DeepSeek-R1-Distill-Qwen-7B
About DeepSeek-R1-Distill-Qwen-7B
DeepSeek-R1-Distill-Qwen-7B is a distilled model based on Qwen2.5-Math-7B. The model was fine-tuned using 800k curated samples generated by DeepSeek-R1 and demonstrates strong reasoning capabilities. It achieved impressive results across various benchmarks, including 92.8% accuracy on MATH-500, 55.5% pass rate on AIME 2024, and a rating of 1189 on CodeForces, showing remarkable mathematical and programming abilities for a 7B-scale model
Available Serverless
Run queries immediately, pay only for usage
$
0.05
/
$
0.05
Per 1M Tokens (input/output)
Metadata
Specification
State
Available
Architecture
Calibrated
No
Mixture of Experts
No
Total Parameters
7
Activated Parameters
7B
Reasoning
No
Precision
FP8
Context length
33K
Max Tokens
16K
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
Supported
Fim Completion
Supported
Chat Prefix Completion
Not supported
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Model FAQs: Usage, Deployment
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