Create README.md
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README.md
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---
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base_model: mesolitica/gemma-2B-16k-instructions
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inference: false
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model_creator: mesolitica
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model_name: Malaysian Gemma 2B 16k instructions (FPF on Malaysian context)
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model_type: mistral
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pipeline_tag: text-generation
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prompt_template: >-
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<start_of_turn>user
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kwsp tu apa?<end_of_turn>
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<start_of_turn>model
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quantized_by: prsyahmi
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tags:
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- finetuned
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---
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<!-- markdownlint-disable MD041 -->
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<!-- header start --><!-- header end -->
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# Malaysian Gemma 2B 16k instructions - GGUF
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- Model creator: [mesolotica](https://huggingface.co/mesolitica)
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- Original model: [Gemma 2B 16k instructions (FPF on Malaysian context)](https://huggingface.co/mesolitica/gemma-2B-16k-instructions)
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<!-- description start -->
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## Pengenalan
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Repo ini mengandungi model berformat GGUF, iaitu format kepada llama.cpp yang dibangunkan menggunakan C/C++ dimana aplikasi ini kurang kebergantungan dengan software/library lain menjadikan ia ringan berbanding rata-rata aplikasi python.
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<!-- description end -->
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<!-- prompt-template start -->
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## Prompt template: Gemma
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```
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<start_of_turn>user
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kwsp tu apa?<end_of_turn>
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<start_of_turn>model
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Kumpulan wang simpanan pekerja<end_of_turn>
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<start_of_turn>user
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kumpulan tu buat apa?<end_of_turn>
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<start_of_turn>model
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```
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<!-- prompt-template end -->
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<!-- README_GGUF.md-provided-files start -->
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## Fail yang diberikan
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Sila rujuk [Files and versions](https://huggingface.co/prsyahmi/malaysian-gemma-2B-16k-instructions-GGUF/tree/main)
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<!-- README_GGUF.md-provided-files end -->
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## Penghargaan
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Terima kasih kepada Husein Zolkepli dan keseluruhan team [mesolotica](https://huggingface.co/mesolitica)!
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Atas jasa mereka, kita dapat menggunakan atau mencuba AI peringkat tempatan.
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<!-- footer end -->
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-------
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<!-- original-model-card start -->
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<!-- original-model-card end -->
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