DeepSeek R1 Distill Qwen 14B is a distilled large language model based on Qwen 2.5 14B, using outputs from DeepSeek R1. It outperforms OpenAI's o1-mini across various benchmarks, achieving new state-of-the-art results for dense models.
Other benchmark results include:
AIME 2024 pass@1: 69.7
MATH-500 pass@1: 93.9
CodeForces Rating: 1481
The model leverages fine-tuning from DeepSeek R1's outputs, enabling competitive performance comparable to larger frontier models.
Features
On-demand Deployments
Docs
On-demand deployments allow you to use deepseek/deepseek-r1-distill-qwen-14b on dedicated GPUs with high-performance serving stack with high reliability and no rate limits.
Info
Provider
DeepSeek
Quantization
bf16
Supported Functionality
Context Length
32768
Max Output
16384
Serverless
Not supported
Input Capabilities
text
Output Capabilities
text
Everything you need to build production AI.
200+ models, on-demand GPUs, and secure agent runtimes — unified under one API. Free to start, scales as you grow.