Question 1

What is the cost of Qwen 2.5 14B Instruct by DigitalOcean?

Accepted Answer

Qwen 2.5 14B Instruct by DigitalOcean costs Free per 1M input tokens and Free per 1M output tokens.

Question 2

What is the context window of Qwen 2.5 14B Instruct by DigitalOcean?

Accepted Answer

Qwen 2.5 14B Instruct by DigitalOcean has a context window of 131K tokens. It supports up to 131K input tokens and can generate up to 131K output tokens.

Question 3

What are the capabilities of Qwen 2.5 14B Instruct by DigitalOcean?

Accepted Answer

Qwen 2.5 14B Instruct by DigitalOcean supports tool calling/function calling, adjustable temperature. It has open weights.

Question 4

What input and output types does Qwen 2.5 14B Instruct support?

Accepted Answer

Qwen 2.5 14B Instruct by DigitalOcean accepts text as input and can generate text as output.

Question 5

Is Qwen 2.5 14B Instruct by DigitalOcean open source?

Accepted Answer

Yes, Qwen 2.5 14B Instruct by DigitalOcean has open weights, meaning the model weights are publicly available for download and self-hosting.

Question 6

Does Qwen 2.5 14B Instruct support function calling?

Accepted Answer

Yes, Qwen 2.5 14B Instruct by DigitalOcean supports tool calling (also known as function calling), allowing it to interact with external tools and APIs during conversations.

Question 7

What is the knowledge cutoff date for Qwen 2.5 14B Instruct?

Accepted Answer

Qwen 2.5 14B Instruct by DigitalOcean has a knowledge cutoff date of 2024-09. This means the model was trained on data available up until that date.

Qwen 2.5 14B Instruct API

Input Modalities

Output Modalities

Standard (per 1M tokens)

Qwen 2.5 14B Instruct API

Input Modalities

Output Modalities

Standard (per 1M tokens)