diff --git a/docs/LLaMA-model.md b/docs/LLaMA-model.md
index 6706b16d..36e9c305 100644
--- a/docs/LLaMA-model.md
+++ b/docs/LLaMA-model.md
@@ -28,17 +28,15 @@ Once downloaded, it will be automatically applied to **every** `LlamaForCausalLM
 pip install protobuf==3.20.1
 ```
 
-2. Use the script below to convert the model in `.pth` format that you, a fellow academic, downloaded using Meta's official link:
+2. Use the script below to convert the model in `.pth` format that you, a fellow academic, downloaded using Meta's official link.
 
-### Convert LLaMA to HuggingFace format
-
-If you have `transformers` installed in place
+If you have `transformers` installed in place:
 
 ```
 python -m transformers.models.llama.convert_llama_weights_to_hf --input_dir /path/to/LLaMA --model_size 7B --output_dir /tmp/outputs/llama-7b
 ```
 
-Otherwise download script [convert_llama_weights_to_hf.py](https://github.com/huggingface/transformers/blob/main/src/transformers/models/llama/convert_llama_weights_to_hf.py)
+Otherwise download [convert_llama_weights_to_hf.py](https://github.com/huggingface/transformers/blob/main/src/transformers/models/llama/convert_llama_weights_to_hf.py) first and run:
 
 ```
 python convert_llama_weights_to_hf.py --input_dir /path/to/LLaMA --model_size 7B --output_dir /tmp/outputs/llama-7b
diff --git a/extensions/api/blocking_api.py b/extensions/api/blocking_api.py
index c787cd0f..0d228880 100644
--- a/extensions/api/blocking_api.py
+++ b/extensions/api/blocking_api.py
@@ -5,12 +5,14 @@ from threading import Thread
 from extensions.api.util import build_parameters, try_start_cloudflared
 from modules import shared
 from modules.chat import generate_chat_reply
-from modules.text_generation import encode, generate_reply, stop_everything_event
-from modules.models import load_model, unload_model
 from modules.LoRA import add_lora_to_model
+from modules.models import load_model, unload_model
+from modules.text_generation import (encode, generate_reply,
+                                     stop_everything_event)
 from modules.utils import get_available_models
 from server import get_model_specific_settings, update_model_parameters
 
+
 def get_model_info():
     return {
         'model_name': shared.model_name,