Qwen3-14B

Qwen3-14B is a 14-billion-parameter model featuring a deeper architecture with 40 layers and an increased number of attention heads (40/8). It supports a context window of 128K tokens and does not use tied embeddings, ensuring maximum flexibility and diversity in responses.

The model delivers exceptional performance in tasks requiring expert-level knowledge and complex analysis. Its support for 119 languages, combined with advanced hybrid reasoning capabilities, makes it ideal for high-complexity international projects.

Qwen3-14B is designed for enterprise solutions and research initiatives — including automation of complex business processes, scientific research, AI product development, and the creation of specialized expert systems. The model is perfectly suited for companies in need of a high-quality AI assistant for strategic planning, technical consulting, and innovative product development.

Announce Date: 29.04.2025
Parameters: 14.8B
Context: 40K
Attention Type: Full or Sliding Window Attention
VRAM requirements: 13.1 GB using 4 bits quantization
Developer: Alibaba
Transformers Version: 4.51.0
Ollama Version: 0.6.6
License: Apache 2.0

Use our pre-built public endpoints to test inference and explore Qwen3-14B capabilities.

Rent your own physically dedicated instance with hourly or long-term monthly billing.

We recommend deploying private instances in the following scenarios:

• maximize endpoint performance,
• enable full context for long sequences,
• ensure top-tier security for data processing in an isolated, dedicated environment,
• use custom weights, such as fine-tuned models or LoRA adapters.

Contact our dedicated neural networks support team at nn@immers.cloud or send your request to the sales department at sale@immers.cloud.