DeepSeek R1 Distilled Qwen 1.5B
Small Qwen 1.5B distilled with reasoning capabilities from Deepseek R1. Beats GPT-4o on MATH-500 whilst being a fraction of the size.
Chat
Reasoning
API Usage
How to use DeepSeek R1 Distilled Qwen 1.5BModel CardPrompting DeepSeek R1 Distilled Qwen 1.5BApplications & Use CasesAPI Usage
Endpoint
deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B
RUN INFERENCE
curl -X POST "https://aitradestore.com/api/v1/chat/completions"
-H "Authorization: Bearer $AITRADESTORE_API_KEY"
-H "Content-Type: application/json"
-d '{
"model": "deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B",
"messages": [{"role": "user", "content": "What are some fun things to do in New York?"}]
}'JSON RESPONSE
RUN INFERENCE
from aitradestore import AiTradeStore client = AiTradeStore()
response = client.chat.completions.create(
model="deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B",
messages=[{"role": "user", "content": "What are some fun things to do in New York?"}], ) print(response.choices[0].message.content)JSON RESPONSE
RUN INFERENCE
import AiTradeStore from "ai-tradestore"; const aitradestore = new AiTradeStore(); const response = await aitradestore.chat.completions.create({
messages: [{"role": "user", "content": "What are some fun things to do in New York?"}],
model: "deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B", });
console.log(response.choices[0].message.content)JSON RESPONSE
Model Provider:
DeepSeek
Type:
Chat
Variant:
Distilled
Parameters:
1.5B
Deployment:
✔ Serverless ✔ Dedicated
Quantization
FP16
Context length:
Pricing:
$0.18
