Model Details
Full Model IDQwen/Qwen3-8B
Pipeline / Tasktext-generation
Librarytransformers
Downloads (all-time)12.3M
Likes2.0K
Last Modified7/26/2025
Author / OrgQwen
PrivateNo — public
⚡ Quick Usage (Python)
Using the 🤗 Transformers library. Install with pip install transformers
from transformers import pipeline
# Load the model
pipe = pipeline("text-generation", model="Qwen/Qwen3-8B")
# Run inference
result = pipe("Your input here")
print(result)🏷️ Tags
transformerssafetensorsqwen3text-generationconversationalarxiv:2309.00071arxiv:2505.09388base_model:Qwen/Qwen3-8B-Basebase_model:finetune:Qwen/Qwen3-8B-Baselicense:apache-2.0eval-resultstext-generation-inferenceendpoints_compatibledeploy:sagemakerdeploy:azureregion:us
More Text Generation Models
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Access model files, inference API, and full documentation on Hugging Face.
Open on Hugging Face →Browse Model Files ↗← Browse All Models✍️ Task: Text Generation
This model is designed for the Text Generation task. Explore more models for this use case.
All Text Generation Models →📊 Popularity
⬇ Downloads12.3M
❤️ Community Likes2.0K
🛠️ Requirements
- →Install: pip install transformers
- →Python 3.8+ recommended for Transformers.
- →GPU (CUDA) speeds up inference significantly.
- →Use model.half() for fp16 on limited VRAM.