support tn/nn

vllm/model_executor/model_loader/utils.py

@@ -22,8 +22,9 @@ def set_default_torch_dtype(dtype: torch.dtype):
 def get_model_architecture(
         model_config: ModelConfig) -> Tuple[Type[nn.Module], str]:
     architectures = getattr(model_config.hf_config, "architectures", [])
-    if architectures == ['LlamaForCausalLM']:
-        os.environ['LLAMA_NN'] = '1'
+    if architectures == ['LlamaForCausalLM'] or architectures == ['ChatGLMModel'] or architectures == ['BaichuanForCausalLM']:
+        if os.getenv('LLAMA_NN') != '0': 
+            os.environ['LLAMA_NN'] = '1'
     # Special handling for quantized Mixtral.
     # FIXME(woosuk): This is a temporary hack.
     if (model_config.quantization is not None