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--- |
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license: mit |
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language: |
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- ml |
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--- |
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# MalayaLLM: Gemma-2 [മലയാളം/Malayalam] |
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<img src="https://cdn-uploads.huggingface.co/production/uploads/64e65800e44b2668a56f9731/MztEunp8nG4Qy-LSds0SZ.png" alt="Baby MalayaLLM" width="300" height="200"> |
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# Introducing the Developer: |
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Discover the mind behind this model and stay updated on their contributions to the field |
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https://www.linkedin.com/in/vishnu-prasad-j/ |
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# Model description |
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The MalayaLLM models have been improved and customized expanding upon the groundwork laid by the original Gemma-2 model. |
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- **Model type:** A 9B Gemma-2 finetuned model on Malayalam tokens. |
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- **Language(s):** Malayalam and English |
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- **Datasets:** [CohereForAI/aya_dataset](https://huggingface.co./datasets/CohereForAI/aya_dataset) |
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- **Source Model:** [MalayaLLM_Gemma_2_9B_Base_V1.0](https://huggingface.co./VishnuPJ/MalayaLLM_Gemma_2_9B_Base_V1.0) |
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- **Instruct Model:** [MalayaLLM_Gemma_2_9B_Instruct_V1.0](https://huggingface.co./VishnuPJ/MalayaLLM_Gemma_2_9B_Instruct_V1.0) |
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- **Training Precision:** `float16` |
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- **Github Repo:** [MalayaLLM-Gemma2-9B](https://github.com/VishnuPJ/MalayaLLM-Gemma2-9B) |
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# Old Model |
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Gemma trained model is here :[MalayaLLM: Gemma-7B](https://huggingface.co./collections/VishnuPJ/malayallm-malayalam-gemma-7b-66851df5e809bed18c2abd25) |
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## How to run GGUF |
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- #### llama.cpp Web Server |
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- The web server is a lightweight HTTP server that can be used to serve local models and easily connect them to existing clients. |
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- #### Building llama.cpp |
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- To build `llama.cpp` locally, follow the instructions provided in the [build documentation](https://github.com/ggerganov/llama.cpp/blob/master/docs/build.md). |
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- #### Running llama.cpp as a Web Server |
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- Once you have built `llama.cpp`, you can run it as a web server. Below is an example of how to start the server: |
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```sh |
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llama-server.exe -m gemma_2_9b_instruction.Q4_K_M.gguf -ngl 42 -c 128 -n 100 |
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``` |
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- #### Accessing the Web UI |
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- After starting the server, you can access the basic web UI via your browser at the following address: |
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[http://localhost:8080](http://localhost:8080) |
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<img src="https://cdn-uploads.huggingface.co/production/uploads/64e65800e44b2668a56f9731/te7d5xjMrtk6RDMEAxmCy.png" alt="Baby MalayaLLM" width="600" height="1000"> |
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## Made Using UNSLOTH |
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Thanks to [Unsloth](https://github.com/unslothai/unsloth), the process of fine-tuning large language models (LLMs) has become much easier and more efficient. |
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<img src="https://cdn-uploads.huggingface.co/production/uploads/64e65800e44b2668a56f9731/WPt_FKUWDdc6--l_Qnb-G.png" alt="Unsloth" width="300" height="200"> |
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# 🌟Happy coding💻🌟 |
