diff --git a/examples/gemma3n/gemma-3n-e2b-qlora.yml b/examples/gemma3n/gemma-3n-e2b-qlora.yml
index ffc1da736..09504e14c 100644
--- a/examples/gemma3n/gemma-3n-e2b-qlora.yml
+++ b/examples/gemma3n/gemma-3n-e2b-qlora.yml
@@ -1,7 +1,5 @@
 base_model: google/gemma-3n-E2B-it
 
-model_type: AutoModelForCausalLM
-tokenizer_type: AutoTokenizer
 # Automatically upload checkpoint and final model to HF
 # hub_model_id: username/custom_model_name
 
@@ -18,8 +16,8 @@ load_in_4bit: true
   # - lm_head
   # - embed_tokens
 
-# huggingface repo
-# chat_template: gemma3
+
+chat_template: gemma3n
 eot_tokens:
   - <end_of_turn>
 datasets:
diff --git a/examples/gemma3n/gemma-3n-e2b-vision-qlora.yml b/examples/gemma3n/gemma-3n-e2b-vision-qlora.yml
new file mode 100644
index 000000000..d915a60b6
--- /dev/null
+++ b/examples/gemma3n/gemma-3n-e2b-vision-qlora.yml
@@ -0,0 +1,76 @@
+base_model: google/gemma-3n-E2B-it
+processor_type: AutoProcessor
+
+# Automatically upload checkpoint and final model to HF
+# hub_model_id: username/custom_model_name
+
+plugins:
+  - axolotl.integrations.cut_cross_entropy.CutCrossEntropyPlugin
+cut_cross_entropy: true
+
+# for use with fft to only train on language model layers
+# unfrozen_parameters:
+  # - model.language_model.*
+  # - lm_head
+  # - embed_tokens
+
+load_in_4bit: true
+
+# these 3 lines are needed for now to handle vision chat templates w images
+skip_prepare_dataset: true
+remove_unused_columns: false
+sample_packing: false
+
+# gemma3 doesn't seem to play nice with ddp
+ddp_find_unused_parameters: true
+
+chat_template: gemma3n
+eot_tokens:
+  - <end_of_turn>
+datasets:
+  - path: HuggingFaceH4/llava-instruct-mix-vsft
+    type: chat_template
+    split: train[:1%]
+    field_messages: messages
+dataset_prepared_path: last_run_prepared
+val_set_size: 0.01
+output_dir: ./outputs/out
+
+adapter: qlora
+lora_model_dir:
+
+sequence_len: 2048
+pad_to_sequence_len: false
+
+lora_r: 32
+lora_alpha: 16
+lora_dropout: 0.05
+lora_target_modules: 'model.language_model.layers.[\d]+.(mlp|self_attn).(up|down|gate|q|k|v|o)_proj'
+
+wandb_project:
+wandb_entity:
+wandb_watch:
+wandb_name:
+wandb_log_model:
+
+gradient_accumulation_steps: 4
+micro_batch_size: 2
+num_epochs: 1
+optimizer: adamw_bnb_8bit
+lr_scheduler: cosine
+learning_rate: 0.0002
+
+bf16: true
+fp16:
+tf32: true
+
+gradient_checkpointing: true
+gradient_checkpointing_kwargs:
+  use_reentrant: false
+logging_steps: 1
+# flash_attention: true  # Any attention impl does not work with gemma3n now
+
+warmup_ratio: 0.1
+evals_per_epoch: 1
+saves_per_epoch: 1
+weight_decay: 0.0
diff --git a/src/axolotl/loaders/constants.py b/src/axolotl/loaders/constants.py
index c08518dd6..c340c414c 100644
--- a/src/axolotl/loaders/constants.py
+++ b/src/axolotl/loaders/constants.py
@@ -2,6 +2,7 @@
 
 from transformers import (
     Gemma3ForConditionalGeneration,
+    Gemma3nForConditionalGeneration,
     Llama4ForConditionalGeneration,
     LlavaForConditionalGeneration,
     Mistral3ForConditionalGeneration,
@@ -18,4 +19,5 @@ MULTIMODAL_AUTO_MODEL_MAPPING = {
     "qwen2_5_vl": Qwen2_5_VLForConditionalGeneration,
     "mistral3": Mistral3ForConditionalGeneration,
     "gemma3": Gemma3ForConditionalGeneration,
+    "gemma3n": Gemma3nForConditionalGeneration,
 }
diff --git a/src/axolotl/processing_strategies.py b/src/axolotl/processing_strategies.py
index 080697400..f22e601d9 100644
--- a/src/axolotl/processing_strategies.py
+++ b/src/axolotl/processing_strategies.py
@@ -264,6 +264,26 @@ class Gemma3ProcessingStrategy(ProcessingStrategy):
         return labels
 
 
+class Gemma3nProcessingStrategy(ProcessingStrategy):
+    """Processing Strategy class for Gemma3n"""
+
+    def process_labels(self, input_ids):
+        labels = input_ids.clone()
+
+        # Follows https://colab.research.google.com/github/huggingface/huggingface-gemma-recipes/blob/main/notebooks/fine_tune_gemma3n_on_t4.ipynb
+        labels[labels == self.processor.tokenizer.pad_token_id] = -100
+        if hasattr(self.processor.tokenizer, "image_token_id"):
+            labels[labels == self.processor.tokenizer.image_token_id] = -100
+        if hasattr(self.processor.tokenizer, "audio_token_id"):
+            labels[labels == self.processor.tokenizer.audio_token_id] = -100
+        if hasattr(self.processor.tokenizer, "boi_token_id"):
+            labels[labels == self.processor.tokenizer.boi_token_id] = -100
+        if hasattr(self.processor.tokenizer, "eoi_token_id"):
+            labels[labels == self.processor.tokenizer.eoi_token_id] = -100
+
+        return labels
+
+
 def get_processing_strategy(
     processor: ProcessorMixin,
     chat_template,
@@ -279,6 +299,10 @@ def get_processing_strategy(
         return Gemma3ProcessingStrategy(
             processor, chat_template, image_size, image_resize_algorithm
         )
+    if chat_template_type == "gemma3n":
+        return Gemma3nProcessingStrategy(
+            processor, chat_template, image_size, image_resize_algorithm
+        )
     if chat_template_type in [
         "llama3_2_vision",
         "llama4",
diff --git a/src/axolotl/utils/chat_templates/templates/gemma3n.jinja b/src/axolotl/utils/chat_templates/templates/gemma3n.jinja
new file mode 100644
index 000000000..a0405ea9c
--- /dev/null
+++ b/src/axolotl/utils/chat_templates/templates/gemma3n.jinja
@@ -0,0 +1,49 @@
+{{ bos_token }}
+{%- if messages[0]['role'] == 'system' -%}
+    {%- if messages[0]['content'] is string -%}
+        {%- set first_user_prefix = messages[0]['content'] + '
+
+' -%}
+    {%- else -%}
+        {%- set first_user_prefix = messages[0]['content'][0]['text'] + '
+
+' -%}
+    {%- endif -%}
+    {%- set loop_messages = messages[1:] -%}
+{%- else -%}
+    {%- set first_user_prefix = "" -%}
+    {%- set loop_messages = messages -%}
+{%- endif -%}
+{%- for message in loop_messages -%}
+    {%- if (message['role'] == 'user') != (loop.index0 % 2 == 0) -%}
+        {{ raise_exception("Conversation roles must alternate user/assistant/user/assistant/...") }}
+    {%- endif -%}
+    {%- if (message['role'] == 'assistant') -%}
+        {%- set role = "model" -%}
+    {%- else -%}
+        {%- set role = message['role'] -%}
+    {%- endif -%}
+    {{ '<start_of_turn>' + role + '
+' + (first_user_prefix if loop.first else "") }}
+    {%- if message['content'] is string -%}
+        {{ message['content'] | trim }}
+    {%- elif message['content'] is iterable -%}
+        {%- for item in message['content'] -%}
+            {%- if item['type'] == 'audio' -%}
+                {{ '<audio_soft_token>' }}
+            {%- elif item['type'] == 'image' -%}
+                {{ '<image_soft_token>' }}
+            {%- elif item['type'] == 'text' -%}
+                {{ item['text'] | trim }}
+            {%- endif -%}
+        {%- endfor -%}
+    {%- else -%}
+        {{ raise_exception("Invalid content type") }}
+    {%- endif -%}
+    {{ '<end_of_turn>
+' }}
+{%- endfor -%}
+{%- if add_generation_prompt -%}
+    {{'<start_of_turn>model
+'}}
+{%- endif -%}
diff --git a/src/axolotl/utils/schemas/enums.py b/src/axolotl/utils/schemas/enums.py
index 67fc7a8a7..3c8828396 100644
--- a/src/axolotl/utils/schemas/enums.py
+++ b/src/axolotl/utils/schemas/enums.py
@@ -62,6 +62,7 @@ class ChatTemplate(str, Enum):
     llava = "llava"
     qwen2_vl = "qwen2_vl"
     gemma3 = "gemma3"
+    gemma3n = "gemma3n"
     command_a = "command_a"
     command_a_tool_use = "command_a_tool_use"
     command_a_rag = "command_a_rag"