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README.md

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-license: mit
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+---
+license: mit
+---
+# MalayaLLM: Gemma-2 [മലയാളം/Malayalam]
+
+<img src="https://cdn-uploads.huggingface.co/production/uploads/64e65800e44b2668a56f9731/MztEunp8nG4Qy-LSds0SZ.png" alt="Baby MalayaLLM" width="300" height="200">
+
+# Introducing the Developer:
+Discover the mind behind this model and stay updated on their contributions to the field
+https://www.linkedin.com/in/vishnu-prasad-j/
+
+# Model description
+The MalayaLLM models have been improved and customized expanding upon the groundwork laid by the original Gemma-2 model.
+
+- **Model type:** A 9B Gemma-2 finetuned model on Malayalam tokens.
+- **Language(s):** Malayalam and English
+- **Datasets:**  [CohereForAI/aya_dataset](https://huggingface.co/datasets/CohereForAI/aya_dataset)
+- **Source Model:** [MalayaLLM_Gemma_2_9B_Base_V1.0](https://huggingface.co/VishnuPJ/MalayaLLM_Gemma_2_9B_Base_V1.0)
+- **Instruct Model:** [MalayaLLM_Gemma_2_9B_Instruct_V1.0](https://huggingface.co/VishnuPJ/MalayaLLM_Gemma_2_9B_Instruct_V1.0)
+- **Training Precision:** `float16`
+- **Code:** 
+
+# Old Model
+Gemma trained model is here :[MalayaLLM: Gemma-7B](https://huggingface.co/collections/VishnuPJ/malayallm-malayalam-gemma-7b-66851df5e809bed18c2abd25)
+
+## How to run GGUF
+
+  - #### llama.cpp Web Server
+    - The web server is a lightweight HTTP server that can be used to serve local models and easily connect them to existing clients.
+  - #### Building llama.cpp
+    - To build `llama.cpp` locally, follow the instructions provided in the [build documentation](https://github.com/ggerganov/llama.cpp/blob/master/docs/build.md).
+  - #### Running llama.cpp as a Web Server
+    - Once you have built `llama.cpp`, you can run it as a web server. Below is an example of how to start the server:
+        ```sh
+        llama-server.exe -m gemma_2_9b_instruction.Q4_K_M.gguf -ngl 42 -c 128 -n 100
+        ```
+  - #### Accessing the Web UI
+    - After starting the server, you can access the basic web UI via your browser at the following address:
+      [http://localhost:8080](http://localhost:8080)
+<img src="https://cdn-uploads.huggingface.co/production/uploads/64e65800e44b2668a56f9731/te7d5xjMrtk6RDMEAxmCy.png" alt="Baby MalayaLLM" width="600" height="1000">
+  
+
+## Made Using UNSLOTH
+
+Thanks to [Unsloth](https://github.com/unslothai/unsloth), the process of fine-tuning large language models (LLMs) has become much easier and more efficient.
+<img src="https://cdn-uploads.huggingface.co/production/uploads/64e65800e44b2668a56f9731/WPt_FKUWDdc6--l_Qnb-G.png" alt="Unsloth" width="300" height="200">
+
+# 🌟Happy coding💻🌟