Update README.md

README.md

@@ -1,5 +1,6 @@
 ---
-base_model: unsloth/meta-llama-3.1-8b-instruct-unsloth-bnb-4bit
+base_model:
+- alibidaran/LLAMA3-instructive_reasoning
 tags:
 - text-generation-inference
 - transformers
@@ -9,14 +10,36 @@ tags:
 license: apache-2.0
 language:
 - en
+datasets:
+- adarshxs/Therapy-Alpaca
 ---
 
 # Uploaded  model
 
 - **Developed by:** alibidaran
 - **License:** apache-2.0
-- **Finetuned from model :** unsloth/meta-llama-3.1-8b-instruct-unsloth-bnb-4bit
+- **Finetuned from model :** alibidaran/LLAMA3-instructive_reasoning
 
-This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
+This model is Fined-tune with GRPO algorithm to make reasoning responses for mental health and consulting applications. 
+The following link illustrates how to design reward models to train our model with GRPO algorithm. 
 
-[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
+https://www.kaggle.com/code/alibidaran/reasoning-consueling
+### Direct Usages: 
+```python 
+messages = [
+    {'content':system_prompt,
+  'role': 'system'},
+    {"role": "user", "content": "I want to cut down drinking alchohol but when I am with my firends I need to drink. what should I do?"},
+]
+inputs = tokenizer.apply_chat_template(
+    messages,
+    tokenize = True,
+    add_generation_prompt = True, # Must add for generation
+    return_tensors = "pt",
+).to("cuda")
+
+from transformers import TextStreamer
+text_streamer = TextStreamer(tokenizer, skip_prompt = True)
+_ = model.generate(input_ids = inputs, streamer = text_streamer, max_new_tokens = 1024,
+                   use_cache = True, temperature = 0.7, min_p = 0.9)
+```