Small fixes for supported models

docs/source/_toctree.yml

@@ -16,7 +16,7 @@
   - local: installation
     title: Installation from source
   - local: supported_models
-    title: Supported Models and Hardware
+    title: Supported Models
   - local: architecture
     title: Internal Architecture
   - local: usage_statistics

docs/source/supported_models.md

@@ -1,9 +1,7 @@
 
-# Supported Models and Hardware
+# Supported Models
 
-Text Generation Inference enables serving optimized models on specific hardware for the highest performance. The following sections list which models (VLMs & LLMs) are supported.
-
-## Supported Models
+Text Generation Inference enables serving optimized models. The following sections list which models (VLMs & LLMs) are supported.
 
 - [Deepseek V2](https://huggingface.co/deepseek-ai/DeepSeek-V2)
 - [Idefics 2](https://huggingface.co/HuggingFaceM4/idefics2-8b) (Multimodal)
@@ -36,17 +34,4 @@ Text Generation Inference enables serving optimized models on specific hardware
 - [Idefics](https://huggingface.co/HuggingFaceM4/idefics-9b) (Multimodal)
 
 
-If the above list lacks the model you would like to serve, depending on the model's pipeline type, you can try to initialize and serve the model anyways to see how well it performs, but performance isn't guaranteed for non-optimized models:
-
-```python
-# for causal LMs/text-generation models
-AutoModelForCausalLM.from_pretrained(<model>, device_map="auto")`
-# or, for text-to-text generation models
-AutoModelForSeq2SeqLM.from_pretrained(<model>, device_map="auto")
-```
-
-If you wish to serve a supported model that already exists on a local folder, just point to the local folder.
-
-```bash
-text-generation-launcher --model-id <PATH-TO-LOCAL-BLOOM>
-```
+If the above list lacks the model you would like to serve, depending on the model's pipeline type, you can try to initialize and serve the model anyways to see how well it performs, but performance isn't guaranteed for non-optimized models. Read more about [Non-core Model Serving](../basic_tutorials/non_core_models).

update_doc.py

@@ -5,13 +5,10 @@
 import os
 
 TEMPLATE = """
-# Supported Models and Hardware
+# Supported Models
 
-Text Generation Inference enables serving optimized models on specific hardware for the highest performance. The following sections list which models (VLMs & LLMs) are supported.
+Text Generation Inference enables serving optimized models. The following sections list which models (VLMs & LLMs) are supported.
 
-## Supported Models
-
-SUPPORTED_MODELS
 
 If the above list lacks the model you would like to serve, depending on the model's pipeline type, you can try to initialize and serve the model anyways to see how well it performs, but performance isn't guaranteed for non-optimized models: