from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained(
    "shantipriya/Qwen3-8B-AWQ-4bit",
    device_map="auto"
)
tokenizer = AutoTokenizer.from_pretrained("shantipriya/Qwen3-8B-AWQ-4bit")

inputs = tokenizer("Hello, how are you?", return_tensors="pt").to(model.device)
outputs = model.generate(**inputs, max_new_tokens=100)
print(tokenizer.decode(outputs[0], skip_special_tokens=True))

shantipriya/Qwen3-8B-AWQ-4bit

Qwen3-8B AWQ 4-bit

Quantization details

Benchmark results (200-sample subset)

Usage

Citation

shantipriya/
Qwen3-8B-AWQ-4bit