Update readme.md

README.md

@@ -10,7 +10,7 @@ tags:
 library_name: peft
 ---
 
-# 🚀 al-baka-llama3-8b
+# 🚀 al-baka-llama3-8b ( Lora Only)
 
 [<img src="https://i.ibb.co/fMsBM0M/Screenshot-2024-04-20-at-3-04-34-AM.png" width="150"/>](https://www.omarai.co)
 
@@ -28,8 +28,6 @@ Al Baka is an Fine Tuned Model based on the new released LLAMA3-8B Model on the
 
 - The model was fine-tuned in 4-bit precision using [unsloth](https://github.com/unslothai/unsloth)
 
-- The run is performed only for 1000 steps with a single Google Colab T4 GPU NVIDIA GPU with 15 GB of available memory.
-
 
 <span style="color:red">The model is currently being Experimentally Fine Tuned to assess LLaMA-3's response to Arabic, following a brief period of fine-tuning. Larger and more sophisticated models will be introduced soon.</span>
 
@@ -61,11 +59,11 @@ load_in_4bit = True # Use 4bit quantization to reduce memory usage. Can be False
 
 
 model, tokenizer = FastLanguageModel.from_pretrained(
-    model_name = "Omartificial-Intelligence-Space/al-baka-16bit-llama3-8b",
+    model_name = "Omartificial-Intelligence-Space/al-baka-Lora-llama3-8b",
     max_seq_length = max_seq_length,
     dtype = dtype,
     load_in_4bit = load_in_4bit,
-    # token = "hf_...", # use one if using gated models like meta-llama/Llama-2-7b-hf
+    # token = "hf_...", 
 )
 ```