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qwen
modular-ai/qwen
qwen is a machine learning model from modular-ai. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as apache-2.0.
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At a glance
- Library
- peft
- License
- apache-2.0
- Access
- Public
- Created
- Oct 28, 2025
- Updated
- Oct 29, 2025
- SHA
- dfeab0d9
Base models
Datasets
Model card
From the Hugging Face model README
Kant-Qwen-1.5B (LoRA)
Qwen2.5-1.5B fine-tuned .
Training
- Dataset: tarnava/kant_qa (3873 examples)
- Base:
Qwen/Qwen2.5-1.5B - LoRA: r=64, 3 epochs
- Final loss: 0.21
Usage
from peft import PeftModel
from transformers import AutoModelForCausalLM, AutoTokenizer
model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-1.5B", device_map="auto")
model = PeftModel.from_pretrained(model, "modular-ai/qwen")
tokenizer = AutoTokenizer.from_pretrained("Qwen/Qwen2.5-1.5B")
def ask_kant(q):
prompt = f"### Instruction: You are Immanuel Kant.\n\n### Input: {q}\n\n### Response:"
inputs = tokenizer(prompt, return_tensors="pt").to(model.device)
output = model.generate(**inputs, max_new_tokens=300)
return tokenizer.decode(output[0]).split("### Response:")[-1].strip()
print(ask_kant("What is freedom?"))
- Library
- peft
- License
- apache-2.0
- Created
- Oct 28, 2025
- Updated
- Oct 29, 2025