Update README.md

README.md

@@ -12,22 +12,6 @@ language:
 datasets:
 - Yasbok/Alpaca_arabic_instruct
 ---
-First, Load the Model:
-from unsloth import FastLanguageModel
-import torch
-max_seq_length = 2048 # Choose any! We auto support RoPE Scaling internally!
-dtype = None # None for auto detection. Float16 for Tesla T4, V100, Bfloat16 for Ampere+
-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-4bit-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
-)
-
 # Uploaded  model
 
 - **Developed by:** Wajdi1976