diff --git a/docs/my-website/docs/providers/vertex_partner.md b/docs/my-website/docs/providers/vertex_partner.md
index 856f054b8e6..fc2f4d3d8b1 100644
--- a/docs/my-website/docs/providers/vertex_partner.md
+++ b/docs/my-website/docs/providers/vertex_partner.md
@@ -3,7 +3,7 @@ import Tabs from '@theme/Tabs';
import TabItem from '@theme/TabItem';
-# Vertex AI - Anthropic, DeepSeek, Model Garden
+# Vertex AI - Partner Models
## Supported Partner Providers
@@ -16,7 +16,6 @@ import TabItem from '@theme/TabItem';
| AI21 (Jamba) | `vertex_ai/jamba-*` | [Vertex AI - AI21 Models](https://cloud.google.com/vertex-ai/generative-ai/docs/partner-models/ai21) |
| Qwen | `vertex_ai/qwen/*` | [Vertex AI - Qwen Models](https://cloud.google.com/vertex-ai/generative-ai/docs/maas/qwen) |
| OpenAI (GPT-OSS) | `vertex_ai/openai/gpt-oss-*` | [Vertex AI - GPT-OSS Models](https://console.cloud.google.com/vertex-ai/publishers/openai/model-garden/) |
-| Model Garden | `vertex_ai/openai/{MODEL_ID}` or `vertex_ai/{MODEL_ID}` | [Vertex Model Garden](https://cloud.google.com/model-garden?hl=en) |
## Vertex AI - Anthropic (Claude)
@@ -793,112 +792,3 @@ curl http://0.0.0.0:4000/v1/chat/completions \
-
-## Model Garden
-
-:::tip
-
-All OpenAI compatible models from Vertex Model Garden are supported.
-
-:::
-
-#### Using Model Garden
-
-**Almost all Vertex Model Garden models are OpenAI compatible.**
-
-
-
-
-
-| Property | Details |
-|----------|---------|
-| Provider Route | `vertex_ai/openai/{MODEL_ID}` |
-| Vertex Documentation | [Model Garden LiteLLM Inference](https://github.com/GoogleCloudPlatform/generative-ai/blob/main/open-models/use-cases/model_garden_litellm_inference.ipynb), [Vertex Model Garden](https://cloud.google.com/model-garden?hl=en) |
-| Supported Operations | `/chat/completions`, `/embeddings` |
-
-
-
-
-```python
-from litellm import completion
-import os
-
-## set ENV variables
-os.environ["VERTEXAI_PROJECT"] = "hardy-device-38811"
-os.environ["VERTEXAI_LOCATION"] = "us-central1"
-
-response = completion(
- model="vertex_ai/openai/",
- messages=[{ "content": "Hello, how are you?","role": "user"}]
-)
-```
-
-
-
-
-
-
-**1. Add to config**
-
-```yaml
-model_list:
- - model_name: llama3-1-8b-instruct
- litellm_params:
- model: vertex_ai/openai/5464397967697903616
- vertex_ai_project: "my-test-project"
- vertex_ai_location: "us-east-1"
-```
-
-**2. Start proxy**
-
-```bash
-litellm --config /path/to/config.yaml
-
-# RUNNING at http://0.0.0.0:4000
-```
-
-**3. Test it!**
-
-```bash
-curl --location 'http://0.0.0.0:4000/chat/completions' \
- --header 'Authorization: Bearer sk-1234' \
- --header 'Content-Type: application/json' \
- --data '{
- "model": "llama3-1-8b-instruct", # 👈 the 'model_name' in config
- "messages": [
- {
- "role": "user",
- "content": "what llm are you"
- }
- ],
- }'
-```
-
-
-
-
-
-
-
-
-
-
-
-
-```python
-from litellm import completion
-import os
-
-## set ENV variables
-os.environ["VERTEXAI_PROJECT"] = "hardy-device-38811"
-os.environ["VERTEXAI_LOCATION"] = "us-central1"
-
-response = completion(
- model="vertex_ai/",
- messages=[{ "content": "Hello, how are you?","role": "user"}]
-)
-```
-
-
-
-
diff --git a/docs/my-website/docs/providers/vertex_self_deployed.md b/docs/my-website/docs/providers/vertex_self_deployed.md
new file mode 100644
index 00000000000..f7e7f181f58
--- /dev/null
+++ b/docs/my-website/docs/providers/vertex_self_deployed.md
@@ -0,0 +1,180 @@
+import Tabs from '@theme/Tabs';
+import TabItem from '@theme/TabItem';
+
+# Vertex AI - Self Deployed Models
+
+Deploy and use your own models on Vertex AI through Model Garden or custom endpoints.
+
+## Model Garden
+
+:::tip
+
+All OpenAI compatible models from Vertex Model Garden are supported.
+
+:::
+
+### Using Model Garden
+
+**Almost all Vertex Model Garden models are OpenAI compatible.**
+
+
+
+
+
+| Property | Details |
+|----------|---------|
+| Provider Route | `vertex_ai/openai/{MODEL_ID}` |
+| Vertex Documentation | [Model Garden LiteLLM Inference](https://github.com/GoogleCloudPlatform/generative-ai/blob/main/open-models/use-cases/model_garden_litellm_inference.ipynb), [Vertex Model Garden](https://cloud.google.com/model-garden?hl=en) |
+| Supported Operations | `/chat/completions`, `/embeddings` |
+
+
+
+
+```python
+from litellm import completion
+import os
+
+## set ENV variables
+os.environ["VERTEXAI_PROJECT"] = "hardy-device-38811"
+os.environ["VERTEXAI_LOCATION"] = "us-central1"
+
+response = completion(
+ model="vertex_ai/openai/",
+ messages=[{ "content": "Hello, how are you?","role": "user"}]
+)
+```
+
+
+
+
+
+
+**1. Add to config**
+
+```yaml
+model_list:
+ - model_name: llama3-1-8b-instruct
+ litellm_params:
+ model: vertex_ai/openai/5464397967697903616
+ vertex_ai_project: "my-test-project"
+ vertex_ai_location: "us-east-1"
+```
+
+**2. Start proxy**
+
+```bash
+litellm --config /path/to/config.yaml
+
+# RUNNING at http://0.0.0.0:4000
+```
+
+**3. Test it!**
+
+```bash
+curl --location 'http://0.0.0.0:4000/chat/completions' \
+ --header 'Authorization: Bearer sk-1234' \
+ --header 'Content-Type: application/json' \
+ --data '{
+ "model": "llama3-1-8b-instruct", # 👈 the 'model_name' in config
+ "messages": [
+ {
+ "role": "user",
+ "content": "what llm are you"
+ }
+ ],
+ }'
+```
+
+
+
+
+
+
+
+
+
+
+
+
+```python
+from litellm import completion
+import os
+
+## set ENV variables
+os.environ["VERTEXAI_PROJECT"] = "hardy-device-38811"
+os.environ["VERTEXAI_LOCATION"] = "us-central1"
+
+response = completion(
+ model="vertex_ai/",
+ messages=[{ "content": "Hello, how are you?","role": "user"}]
+)
+```
+
+
+
+
+
+## Gemma Models (Custom Endpoints)
+
+Deploy Gemma models on custom Vertex AI prediction endpoints with OpenAI-compatible format.
+
+| Property | Details |
+|----------|---------|
+| Provider Route | `vertex_ai/gemma/{MODEL_NAME}` |
+| Vertex Documentation | [Vertex AI Prediction](https://cloud.google.com/vertex-ai/docs/predictions/get-predictions) |
+| Required Parameter | `api_base` - Full prediction endpoint URL |
+
+### Usage
+
+
+
+
+**1. Add to config.yaml**
+
+```yaml
+model_list:
+ - model_name: gemma-model
+ litellm_params:
+ model: vertex_ai/gemma/gemma-3-12b-it-1759525599171
+ api_base: https://ENDPOINT.us-central1-PROJECT.prediction.vertexai.goog/v1/projects/PROJECT_ID/locations/us-central1/endpoints/ENDPOINT_ID:predict
+ vertex_project: "my-project-id"
+ vertex_location: "us-central1"
+```
+
+**2. Start proxy**
+
+```bash
+litellm --config /path/to/config.yaml
+```
+
+**3. Test it**
+
+```bash
+curl http://0.0.0.0:4000/v1/chat/completions \
+ -H "Content-Type: application/json" \
+ -H "Authorization: Bearer sk-1234" \
+ -d '{
+ "model": "gemma-model",
+ "messages": [{"role": "user", "content": "What is machine learning?"}],
+ "max_tokens": 100
+ }'
+```
+
+
+
+
+
+```python
+from litellm import completion
+
+response = completion(
+ model="vertex_ai/gemma/gemma-3-12b-it-1759525599171",
+ messages=[{"role": "user", "content": "What is machine learning?"}],
+ api_base="https://ENDPOINT.us-central1-PROJECT.prediction.vertexai.goog/v1/projects/PROJECT_ID/locations/us-central1/endpoints/ENDPOINT_ID:predict",
+ vertex_project="my-project-id",
+ vertex_location="us-central1",
+)
+```
+
+
+