Update README.md

Mark up corrections, added unzip

README.md

@@ -1,69 +1,79 @@
----
-license: mit
-tags:
-- coreml
-- ANE
-- DeepSeek
-- Apple
----
-ANEMLL
-
-ANEMLL (pronounced like “animal”) is an open-source project
-focused on accelerating the porting of Large Language Models (LLMs)
-to tensor processors, starting with the Apple Neural Engine (ANE).
-
-The goal is to provide a fully open-source pipeline
-from model conversion to inference for common LLM architectures
-running on ANE.
-
-This enables seamless integration and on-device inference
-for low-power applications on edge devices,
-ensuring maximum privacy and security.
-
-This is critical for autonomous applications,
-where models run directly on the device
-without requiring an internet connection.
-
-License
-
-ANEMLL is licensed under the MIT License.
-https://opensource.org/license/mit
-The model is based on Meta’s LLaMA 3.1 8B architecture and may require a separate license.
+---
+license: mit
+tags:
+- coreml
+- ANE
+- DeepSeek
+- Apple
+- Apple Neural Engine
+---
+# ANEMLL
+
+**ANEMLL** (pronounced like “animal”) is an open-source project focused on accelerating the porting of Large Language Models (LLMs) to tensor processors, starting with the Apple Neural Engine (ANE).
+
+The goal is to provide a fully open-source pipeline from model conversion to inference for common LLM architectures running on ANE.
+
+This enables seamless integration and on-device inference for low-power applications on edge devices, ensuring maximum privacy and security.
 
+This is critical for autonomous applications, where models run directly on the device without requiring an internet connection.
 
+---
+
+## License
+
+ANEMLL is licensed under the [MIT License](https://opensource.org/license/mit).  
+The model is based on Meta’s LLaMA 3.1 8B architecture and may require a separate license.
 
-This test model is exclusively for the DeepSeek R1 8B model converted for CoreML,
-released before the official launch of the ANEMLL repository and minimal documentation.
+This test model is exclusively for the Meta's LLaMA 3.2 1B (1024 context) model converted for CoreML,
+released before the official launch of the ANEMLL repository and minimal documentation. 
 It is intended for early adopters only who requested an early release.
 
+---
 
-Requirements
-	•	macOS Sequoia with Apple Neural Engine and 16GB RAM
-    •	CoreML Tools and HuggingFace Transformers libraries 
-    •	Python 3.9
+## Requirements
 
-chat.py provides a sample inference script.
-We apologize for the current quality of chat.py and appreciate your patience.
+- **macOS Sequoia** with Apple Neural Engine and 16GB RAM
+- **CoreML Tools** and **HuggingFace Transformers** libraries 
+- **Python 3.9**
 
+`chat.py` provides a sample inference script.  
+*We apologize for the current quality of `chat.py` and appreciate your patience.*
 
-Prerequisites:
+**Installation**
+
+Unzip all ZIP files with CoreML Models files using Finder or via bash 
+```bash
+cd ./anemll-DeepSeek-8B-ctx1024
+find . -type f -name "*.zip" -exec unzip {} \;
+```
+
+```bash
 pip install coremltools transformers
+```
+
+**How to RUN:**
 
-How to RUN:
 python chat.py 
 
 Ctr-D to exit, Ctr-C to interrupt inference.
 
-alternative way to run:
+**Alternative way to run:**
+
+```bash
 python chat.py Q123 -d /path/to/anemll-DeepSeek-8B-ctx1024 ctx=1024
 
+```
+
 The first time the model loads, macOS will take some time to place it on the device.
 Subsequent loads will be instantaneous.
 
+
+** More Info ** 
 Please check following links for later updates:
-https://huggingface.co/anemll
-https://x.com/anemll
-https://github.com/anemll
-https://anemll.com
 
-realanemll@gmail.com
+	•	https://huggingface.co/anemll
+	•	https://x.com/anemll
+	•	https://github.com/anemll
+	•	https://anemll.com
+
+[email protected]