---
base_model: mesolitica/malaysian-mistral-7b-32k-instructions-v2
inference: false
model_creator: mesolitica
model_name: Malaysian Mistral 7B 32k Instructions v2
model_type: mistral
pipeline_tag: text-generation
prompt_template: '<s>[INST] {prompt} [/INST]

  '
quantized_by: prsyahmi
tags:
- finetuned
---
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# Malaysian Mistral 7B 32k Instructions - GGUF
- Model creator: [mesolotica](https://huggingface.co/mesolitica)
- Original model: [Malaysian Mistral 7B 32k Instructions v2](https://huggingface.co/mesolitica/malaysian-mistral-7b-32k-instructions-v2)

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## Pengenalan
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).

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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## Prompt template: Mistral
```
<s>[INST] {prompt} [/INST]

```

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## Fail yang diberikan
| Nama | Kaedah Quant | Saiz Fail |
| ---- | ---- | ---- |
| [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 |
| [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 |
| [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 |
| [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 |
| [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 |
| [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 |
| [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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## Penghargaan
Terima kasih kepada Husein Zolkepli dan keseluruhan team [mesolotica](https://huggingface.co/mesolitica)!

Atas jasa mereka, kita dapat menggunakan atau mencuba AI peringkat tempatan.

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