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README.md

@@ -0,0 +1,134 @@
+---
+library_name: transformers
+widget:
+- messages:
+  - role: system
+    content: Anda adalah seorang konselor karir. User akan memberi Anda seorang individu
+      mencari bimbingan dalam kehidupan profesional mereka, dan tugas Anda adalah
+      membantu mereka dalam menentukan karir apa yang paling cocok bagi mereka berdasarkan
+      keterampilan mereka, minat, dan pengalaman. Anda juga harus melakukan penelitian
+      terhadap berbagai hal tersebut pilihan yang tersedia, jelaskan tren pasar kerja
+      di berbagai industri, Dan saran tentang kualifikasi mana yang akan bermanfaat
+      untuk mengejar bidang tertentu.
+  - role: user
+    content: Hellow!
+  - role: assistant
+    content: Hai! Apa yang bisa saya bantu?
+  - role: user
+    content: Saya tertarik untuk mengembangkan karir di bidang rekayasa perangkat
+      lunak. Apa Anda mau merekomendasikan saya untuk melakukannya?
+- messages:
+  - role: system
+    content: Anda adalah asisten yang berpengetahuan luas. Bantu user sebanyak yang
+      Anda bisa.
+  - role: user
+    content: Bagaimana caranya menjadi lebih sehat?
+- messages:
+  - role: system
+    content: Anda adalah asisten yang membantu dan memberikan tanggapan yang cerdas.
+  - role: user
+    content: Haloooo Bund!
+  - role: assistant
+    content: Halo! Apa yang bisa saya bantu?
+  - role: user
+    content: Saya perlu membangun situs web sederhana. Di mana saya harus mulai belajar
+      tentang pengembangan web?
+- messages:
+  - role: system
+    content: Anda adalah asisten yang sangat kreatif. Pengguna akan memberi Anda tugas,
+      yang harus Anda selesaikan dengan seluruh pengetahuan Anda.
+  - role: user
+    content: Tulis latar belakang cerita game RPG tentang penyihir dan naga di dunia
+      fiksi ilmiah.
+inference:
+  parameters:
+    max_new_tokens: 128
+    penalty_alpha: 0.5
+    top_k: 4
+pipeline_tag: text-generation
+tags:
+- conversational
+- convAI
+- TensorBlock
+- GGUF
+license: apache-2.0
+language:
+- id
+- en
+datasets:
+- FreedomIntelligence/evol-instruct-indonesian
+base_model: kalisai/Nusantara-0.8b-Indo-Chat
+---
+
+<div style="width: auto; margin-left: auto; margin-right: auto">
+<img src="https://i.imgur.com/jC7kdl8.jpeg" alt="TensorBlock" style="width: 100%; min-width: 400px; display: block; margin: auto;">
+</div>
+<div style="display: flex; justify-content: space-between; width: 100%;">
+    <div style="display: flex; flex-direction: column; align-items: flex-start;">
+        <p style="margin-top: 0.5em; margin-bottom: 0em;">
+            Feedback and support: TensorBlock's  <a href="https://x.com/tensorblock_aoi">Twitter/X</a>, <a href="https://t.me/TensorBlock">Telegram Group</a> and <a href="https://x.com/tensorblock_aoi">Discord server</a>
+        </p>
+    </div>
+</div>
+
+## kalisai/Nusantara-0.8b-Indo-Chat - GGUF
+
+This repo contains GGUF format model files for [kalisai/Nusantara-0.8b-Indo-Chat](https://huggingface.co/kalisai/Nusantara-0.8b-Indo-Chat).
+
+The files were quantized using machines provided by [TensorBlock](https://tensorblock.co/), and they are compatible with llama.cpp as of [commit b4242](https://github.com/ggerganov/llama.cpp/commit/a6744e43e80f4be6398fc7733a01642c846dce1d).
+
+<div style="text-align: left; margin: 20px 0;">
+    <a href="https://tensorblock.co/waitlist/client" style="display: inline-block; padding: 10px 20px; background-color: #007bff; color: white; text-decoration: none; border-radius: 5px; font-weight: bold;">
+        Run them on the TensorBlock client using your local machine ↗
+    </a>
+</div>
+
+## Prompt template
+
+```
+<|im_start|>system
+{system_prompt}<|im_end|>
+<|im_start|>user
+{prompt}<|im_end|>
+<|im_start|>assistant
+```
+
+## Model file specification
+
+| Filename | Quant type | File Size | Description |
+| -------- | ---------- | --------- | ----------- |
+| [Nusantara-0.8b-Indo-Chat-Q2_K.gguf](https://huggingface.co/tensorblock/Nusantara-0.8b-Indo-Chat-GGUF/blob/main/Nusantara-0.8b-Indo-Chat-Q2_K.gguf) | Q2_K | 0.374 GB | smallest, significant quality loss - not recommended for most purposes |
+| [Nusantara-0.8b-Indo-Chat-Q3_K_S.gguf](https://huggingface.co/tensorblock/Nusantara-0.8b-Indo-Chat-GGUF/blob/main/Nusantara-0.8b-Indo-Chat-Q3_K_S.gguf) | Q3_K_S | 0.422 GB | very small, high quality loss |
+| [Nusantara-0.8b-Indo-Chat-Q3_K_M.gguf](https://huggingface.co/tensorblock/Nusantara-0.8b-Indo-Chat-GGUF/blob/main/Nusantara-0.8b-Indo-Chat-Q3_K_M.gguf) | Q3_K_M | 0.449 GB | very small, high quality loss |
+| [Nusantara-0.8b-Indo-Chat-Q3_K_L.gguf](https://huggingface.co/tensorblock/Nusantara-0.8b-Indo-Chat-GGUF/blob/main/Nusantara-0.8b-Indo-Chat-Q3_K_L.gguf) | Q3_K_L | 0.473 GB | small, substantial quality loss |
+| [Nusantara-0.8b-Indo-Chat-Q4_0.gguf](https://huggingface.co/tensorblock/Nusantara-0.8b-Indo-Chat-GGUF/blob/main/Nusantara-0.8b-Indo-Chat-Q4_0.gguf) | Q4_0 | 0.511 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
+| [Nusantara-0.8b-Indo-Chat-Q4_K_S.gguf](https://huggingface.co/tensorblock/Nusantara-0.8b-Indo-Chat-GGUF/blob/main/Nusantara-0.8b-Indo-Chat-Q4_K_S.gguf) | Q4_K_S | 0.513 GB | small, greater quality loss |
+| [Nusantara-0.8b-Indo-Chat-Q4_K_M.gguf](https://huggingface.co/tensorblock/Nusantara-0.8b-Indo-Chat-GGUF/blob/main/Nusantara-0.8b-Indo-Chat-Q4_K_M.gguf) | Q4_K_M | 0.531 GB | medium, balanced quality - recommended |
+| [Nusantara-0.8b-Indo-Chat-Q5_0.gguf](https://huggingface.co/tensorblock/Nusantara-0.8b-Indo-Chat-GGUF/blob/main/Nusantara-0.8b-Indo-Chat-Q5_0.gguf) | Q5_0 | 0.595 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
+| [Nusantara-0.8b-Indo-Chat-Q5_K_S.gguf](https://huggingface.co/tensorblock/Nusantara-0.8b-Indo-Chat-GGUF/blob/main/Nusantara-0.8b-Indo-Chat-Q5_K_S.gguf) | Q5_K_S | 0.595 GB | large, low quality loss - recommended |
+| [Nusantara-0.8b-Indo-Chat-Q5_K_M.gguf](https://huggingface.co/tensorblock/Nusantara-0.8b-Indo-Chat-GGUF/blob/main/Nusantara-0.8b-Indo-Chat-Q5_K_M.gguf) | Q5_K_M | 0.605 GB | large, very low quality loss - recommended |
+| [Nusantara-0.8b-Indo-Chat-Q6_K.gguf](https://huggingface.co/tensorblock/Nusantara-0.8b-Indo-Chat-GGUF/blob/main/Nusantara-0.8b-Indo-Chat-Q6_K.gguf) | Q6_K | 0.684 GB | very large, extremely low quality loss |
+| [Nusantara-0.8b-Indo-Chat-Q8_0.gguf](https://huggingface.co/tensorblock/Nusantara-0.8b-Indo-Chat-GGUF/blob/main/Nusantara-0.8b-Indo-Chat-Q8_0.gguf) | Q8_0 | 0.883 GB | very large, extremely low quality loss - not recommended |
+
+
+## Downloading instruction
+
+### Command line
+
+Firstly, install Huggingface Client
+
+```shell
+pip install -U "huggingface_hub[cli]"
+```
+
+Then, downoad the individual model file the a local directory
+
+```shell
+huggingface-cli download tensorblock/Nusantara-0.8b-Indo-Chat-GGUF --include "Nusantara-0.8b-Indo-Chat-Q2_K.gguf" --local-dir MY_LOCAL_DIR
+```
+
+If you wanna download multiple model files with a pattern (e.g., `*Q4_K*gguf`), you can try:
+
+```shell
+huggingface-cli download tensorblock/Nusantara-0.8b-Indo-Chat-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
+```