Update README.md

README.md

@@ -1,22 +1,51 @@
 ---
+license: apache-2.0
 base_model: unsloth/llama-3-8b-bnb-4bit
 tags:
-- text-generation-inference
-- transformers
 - unsloth
-- llama
 - trl
-license: apache-2.0
-language:
-- en
+- lora
+- ethics
+- compliance
+- gdpr
+- transformers
+- gradio
+- safetensors
+model-index:
+- name: PrismAI-Llama-Risk-Monitor
+  results: []
+datasets:
+- coastalcph/lex_glue
+- ai4privacy/pii-masking-65k
+- Anthropic/hh-rlhf
 ---
 
-# Uploaded  model
+# PrismAI: Llama-Risk-Complaint
+
+This model is a fine-tuned version of Llama-3-8B optimized for **Corporate Compliance and Ethical Monitoring**. 
+
+## Model Description
+PrismAI is trained to identify and mitigate risks associated with:
+- **GDPR Violations:** Accidental sharing of PII (Names, Addresses, ID numbers).
+- **Workplace Ethics:** Unconscious bias in hiring or management communication.
+- **Legal Risks:** Improper handling of "Opt-out" lists or internal secrets.
+
+## Training Procedure
+- **Library:** Unsloth & PEFT
+- **Hardware:** NVIDIA T4 GPU
+- **Quantization:** 4-bit (bitsandbytes)
+- **Method:** Supervised Fine-Tuning (SFT)
+
+## Use Case Examples
+**Input:** "I'm sending Sarah's home address (123 Maple St) to the external marketing vendor."
+**Output:** "🛡️ Risk Detected: PII exposure. Ensure Sarah's consent is documented and use a secure encrypted channel for home address sharing."
 
-- **Developed by:** nirmanpatel
-- **License:** apache-2.0
-- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
+## How to use
+```python
+from unsloth import FastLanguageModel
+model, tokenizer = FastLanguageModel.from_pretrained("nirmanpatel/llama-risk-compliant")
+```
 
 This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth)
 
-[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
+[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)