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Bump Transformers version to 5.13.0 (#47867)

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Signed-off-by: Harry Mellor <19981378+hmellor@users.noreply.github.com>
This commit is contained in:
Harry Mellor
2026-07-11 00:56:14 -07:00
committed by GitHub
parent bec0a4ede6
commit 4a6440acef
12 changed files with 30 additions and 24 deletions
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requirements/test/cpu.txt
+2 -2
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@@ -962,7 +962,7 @@ s3transfer==0.10.3
# via boto3
sacrebleu==2.4.3
# via lm-eval
safetensors==0.7.0
safetensors==0.8.0
# via
# -r requirements/test/../common.txt
# accelerate
@@ -1159,7 +1159,7 @@ tqdm==4.67.3
# segmentation-models-pytorch
# sentence-transformers
# transformers
transformers==5.10.4
transformers @ git+https://github.com/huggingface/transformers.git@bef013c4a2180aeef83355bd200a7383ce1ac7e3
# via
# -r requirements/test/../common.txt
# -r requirements/test/cuda.in
requirements/test/cuda.in
+1 -1
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@@ -39,7 +39,7 @@ open_clip_torch==2.32.0 # Required for nemotron_vl test, Nemotron Parse in test_
datamodel_code_generator # required for minicpm3 test
lm-eval[api]>=0.4.12 # required for model evaluation test
mteb[bm25s]>=2, <3 # required for mteb test
transformers==5.10.4
transformers @ git+https://github.com/huggingface/transformers.git@v5.13-release
tokenizers==0.22.2
schemathesis>=4.0.0 # Required for openai schema test.
# quantization
requirements/test/cuda.txt
+2 -2
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@@ -1053,7 +1053,7 @@ s3transfer==0.10.3
# via boto3
sacrebleu==2.4.3
# via lm-eval
safetensors==0.7.0
safetensors==0.8.0
# via
# -c requirements/common.txt
# -r requirements/test/../common.txt
@@ -1261,7 +1261,7 @@ tqdm==4.67.3
# segmentation-models-pytorch
# sentence-transformers
# transformers
transformers==5.10.4
transformers @ git+https://github.com/huggingface/transformers.git@bef013c4a2180aeef83355bd200a7383ce1ac7e3
# via
# -c requirements/common.txt
# -r requirements/test/../common.txt
requirements/test/nightly-torch.txt
+1 -1
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@@ -29,7 +29,7 @@ opencv-python-headless >= 4.13.0 # required for video test
datamodel_code_generator # required for minicpm3 test
lm-eval[api]>=0.4.12 # required for model evaluation test
mteb[bm25s]>=2, <3 # required for mteb test
transformers==5.10.4
transformers @ git+https://github.com/huggingface/transformers.git@v5.13-release
tokenizers==0.22.2
schemathesis>=4.0.0 # Required for openai schema test.
# quantization
requirements/test/rocm.in
+1 -1
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@@ -35,7 +35,7 @@ open_clip_torch==2.32.0 # Required for nemotron_vl test, Nemotron Parse in test_
datamodel_code_generator # required for minicpm3 test
lm-eval[api]>=0.4.12 # required for model evaluation test
mteb[bm25s]>=2, <3 # required for mteb test
transformers==5.10.4
transformers @ git+https://github.com/huggingface/transformers.git@v5.13-release
tokenizers==0.22.2
schemathesis>=4.0.0 # Required for openai schema test
# quantization
requirements/test/rocm.txt
+2 -2
View File
@@ -1035,7 +1035,7 @@ s3transfer==0.16.0
# via boto3
sacrebleu==2.6.0
# via lm-eval
safetensors==0.7.0
safetensors==0.8.0
# via
# -c requirements/common.txt
# -r requirements/test/../common.txt
@@ -1218,7 +1218,7 @@ tqdm==4.67.3
# sentence-transformers
# tilelang
# transformers
transformers==5.10.4
transformers @ git+https://github.com/huggingface/transformers.git@bef013c4a2180aeef83355bd200a7383ce1ac7e3
# via
# -c requirements/common.txt
# -r requirements/test/../common.txt
requirements/test/xpu.in
+1 -1
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@@ -17,7 +17,7 @@ accelerate
arctic-inference
lm_eval[api]>=0.4.12
modelscope<1.38
transformers==5.10.4
transformers @ git+https://github.com/huggingface/transformers.git@v5.13-release
# --- Audio Processing ---
librosa
requirements/test/xpu.txt
+2 -2
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@@ -779,7 +779,7 @@ rpds-py==0.30.0
# referencing
sacrebleu==2.6.0
# via lm-eval
safetensors==0.7.0
safetensors==0.8.0
# via
# -c requirements/common.txt
# -r requirements/test/../common.txt
@@ -940,7 +940,7 @@ tqdm==4.67.3
# pqdm
# sentence-transformers
# transformers
transformers==5.10.4
transformers @ git+https://github.com/huggingface/transformers.git@bef013c4a2180aeef83355bd200a7383ce1ac7e3
# via
# -c requirements/common.txt
# -r requirements/test/../common.txt
vllm/model_executor/models/granitemoehybrid.py
+4
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@@ -316,8 +316,12 @@ class GraniteMoeHybridAttention(nn.Module):
ALL_DECODER_LAYER_TYPES = {
# Transformers < 5.13.0
"attention": GraniteMoeHybridAttentionDecoderLayer,
"mamba": GraniteMoeHybridMambaDecoderLayer,
# Transformers >= 5.13.0
"full_attention": GraniteMoeHybridAttentionDecoderLayer,
"linear_attention": GraniteMoeHybridMambaDecoderLayer,
}
vllm/model_executor/models/hunyuan_vision.py
+11 -3
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@@ -73,6 +73,7 @@ from vllm.multimodal.processing import (
BaseProcessingInfo,
PromptReplacement,
PromptUpdate,
PromptUpdateDetails,
)
from vllm.sequence import IntermediateTensors
from vllm.transformers_utils.configs.hunyuan_vl import (
@@ -751,8 +752,10 @@ class HunYuanVLMultiModalProcessor(BaseMultiModalProcessor[HunYuanVLProcessingIn
hf_processor = self.info.get_hf_processor(**hf_processor_mm_kwargs)
image_processor = self.info.get_image_processor(**hf_processor_mm_kwargs)
placeholder = {
token_ids = {
"image": hf_processor.image_token_id,
"image_start": hf_processor.image_start_token_id,
"image_end": hf_processor.image_end_token_id,
}
merge_size = image_processor.merge_size
@@ -766,12 +769,17 @@ class HunYuanVLMultiModalProcessor(BaseMultiModalProcessor[HunYuanVLProcessingIn
num_tokens = (int(grid_h) // merge_size) * (
int(grid_w) // merge_size + 1
) + 2
return [placeholder[modality]] * num_tokens
tokens = (
[token_ids[f"{modality}_start"]]
+ [token_ids[modality]] * num_tokens
+ [token_ids[f"{modality}_end"]]
)
return PromptUpdateDetails.select_token_id(tokens, token_ids[modality])
return [
PromptReplacement(
modality=modality,
target=[placeholder[modality]],
target=[token_ids[modality]],
replacement=partial(get_replacement_hunyuan_vl, modality=modality),
)
for modality in ("image",)
vllm/model_executor/models/olmo3.py
+3 -5
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@@ -137,11 +137,9 @@ class Olmo3Attention(nn.Module):
)
# Rotary embeddings. Rope scaling is only applied on full attention layers.
if sliding_window is None:
rope_parameters = self.config.rope_parameters
else:
rope_theta = self.config.rope_parameters["rope_theta"]
rope_parameters = {"rope_type": "default", "rope_theta": rope_theta}
rope_parameters = self.config.rope_parameters
attn_type = "full_attention" if sliding_window is None else "sliding_attention"
rope_parameters = rope_parameters.get(attn_type, rope_parameters)
self.rotary_emb = get_rope(
self.head_dim,
max_position=self.max_position_embeddings,
vllm/transformers_utils/processors/__init__.py
-4
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@@ -21,8 +21,6 @@ __all__ = [
"GLM4VProcessor",
"Granite4VisionProcessor",
"H2OVLProcessor",
"HunYuanVLProcessor",
"HunYuanVLImageProcessor",
"Moondream3Processor",
"InternVLProcessor",
"IsaacProcessor",
@@ -58,8 +56,6 @@ _CLASS_TO_MODULE: dict[str, str] = {
"GLM4VProcessor": "vllm.transformers_utils.processors.glm4v",
"Granite4VisionProcessor": "vllm.transformers_utils.processors.granite4_vision",
"H2OVLProcessor": "vllm.transformers_utils.processors.h2ovl",
"HunYuanVLProcessor": "vllm.transformers_utils.processors.hunyuan_vl",
"HunYuanVLImageProcessor": "vllm.transformers_utils.processors.hunyuan_vl_image",
"InternVLProcessor": "vllm.transformers_utils.processors.internvl",
"IsaacProcessor": "vllm.transformers_utils.processors.isaac",
"KimiAudioProcessor": "vllm.transformers_utils.processors.kimi_audio",