Add Qwen3-VL-2B config

src/maxtext/checkpoint_conversion/utils/hf_model_configs.py

@@ -1642,6 +1642,62 @@ def __init__(self, **kwargs):
 }
 qwen3_vl_4b_config = PTConfig(**qwen3_vl_4b_dict)
 
+qwen3_vl_2b_dict = {
+    "architectures": ["Qwen3VLForConditionalGeneration"],
+    "image_token_id": 151655,
+    "model_type": "qwen3_vl",
+    "text_config": {
+        "attention_bias": False,
+        "attention_dropout": 0.0,
+        "bos_token_id": 151643,
+        "dtype": "bfloat16",
+        "eos_token_id": 151645,
+        "head_dim": 128,
+        "hidden_act": "silu",
+        "hidden_size": 2048,
+        "initializer_range": 0.02,
+        "intermediate_size": 6144,
+        "max_position_embeddings": 262144,
+        "model_type": "qwen3_vl_text",
+        "num_attention_heads": 16,
+        "num_hidden_layers": 28,
+        "num_key_value_heads": 8,
+        "pad_token_id": None,
+        "rms_norm_eps": 1e-06,
+        "rope_parameters": {
+            "mrope_interleaved": True,
+            "mrope_section": [24, 20, 20],
+            "rope_theta": 5000000,
+            "rope_type": "default",
+        },
+        "tie_word_embeddings": True,
+        "use_cache": True,
+        "vocab_size": 151936,
+    },
+    "tie_word_embeddings": True,
+    "transformers_version": "4.57.0.dev0",
+    "video_token_id": 151656,
+    "vision_config": {
+        "deepstack_visual_indexes": [5, 11, 17],
+        "depth": 24,
+        "hidden_act": "gelu_pytorch_tanh",
+        "hidden_size": 1024,
+        "in_channels": 3,
+        "initializer_range": 0.02,
+        "intermediate_size": 4096,
+        "model_type": "qwen3_vl_vision",
+        "num_heads": 16,
+        "num_position_embeddings": 2304,
+        "out_hidden_size": 2048,
+        "patch_size": 16,
+        "spatial_merge_size": 2,
+        "temporal_patch_size": 2,
+    },
+    "vision_end_token_id": 151653,
+    "vision_start_token_id": 151652,
+}
+qwen3_vl_2b_config = PTConfig(**qwen3_vl_2b_dict)
+
 
 # {maxtext model name: hf model config}
 HF_MODEL_CONFIGS = {
@@ -1669,6 +1725,7 @@ def __init__(self, **kwargs):
     "qwen3-14b": qwen3_14b_config,
     "qwen3-14b-base": qwen3_14b_config,
     "qwen3-32b": qwen3_32b_config,
+    "qwen3-vl-2b": qwen3_vl_2b_config,
     "qwen3-vl-4b": qwen3_vl_4b_config,
     "llama3.1-8b": llama31_8b_config,
     "llama3.1-8b-Instruct": llama31_8b_config,

src/maxtext/checkpoint_conversion/utils/hf_shape.py

@@ -1182,6 +1182,7 @@ def QWEN3_VL_HF_WEIGHTS_TO_SHAPE(config):
     "qwen3-8b": QWEN_HF_WEIGHTS_TO_SHAPE,
     "qwen3-14b": QWEN_HF_WEIGHTS_TO_SHAPE,
     "qwen3-32b": QWEN_HF_WEIGHTS_TO_SHAPE,
+    "qwen3-vl-2b": QWEN3_VL_HF_WEIGHTS_TO_SHAPE,
     "qwen3-vl-4b": QWEN3_VL_HF_WEIGHTS_TO_SHAPE,
     "llama3.1-8b": LLAMA31_HF_WEIGHTS_TO_SHAPE,
     "llama3.1-8b-Instruct": LLAMA31_HF_WEIGHTS_TO_SHAPE,

src/maxtext/checkpoint_conversion/utils/param_mapping.py

@@ -3883,6 +3883,7 @@ def reshape_vision_attn_out(input_tensor, target_shape):
     "qwen3-14b": QWEN_MAXTEXT_TO_HF_PARAM_MAPPING,
     "qwen3-14b-base": QWEN_MAXTEXT_TO_HF_PARAM_MAPPING,
     "qwen3-32b": QWEN_MAXTEXT_TO_HF_PARAM_MAPPING,
+    "qwen3-vl-2b": QWEN3_VL_MAXTEXT_TO_HF_PARAM_MAPPING,
     "qwen3-vl-4b": QWEN3_VL_MAXTEXT_TO_HF_PARAM_MAPPING,
     "llama3.1-8b": LLAMA31_MAXTEXT_TO_HF_PARAM_MAPPING,
     "llama3.1-8b-Instruct": LLAMA31_MAXTEXT_TO_HF_PARAM_MAPPING,
@@ -3934,6 +3935,7 @@ def reshape_vision_attn_out(input_tensor, target_shape):
     "qwen3-14b": QWEN_MAXTEXT_TO_HF_PARAM_HOOK_FN,
     "qwen3-14b-base": QWEN_MAXTEXT_TO_HF_PARAM_HOOK_FN,
     "qwen3-32b": QWEN_MAXTEXT_TO_HF_PARAM_HOOK_FN,
+    "qwen3-vl-2b": QWEN3_VL_MAXTEXT_TO_HF_PARAM_HOOK_FN,
     "qwen3-vl-4b": QWEN3_VL_MAXTEXT_TO_HF_PARAM_HOOK_FN,
     "llama3.1-8b": LLAMA31_MAXTEXT_TO_HF_PARAM_HOOK_FN,
     "llama3.1-8b-Instruct": LLAMA31_MAXTEXT_TO_HF_PARAM_HOOK_FN,

src/maxtext/configs/models/qwen3-vl-2b.yml

@@ -0,0 +1,56 @@
+# Copyright 2026 Google LLC
+#
+# 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
+#
+#      https://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.
+
+# Model config for Qwen/Qwen3-VL-2B-Instruct
+
+# Core Architectural Parameters
+decoder_block: "qwen3"
+base_emb_dim: 2048
+base_mlp_dim: 6144
+base_num_query_heads: 16
+base_num_kv_heads: 8
+base_num_decoder_layers: 28
+head_dim: 128
+mlp_activations: ["silu", "linear"]
+vocab_size: 151936
+normalization_layer_epsilon: 1.0e-6
+use_qk_norm: true
+logits_via_embedding: true
+normalize_embedding_logits: false
+
+# RoPE Settings
+rope_max_timescale: 5000000
+
+# General Model Settings
+enable_dropout: false
+
+# Vision Encoder Configuration
+# Based on HuggingFace AutoConfig for Qwen/Qwen3-VL-2B-Instruct
+use_multimodal: true
+image_size_for_vit: 768
+hidden_size_for_vit: 1024
+intermediate_size_for_vit: 4096
+num_attention_heads_for_vit: 16
+num_hidden_layers_for_vit: 24
+num_channels_for_vit: 3
+patch_size_for_vit: 16
+temporal_patch_size_for_vit: 2
+spatial_merge_size_for_vit: 2
+out_hidden_size_for_vit: 2048
+num_position_embeddings_for_vit: 2304
+deepstack_visual_indexes_for_vit: [5, 11, 17]
+
+# MRoPE Settings
+use_mrope: true
+mrope_section: [24, 20, 20]

src/maxtext/configs/types.py

@@ -261,6 +261,7 @@ class ProfilerType(str, Enum):
     "qwen3-30b-a3b",
     "qwen3-30b-a3b-base",
     "qwen3-480b-a35b",
+    "qwen3-vl-2b",
     "qwen3-vl-4b",
     "qwen3-next-80b-a3b",
     "qwen3-omni-30b-a3b",
@@ -3156,6 +3157,7 @@ def calculate_global_batch_sizes(per_device_batch_size, expansion_factor, num_de
           "llama4-17b-16e",
           "llama4-17b-128e",
           "qwen3-omni-30b-a3b",
+          "qwen3-vl-2b",
           "qwen3-vl-4b",
           "qwen3.5-35b-a3b",
           "qwen3.5-397b-a17b",

src/maxtext/layers/decoders.py

@@ -728,6 +728,7 @@ def _apply_embedding(
             "llama4-17b-16e",
             "llama4-17b-128e",
             "qwen3-omni-30b-a3b",
+            "qwen3-vl-2b",
             "qwen3-vl-4b",
             "qwen3.5-35b-a3b",
             "qwen3.5-397b-a17b",
@@ -743,7 +744,7 @@ def _apply_embedding(
           raise ValueError(f"Unsupported model_name for multimodal: {cfg.model_name}")
 
       if video_embeddings is not None and cfg.use_multimodal:
-        if cfg.model_name in ["qwen3-omni-30b-a3b", "qwen3-vl-4b", "qwen3.5-35b-a3b", "qwen3.5-397b-a17b"]:
+        if cfg.model_name in ["qwen3-omni-30b-a3b", "qwen3-vl-2b", "qwen3-vl-4b", "qwen3.5-35b-a3b", "qwen3.5-397b-a17b"]:
           y = mm_utils.merge_mm_embeddings(
               text_embeddings=y,
               multimodal_embeddings=video_embeddings,

src/maxtext/layers/encoders.py

@@ -80,7 +80,7 @@ def _setup_vision_encoder_layers(self):
       )
       setattr(self, projector_name, qwen3_5_vision.Qwen3_5MoeVisionProjector(config=self.config, rngs=self.rngs))
       return encoder_name, projector_name
-    elif self.config.model_name in ["qwen3-vl-4b"]:
+    elif self.config.model_name in ["qwen3-vl-4b", "qwen3-vl-2b"]:
       from maxtext.models import qwen3_vl_vision  # pylint: disable=import-outside-toplevel
 
       encoder_name = "Qwen3VLVisionEncoder_0"

src/maxtext/multimodal/processor.py

@@ -44,7 +44,7 @@ def preprocess_mm_data(config):
 
     images = [mm_utils.load_image_from_path(p) for p in config.image_path.split(",")]
     processor_outputs = preprocess_mm_data_llama4(images)
-  elif config.model_name in ["qwen3-omni-30b-a3b", "qwen3-vl-4b", "qwen3.5-35b-a3b", "qwen3.5-397b-a17b"]:
+  elif config.model_name in ["qwen3-omni-30b-a3b", "qwen3-vl-2b", "qwen3-vl-4b", "qwen3.5-35b-a3b", "qwen3.5-397b-a17b"]:
     from maxtext.multimodal.processor_qwen3_omni import preprocess_mm_data_qwen3_omni  # pylint: disable=import-outside-toplevel
 
     processor_outputs = preprocess_mm_data_qwen3_omni(config)
@@ -68,7 +68,7 @@ def preprocess_image_for_training(image, config):
     from maxtext.multimodal.processor_llama4 import preprocess_mm_data_llama4  # pylint: disable=import-outside-toplevel
 
     return preprocess_mm_data_llama4(image)
-  elif config.model_name in ["qwen3-omni-30b-a3b", "qwen3-vl-4b", "qwen3.5-35b-a3b", "qwen3.5-397b-a17b"]:
+  elif config.model_name in ["qwen3-omni-30b-a3b", "qwen3-vl-2b", "qwen3-vl-4b", "qwen3.5-35b-a3b", "qwen3.5-397b-a17b"]:
     from maxtext.multimodal.processor_qwen3_omni import preprocess_mm_data_qwen3_omni_for_training  # pylint: disable=import-outside-toplevel
 
     return preprocess_mm_data_qwen3_omni_for_training(image, config)
@@ -90,7 +90,7 @@ def get_image_offsets(config, processor_output: mm_utils.PreprocessorOutput | No
     from maxtext.multimodal.processor_llama4 import get_image_offsets_llama4  # pylint: disable=import-outside-toplevel
 
     return get_image_offsets_llama4(processor_output)
-  elif config.model_name in ["qwen3-omni-30b-a3b", "qwen3-vl-4b", "qwen3.5-35b-a3b", "qwen3.5-397b-a17b"]:
+  elif config.model_name in ["qwen3-omni-30b-a3b", "qwen3-vl-2b", "qwen3-vl-4b", "qwen3.5-35b-a3b", "qwen3.5-397b-a17b"]:
     from maxtext.multimodal.processor_qwen3_omni import get_mm_offsets_qwen3_omni  # pylint: disable=import-outside-toplevel
 
     return get_mm_offsets_qwen3_omni(config, processor_output)
@@ -112,7 +112,7 @@ def reformat_prompt(prompt, image_placeholder, model_name, num_images, video_pla
     from maxtext.multimodal.processor_llama4 import reformat_prompt_llama4  # pylint: disable=import-outside-toplevel
 
     return reformat_prompt_llama4(prompt, image_placeholder, num_images)
-  elif model_name in ["qwen3-omni-30b-a3b", "qwen3-vl-4b", "qwen3.5-35b-a3b", "qwen3.5-397b-a17b"]:
+  elif model_name in ["qwen3-omni-30b-a3b", "qwen3-vl-2b", "qwen3-vl-4b", "qwen3.5-35b-a3b", "qwen3.5-397b-a17b"]:
     from maxtext.multimodal.processor_qwen3_omni import reformat_prompt_qwen3_omni  # pylint: disable=import-outside-toplevel
 
     return reformat_prompt_qwen3_omni(
@@ -137,7 +137,7 @@ def reformat_response(response, model_name):
   elif model_name in ["gemma4-26b", "gemma4-31b", "gemma4-e2b", "gemma4-e4b"]:
     formatted_response = f"{response}<turn|>"
     return formatted_response
-  elif model_name in ["qwen3-omni-30b-a3b", "qwen3-vl-4b", "qwen3.5-35b-a3b", "qwen3.5-397b-a17b"]:
+  elif model_name in ["qwen3-omni-30b-a3b", "qwen3-vl-2b", "qwen3-vl-4b", "qwen3.5-35b-a3b", "qwen3.5-397b-a17b"]:
     formatted_response = f"{response}<|im_end|>"
     return formatted_response
   else:
@@ -158,7 +158,7 @@ def prepare_text_for_image_fusion(tokens, config, processor_output=None):
     from maxtext.multimodal.processor_llama4 import add_extra_tokens_for_images_llama4  # pylint: disable=import-outside-toplevel
 
     return add_extra_tokens_for_images_llama4(tokens, processor_output)
-  elif config.model_name in ["qwen3-omni-30b-a3b", "qwen3-vl-4b", "qwen3.5-35b-a3b", "qwen3.5-397b-a17b"]:
+  elif config.model_name in ["qwen3-omni-30b-a3b", "qwen3-vl-2b", "qwen3-vl-4b", "qwen3.5-35b-a3b", "qwen3.5-397b-a17b"]:
     from maxtext.multimodal.processor_qwen3_omni import add_extra_tokens_for_qwen3_omni  # pylint: disable=import-outside-toplevel
 
     return add_extra_tokens_for_qwen3_omni(tokens, config, processor_output)
@@ -222,7 +222,7 @@ def get_bidirectional_mask_vision(config, decoder_input_tokens, is_video: bool =
     from maxtext.multimodal.processor_llama4 import LLAMA4_PATCH_TOKEN  # pylint: disable=import-outside-toplevel
 
     bidirectional_mask_vision = decoder_input_tokens == LLAMA4_PATCH_TOKEN
-  elif config.model_name in ["qwen3-omni-30b-a3b", "qwen3-vl-4b", "qwen3.5-35b-a3b", "qwen3.5-397b-a17b"]:
+  elif config.model_name in ["qwen3-omni-30b-a3b", "qwen3-vl-2b", "qwen3-vl-4b", "qwen3.5-35b-a3b", "qwen3.5-397b-a17b"]:
     from maxtext.multimodal.processor_qwen3_omni import QwenTokens  # pylint: disable=import-outside-toplevel
 
     tokens = QwenTokens(config)

src/maxtext/utils/globals.py

@@ -63,6 +63,7 @@
     "qwen3-8b": "Qwen/Qwen3-8B",
     "qwen3-14b": "Qwen/Qwen3-14B",
     "qwen3-32b": "Qwen/Qwen3-32B",
+    "qwen3-vl-2b": "Qwen/Qwen3-VL-2B-Instruct",
     "qwen3-vl-4b": "Qwen/Qwen3-VL-4B-Instruct",
     "llama3.1-8b": "meta-llama/Llama-3.1-8B",
     "llama3.1-8b-Instruct": "meta-llama/Llama-3.1-8B-Instruct",