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DeepSeek R1 Distill Qwen 14B
deepseek/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.
Features
Serverless API
Docs
deepseek/deepseek-r1-distill-qwen-14b is available via Novita's serverless API, where you pay per token. There are several ways to call the API, including OpenAI-compatible endpoints with exceptional reasoning performance.
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.
Available Serverless
Run queries immediately, pay only for usage
Input$0.15 / M Tokens
Output$0.15 / M Tokens
Use the following code examples to integrate with our API:
1from openai import OpenAI
2
3client = OpenAI(
4 api_key="<Your API Key>",
5 base_url="https://api.novita.ai/openai"
6)
7
8response = client.chat.completions.create(
9 model="deepseek/deepseek-r1-distill-qwen-14b",
10 messages=[
11 {"role": "system", "content": "You are a helpful assistant."},
12 {"role": "user", "content": "Hello, how are you?"}
13 ],
14 max_tokens=16384,
15 temperature=0.7
16)
17
18print(response.choices[0].message.content)Info
Provider
DeepSeek
Quantization
bf16
Supported Functionality
Context Length
32768
Max Output
16384
Structured Output
Supported
Reasoning
Supported
Input Capabilities
text
Output Capabilities
text