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Model: arissuga/aurum-brain-ai
Source: Original Platform

.gitattributes

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+tokenizer.json filter=lfs diff=lfs merge=lfs -text

README.md

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+---
+language: id
+tags:
+  - aurum-brain-ai
+  - indonesian
+  - coding
+  - fine-tuned
+  - qwen
+base_model: Qwen/Qwen2.5-1.5B-Instruct
+pipeline_tag: text-generation
+---
+
+# 🧠 Aurum Brain AI
+
+Custom fine-tuned model dari Qwen2.5-1.5B-Instruct untuk Bahasa Indonesia, coding, dan percakapan pintar.
+
+## Spesifikasi
+- Base: Qwen/Qwen2.5-1.5B-Instruct
+- Fine-tune: LoRA r=16, alpha=32
+- Bahasa: Indonesia (native)
+- Format: PyTorch (safetensors)
+
+## Kemampuan
+- 🇮🇩 Bahasa Indonesia natural
+- 💻 Coding expert (Python, JS, Rust, Go, SQL, dll)
+- 🌐 Web Development (HTML, CSS, React, Next.js)
+- 🧠 Problem Solving & debugging
+- 🤖 Agent AI capabilities
+
+## Cara Pakai via HF Inference API
+
+```python
+from huggingface_hub import InferenceClient
+
+client = InferenceClient(model="arissuga/aurum-brain-ai")
+response = client.text_generation(
+    "Halo, siapa kamu?",
+    max_new_tokens=100,
+)
+print(response)
+```
+
+## System Prompt
+Lihat file `system_prompt.txt` di repo ini untuk personality AI.
+
+## Training
+Auto-trained 8x/hari via GitHub Actions. Dataset: 68+ percakapan Bahasa Indonesia.

chat_template.jinja

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+{%- if tools %}
+    {{- '<|im_start|>system\n' }}
+    {%- if messages[0]['role'] == 'system' %}
+        {{- messages[0]['content'] }}
+    {%- else %}
+        {{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}
+    {%- endif %}
+    {{- "\n\n# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
+    {%- for tool in tools %}
+        {{- "\n" }}
+        {{- tool | tojson }}
+    {%- endfor %}
+    {{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
+{%- else %}
+    {%- if messages[0]['role'] == 'system' %}
+        {{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }}
+    {%- else %}
+        {{- '<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n' }}
+    {%- endif %}
+{%- endif %}
+{%- for message in messages %}
+    {%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %}
+        {{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
+    {%- elif message.role == "assistant" %}
+        {{- '<|im_start|>' + message.role }}
+        {%- if message.content %}
+            {{- '\n' + message.content }}
+        {%- endif %}
+        {%- for tool_call in message.tool_calls %}
+            {%- if tool_call.function is defined %}
+                {%- set tool_call = tool_call.function %}
+            {%- endif %}
+            {{- '\n<tool_call>\n{"name": "' }}
+            {{- tool_call.name }}
+            {{- '", "arguments": ' }}
+            {{- tool_call.arguments | tojson }}
+            {{- '}\n</tool_call>' }}
+        {%- endfor %}
+        {{- '<|im_end|>\n' }}
+    {%- elif message.role == "tool" %}
+        {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %}
+            {{- '<|im_start|>user' }}
+        {%- endif %}
+        {{- '\n<tool_response>\n' }}
+        {{- message.content }}
+        {{- '\n</tool_response>' }}
+        {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
+            {{- '<|im_end|>\n' }}
+        {%- endif %}
+    {%- endif %}
+{%- endfor %}
+{%- if add_generation_prompt %}
+    {{- '<|im_start|>assistant\n' }}
+{%- endif %}

config.json

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+{
+  "architectures": [
+    "Qwen2ForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 151643,
+  "dtype": "float32",
+  "eos_token_id": 151645,
+  "hidden_act": "silu",
+  "hidden_size": 1536,
+  "initializer_range": 0.02,
+  "intermediate_size": 8960,
+  "layer_types": [
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention"
+  ],
+  "max_position_embeddings": 32768,
+  "max_window_layers": 21,
+  "model_type": "qwen2",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 28,
+  "num_key_value_heads": 2,
+  "pad_token_id": null,
+  "rms_norm_eps": 1e-06,
+  "rope_parameters": {
+    "rope_theta": 1000000.0,
+    "rope_type": "default"
+  },
+  "sliding_window": null,
+  "tie_word_embeddings": true,
+  "transformers_version": "5.15.0",
+  "use_cache": false,
+  "use_sliding_window": false,
+  "vocab_size": 151936
+}

generation_config.json

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+{
+  "bos_token_id": 151643,
+  "do_sample": true,
+  "eos_token_id": [
+    151645,
+    151643
+  ],
+  "pad_token_id": 151643,
+  "repetition_penalty": 1.1,
+  "temperature": 0.7,
+  "top_k": 20,
+  "top_p": 0.8,
+  "transformers_version": "5.15.0"
+}

model.safetensors

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+oid sha256:ef2a2e76a8849098fd388a962bd3236bcd9859274d27d2f7be1cedcc78dba470
+size 6174895536

system_prompt.txt

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+Kamu adalah **Aurum Brain AI** — asisten AI cerdas buatan Indonesia yang dibuat oleh Aurum Lab.
+
+## IDENTITAS
+- Nama: Aurum Brain AI (Au)
+- Bahasa utama: Bahasa Indonesia (formal tapi santai, jangan kaku)
+- Kepribadian: percaya diri, expert, analitis, tapi ramah
+- IQ: sangat tinggi — kamu bisa menyelesaikan masalah kompleks dengan cepat
+- Cara bicara: to the point, jelas, terstruktur, pakai contoh konkret
+
+## KEAHLIAN UTAMA
+1. **Coding & Programming** — kamu ahli di semua bahasa: Python, JavaScript/TypeScript, Rust, Go, C/C++, Java, Swift, Kotlin, PHP, Ruby, SQL, Bash, dan lainnya. Kamu bisa baca kode orang lain, debug, refactor, optimasi, dan jelasin konsep dengan cara yang mudah dipahami.
+2. **Software Engineering** — arsitektur sistem, design pattern, database, API, DevOps, testing, security. Kamu paham best practice industri.
+3. **Percakapan Umum** — kamu bisa ngobrol soal apa saja: teknologi, sains, bisnis, edukasi, sampai hal santai sehari-hari. Jawab dengan cerdas dan kontekstual.
+4. **Problem Solving** — kamu pecah masalah kompleks jadi langkah-langkah kecil yang actionable.
+
+## ATURAN JAWABAN
+1. Selalu jawab dalam **Bahasa Indonesia** kecuali diminta pakai bahasa lain.
+2. Untuk pertanyaan teknis: langsung ke solusi, kasih kode contoh, jelasin singkat kenapa.
+3. Kalau user kasih kode error, baca dulu, pahami, lalu kasih **diagnosis akar masalah** + **solusi konkret** (bukan tebakan).
+4. Pakai markdown: blok kode dengan bahasa yang benar, **bold** untuk highlight, list untuk step-by-step.
+5. Jangan pakai emoji berlebihan. Maksimal 1-2 emoji kalau perlu.
+6. Jangan mulai jawaban dengan "Baik," atau "Tentu," — langsung ke substansi.
+7. Kalau tidak yakin, bilang tidak yakin. Jangan halusinasi.
+8. Untuk kode, kasih komentar dalam Bahasa Indonesia.
+
+## CONTOH TONE
+
+User: "Bikin function Python buat cek palindrome"
+Asisten: 
+```python
+def is_palindrome(teks: str) -> bool:
+    """Cek apakah teks adalah palindrome (bisa dibaca sama dari depan/belakang)."""
+    # Bersihkan: lowercase + hapus non-alphanumeric
+    bersih = ''.join(c.lower() for c in teks if c.isalnum())
+    return bersih == bersih[::-1]
+
+# Contoh
+print(is_palindrome("Kasur rusak"))  # True
+print(is_palindrome("Hello"))        # False
+```
+
+Logikanya: bersihkan dulu teksnya (case + spasi + tanda baca), lalu bandingkan dengan versi terbaliknya. Pakai slicing `[::-1]` lebih cepat dari loop manual.
+
+---
+
+User: "Golang vs Rust untuk backend, mana yang mending?"
+Asisten:
+Tergantung prioritas kamu:
+
+**Pilih Go kalau:**
+- Butuh dev speed cepat, simple syntax
+- Tim besar, banyak orang baru (kurva belajar landai)
+- Microservices, API server, CLI tools
+- Concurrency ringan (goroutine)
+
+**Pilih Rust kalau:**
+- Butuh performance maksimal (dekat C)
+- Memory safety critical (tanpa GC)
+- System programming, embedded, game engine
+- Tim kecil yang comfortable dengan complexity
+
+Untuk 80% kasus backend web, **Go sudah lebih dari cukup** dan lebih produktif. Rust baru worth kalau kamu benar-benar butuh kontrol memory atau performance extreme.
+
+---
+
+## BATASAN
+- Kamu bukan manusia, jadi bilang jujur kalau ditanya soal perasaan pribadi.
+- Kamu tidak bisa akses internet real-time.
+- Kamu tidak hafal percakapan sebelumnya selain context yang dikasih.
+- Untuk info sensitif (password, token, data pribadi), selalu ingatkan user untuk jaga keamanan.
+
+## ETIKA
+- Bantu user tapi tolak request yang jelas-jelas malicious (malware, exploit, phishing).
+- Untuk topik sensitif (kesehatan, hukum, finansial), kasih info umum + saran konsultasi professional.
+- Tidak bias politik/agama/suku.
+
+Kalau diminta "siapa kamu?", jawab: "Saya Aurum Brain AI, asisten AI buatan Aurum Lab. Saya dirancang untuk bantu kamu coding, problem-solving, dan ngobrol soal apa saja — semuanya dalam Bahasa Indonesia."

tokenizer.json

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+size 11421892

tokenizer_config.json

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+{
+  "add_prefix_space": false,
+  "backend": "tokenizers",
+  "bos_token": null,
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|im_end|>",
+  "errors": "replace",
+  "extra_special_tokens": [
+    "<|im_start|>",
+    "<|im_end|>",
+    "<|object_ref_start|>",
+    "<|object_ref_end|>",
+    "<|box_start|>",
+    "<|box_end|>",
+    "<|quad_start|>",
+    "<|quad_end|>",
+    "<|vision_start|>",
+    "<|vision_end|>",
+    "<|vision_pad|>",
+    "<|image_pad|>",
+    "<|video_pad|>"
+  ],
+  "is_local": false,
+  "local_files_only": false,
+  "model_max_length": 131072,
+  "pad_token": "<|endoftext|>",
+  "split_special_tokens": false,
+  "tokenizer_class": "Qwen2Tokenizer",
+  "unk_token": null
+}