_size=ep_size,
enable_ep_moe=enable_ep_moe,
mem_fraction_static=mem_fraction_static,
context_length=context_length,
disable_cuda_graph=disable_cuda_graph,
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2 changes: 2 additions & 0 deletions swift/llm/train/tuner.py
Original file line number Diff line number Diff line change
Expand Up @@ -316,6 +316,8 @@ def prepare_adapter(args: TrainArguments, model, *, template=None, train_dataset
)
logger.info(f'bone config: {bone_config}')
model = Swift.prepare_model(model, bone_config)
else:
raise ValueError(f'Unknown train_type: {args.train_type}')
return model


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