DeepSeek R1 Distill Qwen 14B
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.
- Tool Use
main.py
from openai import OpenAI client = OpenAI( base_url="https://api.respan.ai/api/", api_key="YOUR_RESPAN_API_KEY",) response = client.chat.completions.create( model="novita/deepseek/deepseek-r1-distill-qwen-14b", messages=[{"role": "user", "content": "Hello!"}], extra_body={ "fallback_models": ["deepseek/deepseek-r1-distill-qwen-14b"], },)print(response.choices[0].message.content)from openai import OpenAI client = OpenAI( base_url="https://api.respan.ai/api/", api_key="YOUR_RESPAN_API_KEY",) response = client.chat.completions.create( model="novita/deepseek/deepseek-r1-distill-qwen-14b", messages=[{"role": "user", "content": "Hello!"}], extra_body={ "fallback_models": ["deepseek/deepseek-r1-distill-qwen-14b"], },)print(response.choices[0].message.content)Providers
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