Update README.md

README.md

@@ -1,3 +1,44 @@
----
-license: openrail
----
+---
+language: en
+license: openrail
+datasets:
+- custom_pilgrims_dataset
+tags:
+- wizardlm
+- lora
+- finetuned
+- conversational
+- assistant
+pipeline_tag: text-generation
+---
+
+# WizardLM Fine-Tuned on Pilgrims Dataset
+
+This model is a fine-tuned version of [TheBloke/wizardLM-7B-HF](https://huggingface.co/TheBloke/wizardLM-7B-HF) using QLoRA on a custom dataset designed around spiritual, philosophical, and existential questions.
+
+---
+
+## Model Description
+
+- **Base Model:** WizardLM 7B (HF format)
+- **Fine-tuning Method:** QLoRA (Quantized Low-Rank Adaptation)
+- **Training Data:** Custom pilgrims dataset (e.g. `Vibe: Atheist\nQuestion: How can I...`)
+- **Intended Use:** Conversational assistant for users exploring personal meaning, spiritual identity, or philosophical reflection.
+
+---
+
+## Usage Example
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+model = AutoModelForCausalLM.from_pretrained("chaima01/wizard-pilgrims-finetuned")
+tokenizer = AutoTokenizer.from_pretrained("chaima01/wizard-pilgrims-finetuned")
+
+input_text = "#### Human: Vibe: Atheist\nQuestion: How can I really get to know who I am beyond all the labels and roles I’ve taken on?"
+inputs = tokenizer(input_text, return_tensors="pt").to(model.device)
+
+outputs = model.generate(
+    inputs.input_ids,
+    max_new_tokens=256,
+    temperature=0.7,