DeepSeek-R1-Distill-Qwen-1.5B
About DeepSeek-R1-Distill-Qwen-1.5B
DeepSeek-R1-Distill-Qwen-1.5B is a distilled model based on Qwen2.5-Math-1.5B. The model was fine-tuned using 800k curated samples generated by DeepSeek-R1 and demonstrates decent performance across various benchmarks. As a lightweight model, it achieved 83.9% accuracy on MATH-500, 28.9% pass rate on AIME 2024, and a rating of 954 on CodeForces, showing reasoning capabilities beyond its parameter scale
Metadata
Specification
State
Deprecated
Architecture
Calibrated
No
Mixture of Experts
No
Total Parameters
2B
Activated Parameters
Reasoning
No
Precision
FP8
Context length
33K
Max Tokens
Compare with Other Models
See how this model stacks up against others.
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Max output:
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Input:
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/ M Tokens
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Input:
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Max output:
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Input:
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/ M Tokens
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Max output:
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Input:
$
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Max output:
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Input:
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/ M Tokens
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Max output:
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Input:
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Max output:
131K
Input:
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Output:
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Max output:
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Input:
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/ M Tokens
Output:
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/ M Tokens
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Total Context:
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Max output:
16K
Input:
$
0.05
/ M Tokens
Output:
$
0.05
/ M Tokens
