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Model: Atikarahmanda/Qwen3-4B-SFT-Multitask
Source: Original Platform

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README.md

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+---
+base_model: aitf-kpm-ugm/Qwen3-4B-CPT-Base
+library_name: transformers
+language:
+- id
+license: apache-2.0
+pipeline_tag: text-generation
+tags:
+- qwen3
+- bahasa-indonesia
+- sft
+- multitask
+- sentiment-analysis
+- kategorisasi
+- alpaca
+- lora-merged
+datasets:
+- custom
+---
+
+# Qwen3-4B SFT — Multitask Bahasa Indonesia
+
+Model hasil fine-tuning (LoRA, sudah di-**merge** ke base weights) dari
+[`aitf-kpm-ugm/Qwen3-4B-CPT-Base`](https://huggingface.co/aitf-kpm-ugm/Qwen3-4B-CPT-Base) untuk berbagai tugas NLP **Bahasa Indonesia**.
+
+---
+
+## Detail Model
+
+| Atribut | Nilai |
+|---|---|
+| Base model | `aitf-kpm-ugm/Qwen3-4B-CPT-Base` |
+| Metode fine-tune | LoRA (r=64, alpha=128) |
+| Status adapter | **Merged** ke base weights |
+| Bahasa output | Bahasa Indonesia |
+| Format chat | **Alpaca** |
+| Precision | bfloat16 |
+| Max seq length | 2048 |
+| Training epochs | 3 |
+| Best checkpoint | step 2400 |
+| Best val loss | 0.3566 |
+
+---
+
+## Task yang Didukung
+
+1. **Sentimen Analysis** — klasifikasi positif / netral / negatif
+2. **Justifier** — klasifikasi is_relevant: true / false
+3. **Kategorisasi Issue** — klasifikasi sub_category_label
+
+---
+
+## Cara Pakai
+
+````python
+import torch
+from transformers import AutoTokenizer, AutoModelForCausalLM
+
+REPO = "Atikarahmanda/Qwen3-4B-SFT-Multitask"
+
+tokenizer = AutoTokenizer.from_pretrained(REPO)
+model = AutoModelForCausalLM.from_pretrained(
+    REPO,
+    torch_dtype=torch.bfloat16,
+    device_map="auto",
+)
+model.eval()
+
+messages = [
+    {"role": "system", "content": "Sistem prompt sesuai task."},
+    {"role": "user",   "content": "Input artikel di sini."},
+]
+
+text = tokenizer.apply_chat_template(
+    messages, tokenize=False, add_generation_prompt=True
+)
+inputs = tokenizer(text, return_tensors="pt").to(model.device)
+input_len = inputs.input_ids.shape[1]
+
+with torch.no_grad():
+    out = model.generate(
+        **inputs,
+        max_new_tokens=128,
+        do_sample=False,
+        eos_token_id=tokenizer.eos_token_id,
+        pad_token_id=tokenizer.pad_token_id,
+    )
+
+print(tokenizer.decode(out[0, input_len:], skip_special_tokens=True))
+```
+
+---
+
+## Training Details
+
+- **Framework**: Unsloth + TRL SFTTrainer
+- **LoRA config**: r=64, alpha=128
+- **Optimizer**: AdamW 8-bit
+- **LR scheduler**: Cosine, warmup ratio 0.03
+- **Effective batch size**: 6 x 8 = 48
+- **train_on_responses_only**: Ya
+
+---
+
+## Lisensi
+
+Mengikuti lisensi base model: [Apache 2.0](https://www.apache.org/licenses/LICENSE-2.0).

added_tokens.json

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+  "</tool_call>": 151658,
+  "</tool_response>": 151666,
+  "<think>": 151667,
+  "<tool_call>": 151657,
+  "<tool_response>": 151665,
+  "<|PAD_TOKEN|>": 151669,
+  "<|box_end|>": 151649,
+  "<|box_start|>": 151648,
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+  "<|im_start|>": 151644,
+  "<|image_pad|>": 151655,
+  "<|object_ref_end|>": 151647,
+  "<|object_ref_start|>": 151646,
+  "<|quad_end|>": 151651,
+  "<|quad_start|>": 151650,
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+  "<|video_pad|>": 151656,
+  "<|vision_end|>": 151653,
+  "<|vision_pad|>": 151654,
+  "<|vision_start|>": 151652
+}

chat_template.jinja

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+{{ bos_token }}{% if messages[0]['role'] == 'system' %}{{ messages[0]['content'] + '
+
+' }}{% set loop_messages = messages[1:] %}{% else %}{{ 'Below are some instructions that describe some tasks. Write responses that appropriately complete each request.' + '
+
+' }}{% set loop_messages = messages %}{% endif %}{% for message in loop_messages %}{% if message['role'] == 'user' %}{{ '### Instruction:
+' + message['content'] + '
+
+' }}{% elif message['role'] == 'assistant' %}{{ '### Response:
+' + message['content'] + eos_token + '
+
+' }}{% else %}{{ raise_exception('Only user and assistant roles are supported!') }}{% endif %}{% endfor %}{% if add_generation_prompt %}{{ '### Response:
+' }}{% endif %}

config.json

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+{
+    "architectures": [
+        "Qwen3ForCausalLM"
+    ],
+    "attention_bias": false,
+    "attention_dropout": 0.0,
+    "torch_dtype": "bfloat16",
+    "eos_token_id": 151643,
+    "head_dim": 128,
+    "hidden_act": "silu",
+    "hidden_size": 2560,
+    "initializer_range": 0.02,
+    "intermediate_size": 9728,
+    "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",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention"
+    ],
+    "max_position_embeddings": 32768,
+    "max_window_layers": 36,
+    "model_type": "qwen3",
+    "num_attention_heads": 32,
+    "num_hidden_layers": 36,
+    "num_key_value_heads": 8,
+    "pad_token_id": 151669,
+    "rms_norm_eps": 1e-06,
+    "rope_scaling": null,
+    "rope_theta": 1000000,
+    "sliding_window": null,
+    "tie_word_embeddings": true,
+    "unsloth_fixed": true,
+    "unsloth_version": "2026.6.1",
+    "use_cache": true,
+    "use_sliding_window": false,
+    "vocab_size": 151936
+}

generation_config.json

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+{
+  "eos_token_id": [
+    151643
+  ],
+  "max_length": 32768,
+  "max_new_tokens": 2048,
+  "pad_token_id": 151669,
+  "transformers_version": "4.56.2"
+}

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+}

special_tokens_map.json

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+{
+  "additional_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|>"
+  ],
+  "eos_token": "<|endoftext|>",
+  "pad_token": {
+    "content": "<|PAD_TOKEN|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer.json

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+version https://git-lfs.github.com/spec/v1
+oid sha256:10ba4ba91270b1a50e5cd8e51023bccc66fc4ac4909dd7ae7ab29433411c9bb9
+size 11422844

tokenizer_config.json

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+  "add_prefix_space": false,
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+      "single_word": false,
+      "special": true
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+      "special": true
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+      "single_word": false,
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+    },
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+      "special": true
+    },
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+    "<|quad_end|>",
+    "<|vision_start|>",
+    "<|vision_end|>",
+    "<|vision_pad|>",
+    "<|image_pad|>",
+    "<|video_pad|>"
+  ],
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+  "errors": "replace",
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+  "pad_token": "<|PAD_TOKEN|>",
+  "padding_side": "left",
+  "split_special_tokens": false,
+  "tokenizer_class": "Qwen2Tokenizer",
+  "unk_token": null,
+  "chat_template": "{{ bos_token }}{% if messages[0]['role'] == 'system' %}{{ messages[0]['content'] + '\n\n' }}{% set loop_messages = messages[1:] %}{% else %}{{ 'Below are some instructions that describe some tasks. Write responses that appropriately complete each request.' + '\n\n' }}{% set loop_messages = messages %}{% endif %}{% for message in loop_messages %}{% if message['role'] == 'user' %}{{ '### Instruction:\n' + message['content'] + '\n\n' }}{% elif message['role'] == 'assistant' %}{{ '### Response:\n' + message['content'] + eos_token + '\n\n' }}{% else %}{{ raise_exception('Only user and assistant roles are supported!') }}{% endif %}{% endfor %}{% if add_generation_prompt %}{{ '### Response:\n' }}{% endif %}"
+}