Allow TGI adaptor to have non-standard llama model names

llama_stack/providers/adapters/inference/tgi/tgi.py

@@ -50,16 +50,6 @@ class TGIAdapter(Inference):
                 raise RuntimeError("Missing max_total_tokens in model info")
             self.max_tokens = info["max_total_tokens"]
 
-            model_id = info["model_id"]
-            model_name = next(
-                (name for name, id in HF_SUPPORTED_MODELS.items() if id == model_id),
-                None,
-            )
-            if model_name is None:
-                raise RuntimeError(
-                    f"TGI is serving model: {model_id}, use one of the supported models: {', '.join(HF_SUPPORTED_MODELS.values())}"
-                )
-            self.model_name = model_name
             self.inference_url = info["inference_url"]
         except Exception as e:
             import traceback
@@ -116,10 +106,6 @@ class TGIAdapter(Inference):
 
         print(f"Calculated max_new_tokens: {max_new_tokens}")
 
-        assert (
-            request.model == self.model_name
-        ), f"Model mismatch, expected {self.model_name}, got {request.model}"
-
         options = self.get_chat_options(request)
         if not request.stream:
             response = self.client.text_generation(