Qwen: Qwen3 8B

Qwen3-8B is Alibaba's balanced dense language model offering Qwen2.5-14B equivalent performance, ideal for consumer hardware deployment and cost-effective inference.

Qwen3-8B-Base performs as well as Qwen2.5-14B-Base.

• Qwen Team

Overview

Qwen3-8B is a balanced dense model in the Qwen3 family, delivering strong performance at a size suitable for consumer GPUs and edge deployment. It matches the previous generation's 14B model while requiring roughly half the resources.

Key Features

• Dense architecture: All 8B parameters active
• Hybrid thinking: Toggle thinking/non-thinking modes
• 128K context: Native long-context support
• Qwen2.5-14B equivalent: Same performance at smaller size
• Consumer-friendly: Runs on single consumer GPU with quantization
• 119 languages: Broad multilingual support

Technical Specifications

Specification	Value
Parameters	8B (dense)
Architecture	Dense transformer
Context Length	128K tokens
Training Data	36T tokens
Release Date	April 2025
License	Apache 2.0

Hardware Requirements

Precision	VRAM Required
FP16/BF16	~16GB
INT8	~8GB
INT4	~4GB

When to Use Qwen3-8B

Choose Qwen3-8B when you need:

• Strong capability on consumer hardware
• Single-GPU deployment
• Cost-effective local inference
• Edge or laptop deployment

Consider alternatives when:

• Maximum capability → Qwen3-14B, 32B
• Smaller footprint → Qwen3-4B
• Vision capability → Qwen3-VL-8B

Availability

• Open Weights: Hugging Face (Qwen/Qwen3-8B)
• API: OpenRouter, various providers
• Local: Ollama, LMStudio, vLLM, SGLang, llama.cpp

Role in Series

Qwen3 dense models by size:

1. Qwen3-0.6B: Mobile, ~Qwen2.5-3B
2. Qwen3-1.7B: Edge, ~Qwen2.5-3B
3. Qwen3-4B: Small, ~Qwen2.5-7B, rivals Qwen2.5-72B on some tasks
4. Qwen3-8B: Balanced, ~Qwen2.5-14B (this model)
5. Qwen3-14B: Mid-size, ~Qwen2.5-32B
6. Qwen3-32B: Largest, ~Qwen2.5-72B

Links

• Qwen3 Blog
• Hugging Face
• OpenRouter