Qwen1.5 represents an advanced iteration in the Qwen series, developed by the Qwen team at Alibaba Cloud. This version stands out as a beta precursor to Qwen2, showcasing a leap in language model technology with its transformer-based, decoder-only framework. It has been pre-trained on a vast dataset, ensuring a broad understanding across various domains. It has achieved significant gains in performance, particularly in chat model preferences, and offers robust multilingual support. Qwen1.5's architecture incorporates cutting-edge features such as SwiGLU activation and attention mechanisms tailored for efficiency and scalability. It supports a 32K context length across all model sizes, enhancing its ability to handle extensive conversations or documents.
from openai import OpenAI client = OpenAI( base_url="https://api.respan.ai/api/", api_key="YOUR_RESPAN_API_KEY",) response = client.chat.completions.create( model="together_ai/Qwen/Qwen1.5-32B-Chat", messages=[{"role": "user", "content": "Hello!"}],)print(response.choices[0].message.content)from openai import OpenAI client = OpenAI( base_url="https://api.respan.ai/api/", api_key="YOUR_RESPAN_API_KEY",) response = client.chat.completions.create( model="together_ai/Qwen/Qwen1.5-32B-Chat", messages=[{"role": "user", "content": "Hello!"}],)print(response.choices[0].message.content)Gateway routes for this model on the Respan gateway, including fallback routes when configured.
Other models from the same provider available through the gateway.
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