Create README.md
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README.md
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---
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base_model: mesolitica/malaysian-mistral-7b-32k-instructions-v2
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inference: false
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model_creator: mesolitica
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model_name: Malaysian Mistral 7B 32k Instructions v2
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model_type: mistral
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pipeline_tag: text-generation
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prompt_template: '<s>[INST] {prompt} [/INST]
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'
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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 Mistral 7B 32k Instructions - GGUF
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- Model creator: [mesolotica](https://huggingface.co/mesolitica)
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- Original model: [Malaysian Mistral 7B 32k Instructions v2](https://huggingface.co/mesolitica/malaysian-mistral-7b-32k-instructions-v2)
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<!-- description start -->
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## Pengenalan
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Repo ini mengandungi model berformat GGUF untuk [mesolitica's Malaysian Mistral 7B 32k Instructions v2](https://huggingface.co/mesolitica/malaysian-mistral-7b-32k-instructions-v2).
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GGUF adalah format kepada llama.cpp yang dibangunkan menggunakan C/C++ dimana pergantungan dengan software/library lain kurang menjadikan aplikasi ini 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: Mistral
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```
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<s>[INST] {prompt} [/INST]
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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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| Nama | Kaedah Quant | Saiz Fail |
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| ---- | ---- | ---- |
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| [malaysian-mistral-7b-32k-instructions-v2-ckpt-1700.Q2_K.gguf](https://huggingface.co/prsyahmi/malaysian-mistral-7b-32k-instructions-v2-ckpt-1700-GGUF/blob/main/malaysian-mistral-7b-32k-instructions-v2-ckpt-1700.Q2_K.gguf) | Q2_K | 2.86 GB |
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| [malaysian-mistral-7b-32k-instructions-v2-ckpt-1700.Q3_K_M.gguf](https://huggingface.co/prsyahmi/malaysian-mistral-7b-32k-instructions-v2-ckpt-1700-GGUF/blob/main/malaysian-mistral-7b-32k-instructions-v2-ckpt-1700.Q3_K_M.gguf) | Q3_K_M | 3.27 GB |
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| [malaysian-mistral-7b-32k-instructions-v2-ckpt-1700.Q4_K_S.gguf](https://huggingface.co/prsyahmi/malaysian-mistral-7b-32k-instructions-v2-ckpt-1700-GGUF/blob/main/malaysian-mistral-7b-32k-instructions-v2-ckpt-1700.Q4_K_S.gguf) | Q4_K_S | 3.86 GB |
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| [malaysian-mistral-7b-32k-instructions-v2-ckpt-1700.Q4_K_M.gguf](https://huggingface.co/prsyahmi/malaysian-mistral-7b-32k-instructions-v2-ckpt-1700-GGUF/blob/main/malaysian-mistral-7b-32k-instructions-v2-ckpt-1700.Q4_K_M.gguf) | Q4_K_M | 4.06 GB |
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| [malaysian-mistral-7b-32k-instructions-v2-ckpt-1700.Q5_K_M.gguf](https://huggingface.co/prsyahmi/malaysian-mistral-7b-32k-instructions-v2-ckpt-1700-GGUF/blob/main/malaysian-mistral-7b-32k-instructions-v2-ckpt-1700.Q5_K_M.gguf) | Q5_K_M | 4.77 GB |
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| [malaysian-mistral-7b-32k-instructions-v2-ckpt-1700.Q6_K.gguf](https://huggingface.co/prsyahmi/malaysian-mistral-7b-32k-instructions-v2-ckpt-1700-GGUF/blob/main/malaysian-mistral-7b-32k-instructions-v2-ckpt-1700.Q6_K.gguf) | Q6_K | 5.53 GB |
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| [malaysian-mistral-7b-32k-instructions-v2-ckpt-1700.fp16.gguf](https://huggingface.co/prsyahmi/malaysian-mistral-7b-32k-instructions-v2-ckpt-1700-GGUF/blob/main/malaysian-mistral-7b-32k-instructions-v2-ckpt-1700.fp16.gguf) | FP16 | 13.5 GB |
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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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