Update README.md

README.md

@@ -20,7 +20,7 @@ model-index:
 
 # LexSG - Singapore Legal Assistant Model
 
-A specialized AI assistant trained on Singapore statutes and legal documents, built on the Llama 3.1 8B Instruct architecture and optimized for legal text generation.
+A specialized AI assistant trained on Singapore statutes and subsidiary legislation, built on the Llama 3.1 8B Instruct architecture and optimized for legal text generation.
 
 ## Model Details
 
@@ -64,6 +64,7 @@ The model can be integrated into legal research tools, educational platforms, or
 ## Bias, Risks, and Limitations
 
 - **Training data limitations:** Responses are based on training data and may not reflect the most recent legal changes
+- **Legislation only:** Training data is Singapore statutes and subsidiary legislation only, without any Singapore legal cases
 - **Legal complexity:** Legal interpretations can be highly context-dependent and nuanced
 - **Professional consultation required:** Complex legal matters require consultation with qualified legal professionals
 - **Potential biases:** May reflect biases present in legal training data
@@ -74,14 +75,15 @@ Users should be made aware of the risks, biases and limitations of the model. Al
 
 ## How to Get Started with the Model
 
-### Ollama
+### llama.cpp/Ollama
 
-- 
-- [Ollama](https://ollama.com/) installed on your system
-- The model file `llama-3.1-8b-lexsg-q4_k_m.gguf` in the same directory
+The model file `llama-3.1-8b-lexsg-q4_k_m.gguf` is formatted in GGUF and can be used in any llama.cpp compatible library or application. 
+Specifically it has been tested in Ollama [Ollama](https://ollama.com/), with the given Modelfile
 
 ### Running the Model
 
+To use this with Ollama:
+
 1. Build the model from the Modelfile:
    ```bash
    ollama create lexsg -f Modelfile
@@ -127,9 +129,6 @@ The model was fine-tuned on Singapore legal documents and statutes, including bu
 - **Context length:** 4,096 tokens
 - **Max generation:** 1,024 tokens
 
-## Evaluation
-
-[Add evaluation results if available]
 
 ## Technical Specifications
 
@@ -143,28 +142,22 @@ The model was fine-tuned on Singapore legal documents and statutes, including bu
 - **Memory requirements:** ~6GB RAM recommended for inference
 - **Platform support:** Cross-platform via Ollama
 
-### Software
+### Inference parameters
+
+The following are the inference parameters in the model file. You can change it accordingly.
 
-- **Inference parameters:**
-  - Temperature: 0.3 (conservative, factual responses)
-  - Top-p: 0.9 (nucleus sampling for quality)
-  - Top-k: 40 (controlled vocabulary selection)
-  - Repeat penalty: 1.1 (reduces repetition)
+- Temperature: 0.3 (conservative, factual responses)
+- Top-p: 0.9 (nucleus sampling for quality)
+- Top-k: 40 (controlled vocabulary selection)
+- Repeat penalty: 1.1 (reduces repetition)
 
 ## Model Card Authors
 
 Chang Sau Sheong
 
-## Glossary
-
-- **Legal Assistant:** AI system designed to help with legal information and document understanding
-- **Singapore Law:** Legal framework and statutes specific to Singapore jurisdiction
-- **Quantization:** Model compression technique to reduce size while maintaining performance
-
 ## More Information
 
-For more details about Singapore legal system and regulations, refer to:
-- [Singapore Statutes Online](https://sso.agc.gov.sg/)
+For more details about Singapore legislation, refer to [Singapore Statutes Online](https://sso.agc.gov.sg/)
 
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