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[Chore] Remove Nemotron-Nano-VL config copy (#28126)

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Signed-off-by: Isotr0py <mozf@mail2.sysu.edu.cn>
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Isotr0py 2025-11-06 04:06:45 +08:00 committed by GitHub
parent e04492449e
commit ffb08379d8
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3 changed files with 1 additions and 63 deletions
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2
vllm/transformers_utils/config.py
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@ -81,7 +81,6 @@ _CONFIG_REGISTRY: dict[str, type[PretrainedConfig]] = LazyConfigDict(
flex_olmo="FlexOlmoConfig",
kimi_linear="KimiLinearConfig",
kimi_vl="KimiVLConfig",
Llama_Nemotron_Nano_VL="Nemotron_Nano_VL_Config",
RefinedWeb="RWConfig", # For tiiuae/falcon-40b(-instruct)
RefinedWebModel="RWConfig", # For tiiuae/falcon-7b(-instruct)
jais="JAISConfig",
@ -106,6 +105,7 @@ _CONFIG_ATTRS_MAPPING: dict[str, str] = {
_AUTO_CONFIG_KWARGS_OVERRIDES: dict[str, dict[str, Any]] = {
"internvl_chat": {"has_no_defaults_at_init": True},
"Llama_Nemotron_Nano_VL": {"attn_implementation": "eager"},
"NVLM_D": {"has_no_defaults_at_init": True},
}

2
vllm/transformers_utils/configs/__init__.py
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@ -28,7 +28,6 @@ from vllm.transformers_utils.configs.mlp_speculator import MLPSpeculatorConfig
from vllm.transformers_utils.configs.moonvit import MoonViTConfig
from vllm.transformers_utils.configs.nemotron import NemotronConfig
from vllm.transformers_utils.configs.nemotron_h import NemotronHConfig
from vllm.transformers_utils.configs.nemotron_vl import Nemotron_Nano_VL_Config
from vllm.transformers_utils.configs.olmo3 import Olmo3Config
from vllm.transformers_utils.configs.ovis import OvisConfig
from vllm.transformers_utils.configs.qwen3_next import Qwen3NextConfig
@ -59,7 +58,6 @@ __all__ = [
"KimiVLConfig",
"NemotronConfig",
"NemotronHConfig",
"Nemotron_Nano_VL_Config",
"Olmo3Config",
"OvisConfig",
"RadioConfig",

60
vllm/transformers_utils/configs/nemotron_vl.py
View File

@ -1,60 +0,0 @@
# SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
# ruff: noqa: E501
# Adapted from
# https://huggingface.co/nvidia/Llama-3.1-Nemotron-Nano-VL-8B-V1/blob/main/configuration.py
# --------------------------------------------------------
# Adapted from https://huggingface.co/OpenGVLab/InternVL2-Llama3-76B under MIT License
# LICENSE is in incl_licenses directory.
# --------------------------------------------------------
from transformers import LlamaConfig
from transformers.configuration_utils import PretrainedConfig
from transformers.dynamic_module_utils import get_class_from_dynamic_module
class Nemotron_Nano_VL_Config(PretrainedConfig):
model_type = "Llama_Nemotron_Nano_VL"
is_composition = True
def __init__(
self,
vision_config=None,
llm_config=None,
force_image_size=None,
downsample_ratio=0.5,
template=None,
ps_version="v1",
image_tag_type="internvl",
projector_hidden_size=4096,
vit_hidden_size=1280,
**kwargs,
):
super().__init__(**kwargs)
if vision_config is not None:
assert (
"auto_map" in vision_config
and "AutoConfig" in vision_config["auto_map"]
)
vision_auto_config = get_class_from_dynamic_module(
*vision_config["auto_map"]["AutoConfig"].split("--")[::-1]
)
self.vision_config = vision_auto_config(**vision_config)
else:
self.vision_config = PretrainedConfig()
if llm_config is None:
self.text_config = LlamaConfig()
else:
self.text_config = LlamaConfig(**llm_config)
# Assign configuration values
self.force_image_size = force_image_size
self.downsample_ratio = downsample_ratio
self.template = template # TODO move out of here and into the tokenizer
self.ps_version = ps_version # Pixel shuffle version
self.image_tag_type = image_tag_type # TODO: into the tokenizer too?
self.projector_hidden_size = projector_hidden_size
self.vit_hidden_size = vit_hidden_size