Qwen2.5 32B Instruct
Overview
Qwen2.5-32B-Instruct is an instruction-tuned 32 billion parameter language model, part of the Qwen2.5 series. It is designed to follow instructions, generate long texts (over 8K tokens), understand structured data (e.g., tables), and generate structured outputs, especially JSON. The model supports multilingual capabilities across over 29 languages.
Qwen2.5 32B Instruct was released on September 19, 2024.
Performance
Timeline
ReleasedUnknown
Knowledge CutoffUnknown
Specifications
Parameters
32.5B
License
Apache 2.0
Training Data
Unknown
Tags
tuning:instruct
Benchmarks
Qwen2.5 32B Instruct Performance Across Datasets
Scores sourced from the model's scorecard, paper, or official blog posts
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Pricing
Pricing, performance, and capabilities for Qwen2.5 32B Instruct across different providers:
No pricing information available for this model.
API Access
API Access Coming Soon
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Recent Posts
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FAQ
Common questions about Qwen2.5 32B Instruct
Qwen2.5 32B Instruct was released on September 19, 2024.
Qwen2.5 32B Instruct has 32.5 billion parameters.