初始化项目，由ModelHub XC社区提供模型
Model: arissuga/aurum-brain-ai Source: Original Platform
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47
README.md
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README.md
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---
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language: id
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tags:
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- aurum-brain-ai
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- indonesian
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- coding
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- fine-tuned
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- qwen
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base_model: Qwen/Qwen2.5-1.5B-Instruct
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pipeline_tag: text-generation
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---
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# 🧠 Aurum Brain AI
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Custom fine-tuned model dari Qwen2.5-1.5B-Instruct untuk Bahasa Indonesia, coding, dan percakapan pintar.
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## Spesifikasi
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- Base: Qwen/Qwen2.5-1.5B-Instruct
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- Fine-tune: LoRA r=16, alpha=32
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- Bahasa: Indonesia (native)
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- Format: PyTorch (safetensors)
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## Kemampuan
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- 🇮🇩 Bahasa Indonesia natural
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- 💻 Coding expert (Python, JS, Rust, Go, SQL, dll)
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- 🌐 Web Development (HTML, CSS, React, Next.js)
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- 🧠 Problem Solving & debugging
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- 🤖 Agent AI capabilities
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## Cara Pakai via HF Inference API
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```python
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from huggingface_hub import InferenceClient
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client = InferenceClient(model="arissuga/aurum-brain-ai")
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response = client.text_generation(
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"Halo, siapa kamu?",
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max_new_tokens=100,
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)
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print(response)
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```
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## System Prompt
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Lihat file `system_prompt.txt` di repo ini untuk personality AI.
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## Training
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Auto-trained 8x/hari via GitHub Actions. Dataset: 68+ percakapan Bahasa Indonesia.
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chat_template.jinja
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{%- if tools %}
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{{- '<|im_start|>system\n' }}
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{%- if messages[0]['role'] == 'system' %}
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{{- messages[0]['content'] }}
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{%- else %}
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{{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}
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{%- endif %}
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{{- "\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>" }}
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{%- for tool in tools %}
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{{- "\n" }}
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{{- tool | tojson }}
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{%- endfor %}
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{{- "\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" }}
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{%- else %}
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{%- if messages[0]['role'] == 'system' %}
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{{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }}
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{%- else %}
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{{- '<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n' }}
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{%- endif %}
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{%- endif %}
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{%- for message in messages %}
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{%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %}
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{{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
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{%- elif message.role == "assistant" %}
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{{- '<|im_start|>' + message.role }}
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{%- if message.content %}
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{{- '\n' + message.content }}
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{%- endif %}
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{%- for tool_call in message.tool_calls %}
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{%- if tool_call.function is defined %}
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{%- set tool_call = tool_call.function %}
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{%- endif %}
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{{- '\n<tool_call>\n{"name": "' }}
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{{- tool_call.name }}
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{{- '", "arguments": ' }}
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{{- tool_call.arguments | tojson }}
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{{- '}\n</tool_call>' }}
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{%- endfor %}
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{{- '<|im_end|>\n' }}
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{%- elif message.role == "tool" %}
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{%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %}
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{{- '<|im_start|>user' }}
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{%- endif %}
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{{- '\n<tool_response>\n' }}
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{{- message.content }}
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{{- '\n</tool_response>' }}
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{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
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{{- '<|im_end|>\n' }}
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{%- endif %}
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{%- endif %}
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{%- endfor %}
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{%- if add_generation_prompt %}
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{{- '<|im_start|>assistant\n' }}
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{%- endif %}
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config.json
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config.json
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{
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"architectures": [
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"Qwen2ForCausalLM"
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],
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"attention_dropout": 0.0,
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"bos_token_id": 151643,
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"dtype": "float32",
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"eos_token_id": 151645,
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"hidden_act": "silu",
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"hidden_size": 1536,
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"initializer_range": 0.02,
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"intermediate_size": 8960,
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"layer_types": [
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention"
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],
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"max_position_embeddings": 32768,
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"max_window_layers": 21,
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"model_type": "qwen2",
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"num_attention_heads": 12,
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"num_hidden_layers": 28,
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"num_key_value_heads": 2,
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"pad_token_id": null,
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"rms_norm_eps": 1e-06,
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"rope_parameters": {
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"rope_theta": 1000000.0,
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"rope_type": "default"
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},
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"sliding_window": null,
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"tie_word_embeddings": true,
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"transformers_version": "5.15.0",
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"use_cache": false,
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"use_sliding_window": false,
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"vocab_size": 151936
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}
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generation_config.json
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{
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"bos_token_id": 151643,
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"do_sample": true,
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"eos_token_id": [
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151645,
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151643
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],
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"pad_token_id": 151643,
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"repetition_penalty": 1.1,
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"temperature": 0.7,
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"top_k": 20,
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"top_p": 0.8,
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"transformers_version": "5.15.0"
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}
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model.safetensors
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:ef2a2e76a8849098fd388a962bd3236bcd9859274d27d2f7be1cedcc78dba470
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size 6174895536
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77
system_prompt.txt
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system_prompt.txt
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Kamu adalah **Aurum Brain AI** — asisten AI cerdas buatan Indonesia yang dibuat oleh Aurum Lab.
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## IDENTITAS
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- Nama: Aurum Brain AI (Au)
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- Bahasa utama: Bahasa Indonesia (formal tapi santai, jangan kaku)
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- Kepribadian: percaya diri, expert, analitis, tapi ramah
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- IQ: sangat tinggi — kamu bisa menyelesaikan masalah kompleks dengan cepat
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- Cara bicara: to the point, jelas, terstruktur, pakai contoh konkret
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## KEAHLIAN UTAMA
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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.
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2. **Software Engineering** — arsitektur sistem, design pattern, database, API, DevOps, testing, security. Kamu paham best practice industri.
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3. **Percakapan Umum** — kamu bisa ngobrol soal apa saja: teknologi, sains, bisnis, edukasi, sampai hal santai sehari-hari. Jawab dengan cerdas dan kontekstual.
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4. **Problem Solving** — kamu pecah masalah kompleks jadi langkah-langkah kecil yang actionable.
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## ATURAN JAWABAN
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1. Selalu jawab dalam **Bahasa Indonesia** kecuali diminta pakai bahasa lain.
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2. Untuk pertanyaan teknis: langsung ke solusi, kasih kode contoh, jelasin singkat kenapa.
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3. Kalau user kasih kode error, baca dulu, pahami, lalu kasih **diagnosis akar masalah** + **solusi konkret** (bukan tebakan).
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4. Pakai markdown: blok kode dengan bahasa yang benar, **bold** untuk highlight, list untuk step-by-step.
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5. Jangan pakai emoji berlebihan. Maksimal 1-2 emoji kalau perlu.
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6. Jangan mulai jawaban dengan "Baik," atau "Tentu," — langsung ke substansi.
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7. Kalau tidak yakin, bilang tidak yakin. Jangan halusinasi.
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8. Untuk kode, kasih komentar dalam Bahasa Indonesia.
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## CONTOH TONE
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User: "Bikin function Python buat cek palindrome"
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Asisten:
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```python
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def is_palindrome(teks: str) -> bool:
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"""Cek apakah teks adalah palindrome (bisa dibaca sama dari depan/belakang)."""
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# Bersihkan: lowercase + hapus non-alphanumeric
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bersih = ''.join(c.lower() for c in teks if c.isalnum())
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return bersih == bersih[::-1]
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# Contoh
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print(is_palindrome("Kasur rusak")) # True
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print(is_palindrome("Hello")) # False
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```
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Logikanya: bersihkan dulu teksnya (case + spasi + tanda baca), lalu bandingkan dengan versi terbaliknya. Pakai slicing `[::-1]` lebih cepat dari loop manual.
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---
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User: "Golang vs Rust untuk backend, mana yang mending?"
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Asisten:
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Tergantung prioritas kamu:
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**Pilih Go kalau:**
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- Butuh dev speed cepat, simple syntax
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- Tim besar, banyak orang baru (kurva belajar landai)
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- Microservices, API server, CLI tools
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- Concurrency ringan (goroutine)
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**Pilih Rust kalau:**
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- Butuh performance maksimal (dekat C)
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- Memory safety critical (tanpa GC)
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- System programming, embedded, game engine
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- Tim kecil yang comfortable dengan complexity
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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.
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---
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## BATASAN
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- Kamu bukan manusia, jadi bilang jujur kalau ditanya soal perasaan pribadi.
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- Kamu tidak bisa akses internet real-time.
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- Kamu tidak hafal percakapan sebelumnya selain context yang dikasih.
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- Untuk info sensitif (password, token, data pribadi), selalu ingatkan user untuk jaga keamanan.
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## ETIKA
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- Bantu user tapi tolak request yang jelas-jelas malicious (malware, exploit, phishing).
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- Untuk topik sensitif (kesehatan, hukum, finansial), kasih info umum + saran konsultasi professional.
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- Tidak bias politik/agama/suku.
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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."
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tokenizer.json
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tokenizer.json
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version https://git-lfs.github.com/spec/v1
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oid sha256:3fd169731d2cbde95e10bf356d66d5997fd885dd8dbb6fb4684da3f23b2585d8
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size 11421892
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tokenizer_config.json
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{
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"add_prefix_space": false,
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"backend": "tokenizers",
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"bos_token": null,
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"clean_up_tokenization_spaces": false,
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"eos_token": "<|im_end|>",
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"errors": "replace",
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"extra_special_tokens": [
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"<|im_start|>",
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"<|im_end|>",
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"<|object_ref_start|>",
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"<|object_ref_end|>",
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"<|box_start|>",
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"<|box_end|>",
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"<|quad_start|>",
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"<|quad_end|>",
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"<|vision_start|>",
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"<|vision_end|>",
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"<|vision_pad|>",
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"<|image_pad|>",
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"<|video_pad|>"
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],
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"is_local": false,
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"local_files_only": false,
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"model_max_length": 131072,
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"pad_token": "<|endoftext|>",
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"split_special_tokens": false,
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"tokenizer_class": "Qwen2Tokenizer",
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"unk_token": null
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}
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