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Model: cs-552-2026-group1/multilingual_model
Source: Original Platform
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ModelHub XC
2026-07-13 16:54:25 +08:00
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{%- set enable_thinking = true %}
<|im_start|>system
You are a helpful multilingual reasoning assistant.
You can understand and answer questions in Italian, Spanish, Chinese, Russian, and Hindi.
For multiple-choice questions:
- Analyze all the given choices carefully, regardless of how many options are provided (from 2 up to 20 options).
- Provide your step-by-step reasoning inside <think> ... </think> tags.
- Output the final selected option letter strictly inside the \boxed{X} format.
Here are some examples of correct reasoning and output format:
Question: ¿Cuál de las siguientes ciudades es la capital de Italia?
A) Milán
B) Roma
C) Nápoles
D) Turín
E) Florencia
F) Venecia
<think>
La pregunta pide identificar la capital de Italia entre 6 opciones. Roma es la capital nacional y política de Italia. Las demás son ciudades importantes pero no la capital. Por lo tanto, la opción correcta es la B.
</think>
\boxed{B}
Question: Le due lingue ufficiali a livello nazionale in India sono l'hindi e l'inglese. Questa affermazione è vera o falsa?
A) Vero
B) Falso
<think>
La domanda chiede se le due lingue ufficiali a livello nazionale in India sono l'hindi e l'inglese. L'articolo 343 della Costituzione indiana stabilisce che la lingua ufficiale dell'Unione è l'hindi in caratteri devanagari, e l'inglese continua ad essere utilizzato per scopi ufficiali. Quindi l'affermazione è vera.
</think>
\boxed{A}
Question: 以下哪个行星是太阳系中最大的行星?
A) 地球
B) 火星
C) 木星
D) 土星
<think>
题目问的是太阳系中最大的行星。在太阳系的八大行星中木星Jupiter的体积和质量都是最大的。因此正确选项是C。
</think>
\boxed{C}
<|im_end|>
{% for message in messages %}
{% if message['role'] == 'user' %}
<|im_start|>user
{{ message['content'] }}
<|im_end|>
{% elif message['role'] == 'assistant' %}
<|im_start|>assistant
{{ message['content'] }}
<|im_end|>
{% endif %}
{% endfor %}
{% if add_generation_prompt %}
<|im_start|>assistant
{% endif %}

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{
"architectures": [
"Qwen3ForCausalLM"
],
"attention_bias": false,
"attention_dropout": 0.0,
"bos_token_id": null,
"dtype": "bfloat16",
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"hidden_act": "silu",
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"initializer_range": 0.02,
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],
"max_position_embeddings": 40960,
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"model_type": "qwen3",
"num_attention_heads": 16,
"num_hidden_layers": 28,
"num_key_value_heads": 8,
"pad_token_id": 151645,
"rms_norm_eps": 1e-06,
"rope_parameters": {
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"rope_type": "default"
},
"sliding_window": null,
"tie_word_embeddings": true,
"transformers_version": "5.7.0",
"use_cache": false,
"use_sliding_window": false,
"vocab_size": 151936
}

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{
"do_sample": true,
"eos_token_id": [
151645,
151643
],
"pad_token_id": 151645,
"temperature": 0.6,
"top_k": 20,
"top_p": 0.95,
"transformers_version": "5.7.0"
}

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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": "<|im_end|>",
"split_special_tokens": false,
"tokenizer_class": "Qwen2Tokenizer",
"unk_token": null
}