Qwen/Qwen1.5-14B-Chat

Qwen1.5-14B-Chat: An Enhanced Multilingual Chat Model

Qwen1.5-14B-Chat is a 14.2 billion parameter, decoder-only language model from the Qwen1.5 series, serving as a beta version for Qwen2. This model is pretrained on extensive data and further post-trained using supervised finetuning and direct preference optimization to enhance its conversational abilities.

Key Capabilities & Features

• Improved Chat Performance: Demonstrates significant advancements in human preference for chat-based interactions compared to previous Qwen models.
• Multilingual Support: Offers enhanced support for multiple natural languages in both its base and chat variants.
• Extended Context Length: Provides stable support for a 32K token context window across all model sizes, including this 14B version.
• Simplified Integration: No longer requires trust_remote_code, streamlining its use with Hugging Face Transformers (version 4.37.0 or newer).
• Transformer Architecture: Built on a Transformer architecture featuring SwiGLU activation, attention QKV bias, and an improved tokenizer optimized for diverse languages and code.

When to Use This Model

Qwen1.5-14B-Chat is particularly well-suited for applications requiring a powerful, multilingual conversational AI. Its improved human preference alignment and stable long-context handling make it ideal for chatbots, virtual assistants, and other interactive language generation tasks where nuanced understanding and diverse language support are crucial.