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Remove deprecated --rope-scaling and --rope-theta (#28006)

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Signed-off-by: Harry Mellor <19981378+hmellor@users.noreply.github.com>
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Harry Mellor 2025-11-04 10:01:56 -08:00 committed by GitHub
parent 938a81692e
commit 2f1cc8cef1
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2 changed files with 0 additions and 33 deletions
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27
vllm/config/model.py
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@ -168,12 +168,6 @@ class ModelConfig:
"""The specific revision to use for the model code on the Hugging Face Hub. """The specific revision to use for the model code on the Hugging Face Hub.
It can be a branch name, a tag name, or a commit id. If unspecified, will It can be a branch name, a tag name, or a commit id. If unspecified, will
use the default version.""" use the default version."""
rope_scaling: dict[str, Any] = field(default_factory=dict)
"""RoPE scaling configuration. For example,
`{"rope_type":"dynamic","factor":2.0}`."""
rope_theta: float | None = None
"""RoPE theta. Use with `rope_scaling`. In some cases, changing the RoPE
theta improves the performance of the scaled model."""
tokenizer_revision: str | None = None tokenizer_revision: str | None = None
"""The specific revision to use for the tokenizer on the Hugging Face Hub. """The specific revision to use for the tokenizer on the Hugging Face Hub.
It can be a branch name, a tag name, or a commit id. If unspecified, will It can be a branch name, a tag name, or a commit id. If unspecified, will
@ -338,8 +332,6 @@ class ModelConfig:
factors.append(self.generation_config) factors.append(self.generation_config)
factors.append(self.model_impl) factors.append(self.model_impl)
factors.append(self.override_generation_config) factors.append(self.override_generation_config)
factors.append(self.rope_scaling)
factors.append(self.rope_theta)
factors.append(self.video_pruning_rate) factors.append(self.video_pruning_rate)
factors.append(self.enable_prompt_embeds) factors.append(self.enable_prompt_embeds)
@ -481,25 +473,6 @@ class ModelConfig:
hf_overrides_kw[key] = value hf_overrides_kw[key] = value
hf_overrides_fn = None hf_overrides_fn = None
if self.rope_scaling:
hf_override: dict[str, Any] = {"rope_scaling": self.rope_scaling}
hf_overrides_kw.update(hf_override)
hf_overrides_str = json.dumps(hf_overrides_kw)
msg = (
"`--rope-scaling` will be removed in a future release. "
f"'Please instead use `--hf-overrides '{hf_overrides_str}'`"
)
warnings.warn(DeprecationWarning(msg), stacklevel=2)
if self.rope_theta is not None:
hf_override = {"rope_theta": self.rope_theta}
hf_overrides_kw.update(hf_override)
hf_overrides_str = json.dumps(hf_overrides_kw)
msg = (
"`--rope-theta` will be removed in a future release. "
f"'Please instead use `--hf-overrides '{hf_overrides_str}'`"
)
warnings.warn(DeprecationWarning(msg), stacklevel=2)
self.maybe_pull_model_tokenizer_for_runai(self.model, self.tokenizer) self.maybe_pull_model_tokenizer_for_runai(self.model, self.tokenizer)
if ( if (

6
vllm/engine/arg_utils.py
View File

@ -438,8 +438,6 @@ class EngineArgs:
aggregate_engine_logging: bool = False aggregate_engine_logging: bool = False
revision: str | None = ModelConfig.revision revision: str | None = ModelConfig.revision
code_revision: str | None = ModelConfig.code_revision code_revision: str | None = ModelConfig.code_revision
rope_scaling: dict[str, Any] = get_field(ModelConfig, "rope_scaling")
rope_theta: float | None = ModelConfig.rope_theta
hf_token: bool | str | None = ModelConfig.hf_token hf_token: bool | str | None = ModelConfig.hf_token
hf_overrides: HfOverrides = get_field(ModelConfig, "hf_overrides") hf_overrides: HfOverrides = get_field(ModelConfig, "hf_overrides")
tokenizer_revision: str | None = ModelConfig.tokenizer_revision tokenizer_revision: str | None = ModelConfig.tokenizer_revision
@ -617,8 +615,6 @@ class EngineArgs:
) )
model_group.add_argument("--revision", **model_kwargs["revision"]) model_group.add_argument("--revision", **model_kwargs["revision"])
model_group.add_argument("--code-revision", **model_kwargs["code_revision"]) model_group.add_argument("--code-revision", **model_kwargs["code_revision"])
model_group.add_argument("--rope-scaling", **model_kwargs["rope_scaling"])
model_group.add_argument("--rope-theta", **model_kwargs["rope_theta"])
model_group.add_argument( model_group.add_argument(
"--tokenizer-revision", **model_kwargs["tokenizer_revision"] "--tokenizer-revision", **model_kwargs["tokenizer_revision"]
) )
@ -1184,8 +1180,6 @@ class EngineArgs:
seed=self.seed, seed=self.seed,
revision=self.revision, revision=self.revision,
code_revision=self.code_revision, code_revision=self.code_revision,
rope_scaling=self.rope_scaling,
rope_theta=self.rope_theta,
hf_token=self.hf_token, hf_token=self.hf_token,
hf_overrides=self.hf_overrides, hf_overrides=self.hf_overrides,
tokenizer_revision=self.tokenizer_revision, tokenizer_revision=self.tokenizer_revision,