Qwen2.5-Coder-32B-Instruct
About Qwen2.5-Coder-32B-Instruct
Qwen2.5-Coder-32B-Instruct is a code-specific large language model developed based on Qwen2.5. The model has undergone training on 5.5 trillion tokens, achieving significant improvements in code generation, code reasoning, and code repair. It is currently the most advanced open-source code language model, with coding capabilities comparable to GPT-4. Not only has the model enhanced coding abilities, but it also maintains strengths in mathematics and general capabilities, and supports long text processing.
Available Serverless
Run queries immediately, pay only for usage
$
0.18
/
$
0.18
Per 1M Tokens (input/output)
Metadata
Specification
State
Available
Architecture
Calibrated
No
Mixture of Experts
No
Total Parameters
32
Activated Parameters
32.5 billion
Reasoning
No
Precision
FP8
Context length
33K
Max Tokens
4K
Supported Functionality
Serverless
Supported
Serverless LoRA
Not supported
Fine-tuning
Not supported
Embeddings
Not supported
Rerankers
Not supported
Support image input
Not supported
JSON Mode
Supported
Structured Outputs
Not supported
Tools
Not supported
Fim Completion
Supported
Chat Prefix Completion
Supported
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Model FAQs: Usage, Deployment
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