Instructions to use tykan/KURE-Reranker-nano-GGUF 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 tykan/KURE-Reranker-nano-GGUF with llama.cpp:
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible embeddings server: llama serve -hf tykan/KURE-Reranker-nano-GGUF:F16 --embeddings
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible embeddings server: llama serve -hf tykan/KURE-Reranker-nano-GGUF:F16 --embeddings
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 embeddings server: ./build/bin/llama serve -hf tykan/KURE-Reranker-nano-GGUF:F16 --embeddings
- Llama new
- LM Studio
- Jan
- Ollama
How to use tykan/KURE-Reranker-nano-GGUF with Ollama:
ollama run hf.co/tykan/KURE-Reranker-nano-GGUF:F16
- Unsloth Desktop
- Docker Model Runner
How to use tykan/KURE-Reranker-nano-GGUF with Docker Model Runner:
docker model run hf.co/tykan/KURE-Reranker-nano-GGUF:F16
- Lemonade
How to use tykan/KURE-Reranker-nano-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull tykan/KURE-Reranker-nano-GGUF:F16
Run and chat with the model
lemonade run user.KURE-Reranker-nano-GGUF-F16
List all available models
lemonade list
- Atomic Chat
Commit History
Yesterday
-
Document F32 and F16 files
Verified signature96a9b5a -
Add F32 GGUF (original precision)
Verified signaturea30e0c9 -
Clarify F16 precision vs original F32
Verified signature81bbb62 -
Document tokenizer differences (Hanja, non-NFC input)
Verified signaturef6038bb -
Add F16 GGUF of nlpai-lab/KURE-Reranker-nano (8514b9e)
Verified signature0e8b97b -
initial commit
Verified signature37b2653