From 26c0a67851dfb3c4f0536d563d3bf2c56416640e Mon Sep 17 00:00:00 2001
From: Kye <kye@apacmediasolutions.com>
Date: Mon, 23 Oct 2023 18:51:42 -0400
Subject: [PATCH] contributing md

---
 README.md              | 2 +-
 swarms/models/llava.py | 8 ++++----
 2 files changed, 5 insertions(+), 5 deletions(-)

diff --git a/README.md b/README.md
index 0cfe49e8..fa70e755 100644
--- a/README.md
+++ b/README.md
@@ -163,7 +163,7 @@ For documentation, go here, [swarms.apac.ai](https://swarms.apac.ai)
 -----
 
 ## Contribute
-We're always looking for contributors to help us improve and expand this project. If you're interested, please check out our [Contributing Guidelines](C0NTRIBUTING.md).
+We're always looking for contributors to help us improve and expand this project. If you're interested, please check out our [Contributing Guidelines](CONTRIBUTING.md).
 
 ### Optimization Priorities
 
diff --git a/swarms/models/llava.py b/swarms/models/llava.py
index 67c0e4a7..6f8019bc 100644
--- a/swarms/models/llava.py
+++ b/swarms/models/llava.py
@@ -16,16 +16,17 @@ class MultiModalLlava:
         top_k: The top k value for sampling
         repetition_penalty: The repetition penalty for sampling
         device_map: The device map to use
-    
+
     Methods:
         __call__: Call the model
         chat: Interactive chat in terminal
-    
+
     Example:
         >>> from swarms.models.llava import LlavaModel
         >>> model = LlavaModel(device="cpu")
         >>> model("Hello, I am a robot.")
     """
+
     def __init__(
         self,
         model_name_or_path="TheBloke/llava-v1.5-13B-GPTQ",
@@ -37,7 +38,7 @@ class MultiModalLlava:
         top_p=0.95,
         top_k=40,
         repetition_penalty=1.1,
-        device_map: str = "auto"
+        device_map: str = "auto",
     ):
         self.device = device
         self.model = AutoModelForCausalLM.from_pretrained(
@@ -76,4 +77,3 @@ class MultiModalLlava:
                 break
             response = self(user_input)
             print(f"Model: {response}")
-