diff --git a/vllm/config.py b/vllm/config.py
index 1f7147f7cfd41..181fa803c620b 100644
--- a/vllm/config.py
+++ b/vllm/config.py
@@ -1294,6 +1294,12 @@ class LoadConfig:
             "tensorizer" will use CoreWeave's tensorizer library for
                 fast weight loading.
             "bitsandbytes" will load nf4 type weights.
+            "sharded_state" will load weights from pre-sharded checkpoint files,
+                supporting efficient loading of tensor-parallel models.
+            "gguf" will load weights from GGUF format files.
+            "mistral" will load weights from consolidated safetensors files used
+                by Mistral models.
+            "runai_streamer" will load weights from RunAI streamer format files.
         model_loader_extra_config: The extra config for the model loader.
         ignore_patterns: The list of patterns to ignore when loading the model.
             Default to "original/**/*" to avoid repeated loading of llama's
diff --git a/vllm/engine/arg_utils.py b/vllm/engine/arg_utils.py
index edfa748b82d7b..e396e68f823d9 100644
--- a/vllm/engine/arg_utils.py
+++ b/vllm/engine/arg_utils.py
@@ -339,9 +339,15 @@ class EngineArgs:
             'CoreWeave. See the Tensorize vLLM Model script in the Examples '
             'section for more information.\n'
             '* "runai_streamer" will load the Safetensors weights using Run:ai'
-            'Model Streamer \n'
+            'Model Streamer.\n'
             '* "bitsandbytes" will load the weights using bitsandbytes '
-            'quantization.\n')
+            'quantization.\n'
+            '* "sharded_state" will load weights from pre-sharded checkpoint '
+            'files, supporting efficient loading of tensor-parallel models\n'
+            '* "gguf" will load weights from GGUF format files (details '
+            'specified in https://github.com/ggml-org/ggml/blob/master/docs/gguf.md).\n'
+            '* "mistral" will load weights from consolidated safetensors files '
+            'used by Mistral models.\n')
         parser.add_argument(
             '--config-format',
             default=EngineArgs.config_format,