The workhorse of a private loop: it answers faster than you finish reading and fits even an old V100. Speaks Russian, follows instructions and does not fall apart on long prompts — start here if you are not sure which model you need yet.
| MMLU | 74.5 | |
|---|---|---|
| GSM8K | 91.6 | |
| HumanEval | 84.8 |
Which GPU does Qwen2.5 7B need?
The entry configuration is 1x V100, which delivers around 28 tokens per second. For more parallel requests and headroom on speed, go with 1x H100.
How much does Qwen2.5 7B cost?
An hour of Qwen2.5 7B runs from $0.21 to $3.43 depending on the GPU configuration. Billing is hourly: you pay for server time, not for tokens.
How do I call Qwen2.5 7B from my code?
Once deployed you get an OpenAI-compatible endpoint: point any OpenAI client at the base_url you receive and pass qwen2.5:7b as the model name. Code written against the OpenAI API needs no changes.
Does the data stay private?
Yes. Qwen2.5 7B runs on a dedicated GPU server inside a private loop: requests and responses never reach the model vendor and are not used for training.
What context window and license does Qwen2.5 7B have?
Qwen2.5 7B holds 32K tokens of context per request and ships under the Apache 2.0 license, so you can use it commercially on your own hosting terms.