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Model: azherali/Aqal-1.0-8B Source: Original Platform
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README.md
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README.md
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---
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base_model: unsloth/Qwen3-8B
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tags:
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- text-generation-inference
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- transformers
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- unsloth
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- qwen3
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license: apache-2.0
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language:
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- en
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---
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```python
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from transformers import AutoModelForCausalLM, AutoTokenizer
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model_name = "azherali/Aqal-1.0-8B"
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# load the tokenizer and the model
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tokenizer = AutoTokenizer.from_pretrained(model_name)
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model = AutoModelForCausalLM.from_pretrained(
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model_name,
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torch_dtype="auto",
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device_map="auto"
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)
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# prepare the model input
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prompt = "پاکستان کی ثقافت کے بارے میں مختصر وضاحت کریں۔"
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messages = [
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{"role": "user", "content": prompt}
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]
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text = tokenizer.apply_chat_template(
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messages,
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tokenize=False,
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add_generation_prompt=True,
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)
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model_inputs = tokenizer([text], return_tensors="pt").to(model.device)
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# conduct text completion
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generated_ids = model.generate(
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**model_inputs,
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max_new_tokens=2048
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)
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output_ids = generated_ids[0][len(model_inputs.input_ids[0]):].tolist()
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try:
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# rindex finding 151668 (</think>)
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index = len(output_ids) - output_ids[::-1].index(151668)
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except ValueError:
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index = 0
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content = tokenizer.decode(
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output_ids[index:],
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skip_special_tokens=True
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).strip("\n")
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print("content:", content)
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```
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# Uploaded model
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- **Developed by:** azherali
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- **License:** apache-2.0
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