Instructions to use woollyone/QURSE-browser-demo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use woollyone/QURSE-browser-demo with llama.cpp:
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf woollyone/QURSE-browser-demo # Run inference directly in the terminal: llama cli -hf woollyone/QURSE-browser-demo
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf woollyone/QURSE-browser-demo # Run inference directly in the terminal: llama cli -hf woollyone/QURSE-browser-demo
Build from source code
git clone https://github.com/ggml-org/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-app # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama serve -hf woollyone/QURSE-browser-demo # Run inference directly in the terminal: ./build/bin/llama cli -hf woollyone/QURSE-browser-demo
Use Docker
docker model run hf.co/woollyone/QURSE-browser-demo
- Llama new
- LM Studio
- Jan
- Ollama
How to use woollyone/QURSE-browser-demo with Ollama:
ollama run hf.co/woollyone/QURSE-browser-demo
- Unsloth Desktop
- Docker Model Runner
How to use woollyone/QURSE-browser-demo with Docker Model Runner:
docker model run hf.co/woollyone/QURSE-browser-demo
- Lemonade
How to use woollyone/QURSE-browser-demo with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull woollyone/QURSE-browser-demo
Run and chat with the model
lemonade run user.QURSE-browser-demo-{{QUANT_TAG}}List all available models
lemonade list
- Atomic Chat
QURSE browser demo weights
Exact inference files used by the QURSE Tongue Twisters Demo. No training data, recordings, credentials, or evaluation banks are included.
asr.gguf: Qwen3-ASR-0.6B speech recognition decoder.mmproj.gguf: matching Qwen audio projection / encoder.detector.onnx: QURSE FP32 stumble detector, lexical seed 29.
weights.json records byte sizes and SHA256 digests. The demo pins an immutable
Hub revision and verifies every downloaded or cached file before inference.
The complete download is 2,639,870,960 bytes. Recordings stay on the player's device.
Qwen components retain Apache-2.0; see LICENSE-QWEN-APACHE-2.0.txt. Original QURSE contributions by woollyone retain CC-BY-NC-2.0: https://creativecommons.org/licenses/by-nc/2.0/legalcode . See NOTICE.md for attribution. This package contains inference weights only.
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Model tree for woollyone/QURSE-browser-demo
Base model
Qwen/Qwen3-ASR-0.6B