Skip to content
H

HyperQwen

Serve large Qwen models fast on the GPUs you actually own

by syv-aiFree

Launch
#1184in Utilities
0In stores

Description

Serve large Qwen models fast on the GPUs you actually own. Qwen3.8-27B on a single 24 GB card with vLLM: 127 tok/s single-user (381 when the…

Ratings & Reviews

No ratings yet

Be the first to rate HyperQwen.

People also visit

K

Kaldi Speech Recognition Toolkit

Create custom models, train easily

Utilities
Launch
T

Tsne Cuda

GPU Accelerated t-SNE for CUDA with Python bindings

Utilities
Launch
N

Node

GPU-accelerated data science and visualization in node

Utilities
Launch
V

VoxWeave

Local-first high-quality offline RVC voice conversion workstation

Utilities
Launch
B

Builder.io

Drag and drop page building using your code components

Utilities
Launch
E

Elasticsearch

Elasticsearch is an open-source, RESTful search engine designed

Utilities
Launch

HyperQwen FAQ

What is HyperQwen?

Serve large Qwen models fast on the GPUs you actually own. Qwen3.8-27B on a single 24 GB card with vLLM: 127 tok/s single-user (381 when the answer quotes the prompt), ~1,035 tok/s at 64 concurrent, 150k-262k context. vLLM patches, requant pipeline, benchmarks.

Is HyperQwen free?

Yes. HyperQwen is free to use.

Do I need to download HyperQwen?

No. HyperQwen runs in your browser at github.com, so there's nothing to install.

Who makes HyperQwen?

HyperQwen is made by syv-ai.

What are the best HyperQwen alternatives?

Popular alternatives to HyperQwen include Kaldi Speech Recognition Toolkit, Tsne Cuda and Node. See all HyperQwen alternatives

Developer Stuff

Badges