diff --git a/mjc_notes.md b/mjc_notes.md
index 30f5218..5565460 100644
--- a/mjc_notes.md
+++ b/mjc_notes.md
@@ -55,10 +55,10 @@ python scripts/download-model.py tloen/alpaca-lora-7b
 python scripts/download-model.py decapoda-research/llama-7b-hf
 
 # convert
-python scripts/export_hf_checkpoint.py ./models/decapoda-research_llama-7b-hf -l loras/tloen_alpaca-lora-7b
-python scripts/export_hf_checkpoint.py ./models/decapoda-research_llama-13b-hf -l loras/chansung_alpaca-lora-13b # crash! 50GB+ needed
-python scripts/export_hf_checkpoint.py ./models/decapoda-research_llama-30b-hf -l loras/chansung_alpaca-lora-30b
-python scripts/export_hf_checkpoint.py ./models/decapoda-research_llama-60b-hf -l loras/chansung_alpaca-lora-60b
+python scripts/01_export_hf_checkpoint.py ./models/decapoda-research_llama-7b-hf -l loras/tloen_alpaca-lora-7b
+python scripts/01_export_hf_checkpoint.py ./models/decapoda-research_llama-13b-hf -l loras/chansung_alpaca-lora-13b # crash! 50GB+ needed
+python scripts/01_export_hf_checkpoint.py ./models/decapoda-research_llama-30b-hf -l loras/chansung_alpaca-lora-30b
+python scripts/01_export_hf_checkpoint.py ./models/decapoda-research_llama-60b-hf -l loras/chansung_alpaca-lora-60b
 
 # test
 python scripts/test_01_delora.py models/tloen_alpaca-lora-7b-delorified
@@ -66,6 +66,7 @@ python scripts/test_01_delora.py models/chansung_alpaca-lora-13b-delorified
 # now compare what was generated during conversion `test_prompts.txt`, to the loaded version
 
 # 4bit...
+CUDA_VISIBLE_DEVICES=0 python llama.py ./models/tloen_alpaca-lora-7b-delorified c4 --wbits 4 --true-sequential --act-order --groupsize 128 --save_safetensors ./models/tloen_alpaca-lora-7b-delorified/llama7b-4bit-128g.safetensors
 
 # ggml conversion...
 ```
diff --git a/scripts/export_hf_checkpoint.py b/scripts/01_export_hf_checkpoint.py
similarity index 77%
rename from scripts/export_hf_checkpoint.py
rename to scripts/01_export_hf_checkpoint.py
index ac89e23..b959890 100644
--- a/scripts/export_hf_checkpoint.py
+++ b/scripts/01_export_hf_checkpoint.py
@@ -14,17 +14,6 @@ def main(BASE_MODEL, LORA_MODEL, output_path=None):
     if output_path is None:
         output_path = 'models/' + LORA_MODEL.split('/')[-1] + '-delorified'
 
-    # BASE_MODEL = os.environ.get("BASE_MODEL", None)
-    # assert (
-    #     BASE_MODEL
-    # ), "Please specify a value for BASE_MODEL environment variable, e.g. `export BASE_MODEL=huggyllama/llama-7b`"  # noqa: E501
-
-
-    # LORA_MODEL = os.environ.get("BASE_MODEL", None)
-    # assert (
-    #     LORA_MODEL
-    # ), "Please specify a value for LORA_MODEL environment variable, e.g. `export BASE_MODEL=tloen/alpaca-lora-7b`"  # noqa: E501
-
     tokenizer = LlamaTokenizer.from_pretrained(BASE_MODEL)
 
     base_model = LlamaForCausalLM.from_pretrained(
@@ -33,8 +22,6 @@ def main(BASE_MODEL, LORA_MODEL, output_path=None):
         torch_dtype=torch.float16,
         device_map={"": "cpu"},
     )
-    
-    # TODO or load 4 bit?
 
     first_weight = base_model.model.layers[0].self_attn.q_proj.weight
     first_weight_old = first_weight.clone()
@@ -70,9 +57,8 @@ def main(BASE_MODEL, LORA_MODEL, output_path=None):
     LlamaForCausalLM.save_pretrained(
         base_model, output_path, state_dict=deloreanized_sd, max_shard_size="400MB"
     )
-    print(f'output {output_path}')
     LlamaTokenizer.save_pretrained(tokenizer, output_path)
-    # FIXME also save tokenizer
+    print(f'output {output_path}')
     
     from alpaca_convert.test import test_conversation
     o = test_conversation(lora_model.float(), tokenizer)
@@ -83,10 +69,10 @@ def main(BASE_MODEL, LORA_MODEL, output_path=None):
 
 if __name__=="__main__":
     parser = argparse.ArgumentParser()
-    parser.add_argument('model', type=str)
-    parser.add_argument('-l', '--lora', type=str, default='main', help='Lora repo or path e.g. `tloen/alpaca-lora-7b`')
+    parser.add_argument('model', type=str, help='Huggingface model e.g. `./models/decapoda-research_llama-7b-hf`')
+    parser.add_argument('-l', '--lora', type=str, default='main', help='Lora repo or path e.g. `tloen/alpaca-lora-7b` or `./loras/tloen_alpaca-lora-7b`')
     parser.add_argument('-o', '--output', type=Path, default=None)
-    "e.g. ./hf_ckpt. default will be lora name"
+    "if None default will be `./models/tloen_alpaca-lora-7b_delorafied` or similar"
     args = parser.parse_args()
     main(args.model, args.lora, args.output)