edits to inference documentation and script for parameters

docs/source/Inference.md

@@ -42,7 +42,7 @@ $ bash scripts/download_openfold_params.sh $PARAMS_DIR
 
 We recommend selecting `openfold/resources` as the params directory as this is the default directory used by the `run_pretrained_openfold.py` to locate parameters. 
 
-If you choose to use a different directory, you may make a symlink to the `openfold/resources` directory, or specify an alternate parameter path with the command line argument `--jax_path` for AlphaFold parameters or `--openfold_checkpoint_path` for OpenFold parameters. 
+If you choose to use a different directory, you may make a symlink to the `openfold/resources` directory, or specify an alternate parameter path with the command line argument `--jax_param_path` for AlphaFold parameters or `--openfold_checkpoint_path` for OpenFold parameters. 
 
 
 ### Model Inference 

docs/source/Multimer_Inference.md

@@ -72,8 +72,7 @@ python3 run_pretrained_openfold.py \
     --output_dir ./ 
 ```
 
-Note that template searching in the multimer pipeline 
-uses HMMSearch with the PDB SeqRes database, replacing HHSearch and PDB70 used in the monomer pipeline.
-
-As with monomer inference, if you've already computed alignments for the query, you can use 
-the `--use_precomputed_alignments` option.
\ No newline at end of file
+**Notes:**
+- Template searching in the multimer pipeline uses HMMSearch with the PDB SeqRes database, replacing HHSearch and PDB70 used in the monomer pipeline.
+- As with monomer inference, if you've already computed alignments for the query, you can use the `--use_precomputed_alignments` option.
+- At this time, only AlphaFold parameter weights are available for multimer mode. 
\ No newline at end of file

run_pretrained_openfold.py

@@ -273,6 +273,11 @@ def main(args):
     seq_sort_fn = lambda target: sum([len(s) for s in target[1]])
     sorted_targets = sorted(zip(tag_list, seq_list), key=seq_sort_fn)
     feature_dicts = {}
+
+    if is_multimer and args.openfold_checkpoint_path:
+        raise ValueError(
+            '`openfold_checkpoint_path` was specified, but no OpenFold checkpoints are available for multimer mode')
+
     model_generator = load_models_from_command_line(
         config,
         args.model_device,