Update README.md

README.md

@@ -16,6 +16,48 @@ language:
 - **Developed by:** alibidaran
 - **License:** apache-2.0
 - **Finetuned from model :** unsloth/meta-llama-3.1-8b-instruct-unsloth-bnb-4bit
+- **Finedtuned with SFT Algorithm**
+## Direct Usages: 
+from transformers import TextStreamer
+from unsloth import FastLanguageModel
+import torch
+max_seq_length = 2048 # Choose any! We auto support RoPE Scaling internally!
+dtype = 'Bfloat16' # None for auto detection. Float16 for Tesla T4, V100, Bfloat16 for Ampere+
+load_in_4bit = True
+model, tokenizer = FastLanguageModel.from_pretrained(
+    model_name ="alibidaran/LLAMA3-instructive_reasoning",
+    max_seq_length = max_seq_length,
+    #dtype = dtype,
+    load_in_4bit = load_in_4bit,
+    #fast_inference = True, # Enable vLLM fast inference
+    max_lora_rank = 128,
+    gpu_memory_utilization = 0.6, # Reduce if out of memory
+    # token = "hf_...", # use one if using gated models like meta-llama/Llama-2-7b-hf
+)
+FastLanguageModel.for_inference(model) # Enable native 2x faster inference
+system_prompt="""
+    You are a reasonable expert who thinks and answer the users question.
+    Before respond first think and create a chain of thoughts in your mind.
+    Then respond to the client.
+    Your chain of thought and reflection must be in <thinking>..</thinking> format and your respond
+    should be in the <output>..</output> format.
+    """
+
+messages = [
+    {'role':'system','content':system_prompt},
+    {"role": "user", "content":'How many r has the word of strawberry?' },
+
+]
+inputs = tokenizer.apply_chat_template(
+    messages,
+    tokenize = True,
+    add_generation_prompt = True, # Must add for generation
+    return_tensors = "pt",
+).to("cuda")
+
+text_streamer = TextStreamer(tokenizer, skip_prompt = True)
+_ = model.generate(input_ids = inputs, streamer = text_streamer, max_new_tokens =2048,
+                   use_cache = True, temperature = 0.7, min_p = 0.9)
 
 This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.