CPU + 8 GB RAM
FP32 / quantized · TEI / Transformers
Official deployment supports CPU. Treat 8K as the safe default until long-context batches are measured.
Qwen
Embeddings model
A compact multilingual embedding model with flexible dimensions.
Capabilities
The most useful reasons to choose this model, without making you read through its repository first.
Semantic search
Code retrieval
Document clustering
For providers
The provider requirements live here, separate from the information you need to choose and use the model.
CPU + 8 GB RAM
FP32 / quantized · TEI / Transformers
Official deployment supports CPU. Treat 8K as the safe default until long-context batches are measured.
Source and license
OpenMayhem links back to the source repository so you can inspect the model card, files, license, limitations, and creator guidance directly.
Keep exploring