Fix more dates in model cards and wrong modalities in _toctree.yml

docs/source/en/_toctree.yml

@@ -437,6 +437,8 @@
         title: DeBERTa
       - local: model_doc/deberta-v2
         title: DeBERTa-v2
+      - local: model_doc/deepseek_v2
+        title: DeepSeek-V2
       - local: model_doc/deepseek_v3
         title: DeepSeek-V3
       - local: model_doc/dialogpt
@@ -761,12 +763,6 @@
         title: D-FINE
       - local: model_doc/dab-detr
         title: DAB-DETR
-      - local: model_doc/deepseek_v2
-        title: DeepSeek-V2
-      - local: model_doc/deepseek_vl
-        title: DeepseekVL
-      - local: model_doc/deepseek_vl_hybrid
-        title: DeepseekVLHybrid
       - local: model_doc/deformable_detr
         title: Deformable DETR
       - local: model_doc/deit
@@ -849,10 +845,16 @@
         title: RT-DETR
       - local: model_doc/rt_detr_v2
         title: RT-DETRv2
+      - local: model_doc/sam2
+        title: SAM2
       - local: model_doc/segformer
         title: SegFormer
       - local: model_doc/seggpt
         title: SegGpt
+      - local: model_doc/sam
+        title: Segment Anything
+      - local: model_doc/sam_hq
+        title: Segment Anything High Quality
       - local: model_doc/superglue
         title: SuperGlue
       - local: model_doc/superpoint
@@ -975,6 +977,8 @@
         title: XLSR-Wav2Vec2
       title: Audio models
     - sections:
+      - local: model_doc/sam2_video
+        title: SAM2 Video
       - local: model_doc/timesformer
         title: TimeSformer
       - local: model_doc/vjepa2
@@ -1019,6 +1023,10 @@
         title: ColQwen2
       - local: model_doc/data2vec
         title: Data2Vec
+      - local: model_doc/deepseek_vl
+        title: DeepseekVL
+      - local: model_doc/deepseek_vl_hybrid
+        title: DeepseekVLHybrid
       - local: model_doc/deplot
         title: DePlot
       - local: model_doc/donut
@@ -1137,14 +1145,6 @@
         title: Qwen3VL
       - local: model_doc/qwen3_vl_moe
         title: Qwen3VLMoe
-      - local: model_doc/sam2
-        title: SAM2
-      - local: model_doc/sam2_video
-        title: SAM2 Video
-      - local: model_doc/sam
-        title: Segment Anything
-      - local: model_doc/sam_hq
-        title: Segment Anything High Quality
       - local: model_doc/shieldgemma2
         title: ShieldGemma2
       - local: model_doc/siglip

docs/source/en/model_doc/bert-generation.md

@@ -13,6 +13,7 @@ specific language governing permissions and limitations under the License.
 rendered properly in your Markdown viewer.
 
 -->
+*This model was released on 2019-07-29 and added to Hugging Face Transformers on 2020-11-16.*
 
 <div style="float: right;">
     <div class="flex flex-wrap space-x-1">

docs/source/en/model_doc/flex_olmo.md

@@ -16,7 +16,7 @@ limitations under the License.
 ⚠️ Note that this file is in Markdown but contain specific syntax for our doc-builder (similar to MDX) that may not be rendered properly in your Markdown viewer.
 
 -->
-*This model was released on 2025-07-09 and added to Hugging Face Transformers on 2025-09-15.*
+*This model was released on 2025-07-09 and added to Hugging Face Transformers on 2025-09-18.*
 <div style="float: right;">
     <div class="flex flex-wrap space-x-1">
         <img alt="PyTorch" src="https://img.shields.io/badge/PyTorch-DE3412?style=flat&logo=pytorch&logoColor=white">

docs/source/en/model_doc/hunyuan_v1_dense.md

@@ -13,6 +13,7 @@ specific language governing permissions and limitations under the License.
 rendered properly in your Markdown viewer.
 
 -->
+*This model was released on {release_date} and added to Hugging Face Transformers on 2025-08-22.*
 
 # HunYuanDenseV1
 

docs/source/en/model_doc/hunyuan_v1_moe.md

@@ -13,6 +13,7 @@ specific language governing permissions and limitations under the License.
 rendered properly in your Markdown viewer.
 
 -->
+*This model was released on {release_date} and added to Hugging Face Transformers on 2025-08-22.*
 
 # HunYuanMoEV1
 

docs/source/en/model_doc/lfm2_vl.md

@@ -13,6 +13,7 @@ specific language governing permissions and limitations under the License.
 rendered properly in your Markdown viewer.
 
 -->
+*This model was released on {release_date} and added to Hugging Face Transformers on 2025-09-18.*
 
 <div class="flex flex-wrap space-x-1">
 <img alt="PyTorch" src="https://img.shields.io/badge/PyTorch-DE3412?style=flat&logo=pytorch&logoColor=white">

docs/source/en/model_doc/longcat_flash.md

@@ -16,8 +16,7 @@ limitations under the License.
 ⚠️ Note that this file is in Markdown but contain specific syntax for our doc-builder (similar to MDX) that may not be rendered properly in your Markdown viewer.
 
 -->
-*This model was released on 2025-09-01 and added to Hugging Face Transformers on 2025-09-15.*
-
+*This model was released on 2025-09-01 and added to Hugging Face Transformers on 2025-09-17.*
 
 # LongCatFlash
 
@@ -70,7 +69,7 @@ outputs = model.generate(inputs, max_new_tokens=30)
 print(tokenizer.batch_decode(outputs))
 ```
 
-To run with TP, you will need torchrun: 
+To run with TP, you will need torchrun:
 
 ```bash
 torchrun  --nproc_per_node=8 --nnodes=2 --node_rank=0 | 1  --rdzv-id <an_id> --rdzv-backend c10d --rdzv-endpoint $NODE_ID:$NODE_PORT  --log-dir ./logs_longcat launch_longcat.py

docs/source/en/model_doc/ministral.md

@@ -13,6 +13,7 @@ specific language governing permissions and limitations under the License.
 rendered properly in your Markdown viewer.
 
 -->
+*This model was released on {release_date} and added to Hugging Face Transformers on 2025-09-11.*
 
 <div style="float: right;">
     <div class="flex flex-wrap space-x-1">

docs/source/en/model_doc/olmo3.md

@@ -16,7 +16,8 @@ limitations under the License.
 ⚠️ Note that this file is in Markdown but contain specific syntax for our doc-builder (similar to MDX) that may not be rendered properly in your Markdown viewer.
 
 -->
-*This model was released on {release_date} and added to Hugging Face Transformers on 2025-09-08.*
+*This model was released on {release_date} and added to Hugging Face Transformers on 2025-09-16.*
+
 <div style="float: right;">
     <div class="flex flex-wrap space-x-1">
         <img alt="PyTorch" src="https://img.shields.io/badge/PyTorch-DE3412?style=flat&logo=pytorch&logoColor=white">
@@ -46,7 +47,7 @@ pipe = pipeline(
     dtype=torch.bfloat16,
     device=0,
 )
-    
+
 result = pipe("Plants create energy through a process known as")
 print(result)
 ```
@@ -119,11 +120,11 @@ print(tokenizer.decode(output[0], skip_special_tokens=True))
 
 ## Notes
 
-- Load specific intermediate checkpoints by adding the `revision` parameter to [`~PreTrainedModel.from_pretrained`]. 
+- Load specific intermediate checkpoints by adding the `revision` parameter to [`~PreTrainedModel.from_pretrained`].
 
     ```py
     from transformers import AutoModelForCausalLM
-    
+
     model = AutoModelForCausalLM.from_pretrained("allenai/TBA", revision="stage1-step140000-tokens294B")
     ```
 
@@ -144,4 +145,4 @@ print(tokenizer.decode(output[0], skip_special_tokens=True))
 ## Olmo3PreTrainedModel
 
 [[autodoc]] Olmo3PreTrainedModel
-    - forward
+    - forward

docs/source/en/model_doc/ovis2.md

@@ -13,6 +13,7 @@ specific language governing permissions and limitations under the License.
 rendered properly in your Markdown viewer.
 
 -->
+*This model was released on 2024-05-31 and added to Hugging Face Transformers on 2025-08-18.*
 
 # Ovis2
 

docs/source/en/model_doc/qwen3_next.md

@@ -13,18 +13,20 @@ specific language governing permissions and limitations under the License.
 rendered properly in your Markdown viewer.
 
 -->
+*This model was released on {release_date} and added to Hugging Face Transformers on 2025-09-10.*
+
 ## Overview
 
-The Qwen3-Next series represents our next-generation foundation models, optimized for extreme context length and large-scale parameter efficiency. 
+The Qwen3-Next series represents our next-generation foundation models, optimized for extreme context length and large-scale parameter efficiency.
 The series introduces a suite of architectural innovations designed to maximize performance while minimizing computational cost:
-- **Hybrid Attention**: Replaces standard attention with the combination of **Gated DeltaNet** and **Gated Attention**, enabling efficient context modeling.  
+- **Hybrid Attention**: Replaces standard attention with the combination of **Gated DeltaNet** and **Gated Attention**, enabling efficient context modeling.
 - **High-Sparsity MoE**: Achieves an extreme low activation ratio as 1:50 in MoE layers — drastically reducing FLOPs per token while preserving model capacity.
 - **Multi-Token Prediction(MTP)**: Boosts pretraining model performance, and accelerates inference.
-- **Other Optimizations**: Includes techniques such as **zero-centered and weight-decayed layernorm**, **Gated Attention**, and other stabilizing enhancements for robust training.  
+- **Other Optimizations**: Includes techniques such as **zero-centered and weight-decayed layernorm**, **Gated Attention**, and other stabilizing enhancements for robust training.
 
 Built on this architecture, we trained and open-sourced Qwen3-Next-80B-A3B — 80B total parameters, only 3B active — achieving extreme sparsity and efficiency.
 
-Despite its ultra-efficiency, it outperforms Qwen3-32B on downstream tasks — while requiring **less than 1/10 of the training cost**. 
+Despite its ultra-efficiency, it outperforms Qwen3-32B on downstream tasks — while requiring **less than 1/10 of the training cost**.
 Moreover, it delivers over **10x higher inference throughput** than Qwen3-32B when handling contexts longer than 32K tokens.
 
 For more details, please visit our blog [Qwen3-Next](qwen3_next) ([blog post](https://qwenlm.github.io/blog/qwen3_next/)).
@@ -60,7 +62,7 @@ generated_ids = model.generate(
     **model_inputs,
     max_new_tokens=512
 )
-output_ids = generated_ids[0][len(model_inputs.input_ids[0]):].tolist() 
+output_ids = generated_ids[0][len(model_inputs.input_ids[0]):].tolist()
 
 content = tokenizer.decode(output_ids, skip_special_tokens=True)
 

docs/source/en/model_doc/qwen3_vl.md

@@ -13,7 +13,7 @@ specific language governing permissions and limitations under the License.
 rendered properly in your Markdown viewer.
 
 -->
-*This model was released on None and added to Hugging Face Transformers on 2025-08-16.*
+*This model was released on None and added to Hugging Face Transformers on 2025-09-15.*
 
 <div style="float: right;">
     <div class="flex flex-wrap space-x-1">

docs/source/en/model_doc/qwen3_vl_moe.md

@@ -13,7 +13,7 @@ specific language governing permissions and limitations under the License.
 rendered properly in your Markdown viewer.
 
 -->
-*This model was released on None and added to Hugging Face Transformers on 2025-08-17.*
+*This model was released on None and added to Hugging Face Transformers on 2025-09-15.*
 
 <div style="float: right;">
     <div class="flex flex-wrap space-x-1">

docs/source/en/model_doc/seed_oss.md

@@ -1,17 +1,20 @@
-<!-- 
-# Copyright 2025 Bytedance-Seed Ltd and the HuggingFace Inc. team. All rights reserved.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License. -->
+<!--
+ Copyright 2025 Bytedance-Seed Ltd and the HuggingFace Inc. team. All rights reserved.
+
+Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
+the License. You may obtain a copy of the License at
+
+http://www.apache.org/licenses/LICENSE-2.0
+
+Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on
+an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the
+specific language governing permissions and limitations under the License.
+
+⚠️ Note that this file is in Markdown but contain specific syntax for our doc-builder (similar to MDX) that may not be
+rendered properly in your Markdown viewer.
+
+-->
+*This model was released on {release_date} and added to Hugging Face Transformers on 2025-08-22.*
 
 # SeedOss
 
@@ -54,4 +57,4 @@ To be released with the official model launch.
 ## SeedOssForQuestionAnswering
 
 [[autodoc]] SeedOssForQuestionAnswering
-    - forward
+    - forward

docs/source/en/model_doc/vaultgemma.md

@@ -16,6 +16,7 @@ limitations under the License.
 ⚠️ Note that this file is in Markdown but contain specific syntax for our doc-builder (similar to MDX) that may not be rendered properly in your Markdown viewer.
 
 -->
+*This model was released on {release_date} and added to Hugging Face Transformers on 2025-09-12.*
 
 # VaultGemma
 
@@ -30,7 +31,7 @@ sequence length.
 VaultGemma was trained from scratch with sequence-level differential privacy (DP). Its training data includes the same
 mixture as the [Gemma 2 models](https://huggingface.co/collections/google/gemma-2-release-667d6600fd5220e7b967f315),
 consisting of a number of documents of varying lengths. Additionally, it is trained using
-[DP stochastic gradient descent (DP-SGD)](https://arxiv.org/abs/1607.00133) and provides a
+[DP stochastic gradient descent (DP-SGD)](https://huggingface.co/papers/1607.00133) and provides a
 (ε ≤ 2.0, δ ≤ 1.1e-10)-sequence-level DP guarantee, where a sequence consists of 1024 consecutive tokens extracted from
 heterogeneous data sources. Specifically, the privacy unit of the guarantee is for the sequences after sampling and
 packing of the mixture.