- Libraries
- sentence-transformers
How to use nimishchaudhari/zerank-1-small-Q6_K-GGUF with sentence-transformers:
from sentence_transformers import CrossEncoder
model = CrossEncoder("nimishchaudhari/zerank-1-small-Q6_K-GGUF")
query = "Which planet is known as the Red Planet?"
passages = [
"Venus is often called Earth's twin because of its similar size and proximity.",
"Mars, known for its reddish appearance, is often referred to as the Red Planet.",
"Jupiter, the largest planet in our solar system, has a prominent red spot.",
"Saturn, famous for its rings, is sometimes mistaken for the Red Planet."
]
scores = model.predict([(query, passage) for passage in passages])
print(scores) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use nimishchaudhari/zerank-1-small-Q6_K-GGUF 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 nimishchaudhari/zerank-1-small-Q6_K-GGUF:Q6_K
# Run inference directly in the terminal:
llama cli -hf nimishchaudhari/zerank-1-small-Q6_K-GGUF:Q6_K
Install from WinGet (Windows)
winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf nimishchaudhari/zerank-1-small-Q6_K-GGUF:Q6_K
# Run inference directly in the terminal:
llama cli -hf nimishchaudhari/zerank-1-small-Q6_K-GGUF:Q6_K
Use pre-built binary
# Download pre-built binary from:
# https://github.com/ggerganov/llama.cpp/releases
# Start a local OpenAI-compatible server with a web UI:
./llama-server -hf nimishchaudhari/zerank-1-small-Q6_K-GGUF:Q6_K
# Run inference directly in the terminal:
./llama-cli -hf nimishchaudhari/zerank-1-small-Q6_K-GGUF:Q6_K
Build from source code
git clone https://github.com/ggerganov/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-server llama-cli
# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama-server -hf nimishchaudhari/zerank-1-small-Q6_K-GGUF:Q6_K
# Run inference directly in the terminal:
./build/bin/llama-cli -hf nimishchaudhari/zerank-1-small-Q6_K-GGUF:Q6_K
Use Docker
docker model run hf.co/nimishchaudhari/zerank-1-small-Q6_K-GGUF:Q6_K
- LM Studio
- Jan
- Ollama
How to use nimishchaudhari/zerank-1-small-Q6_K-GGUF with Ollama:
ollama run hf.co/nimishchaudhari/zerank-1-small-Q6_K-GGUF:Q6_K
- Unsloth Desktop
- Pi
How to use nimishchaudhari/zerank-1-small-Q6_K-GGUF with Pi:
Start the llama.cpp server
# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf nimishchaudhari/zerank-1-small-Q6_K-GGUF:Q6_K
Configure the model in Pi
# Install Pi:
npm install -g @earendil-works/pi-coding-agent
# Add to ~/.pi/agent/models.json:
{
"providers": {
"llama-cpp": {
"baseUrl": "http://localhost:8080/v1",
"api": "openai-completions",
"apiKey": "none",
"models": [
{
"id": "nimishchaudhari/zerank-1-small-Q6_K-GGUF:Q6_K"
}
]
}
}
}Run Pi
# Start Pi in your project directory:
pi
- Docker Model Runner
How to use nimishchaudhari/zerank-1-small-Q6_K-GGUF with Docker Model Runner:
docker model run hf.co/nimishchaudhari/zerank-1-small-Q6_K-GGUF:Q6_K
- Lemonade
How to use nimishchaudhari/zerank-1-small-Q6_K-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/
lemonade pull nimishchaudhari/zerank-1-small-Q6_K-GGUF:Q6_K
Run and chat with the model
lemonade run user.zerank-1-small-Q6_K-GGUF-Q6_K
List all available models
lemonade list
- Hermes Agent
How to use nimishchaudhari/zerank-1-small-Q6_K-GGUF with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf nimishchaudhari/zerank-1-small-Q6_K-GGUF:Q6_K
Configure Hermes
# Install Hermes:
curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash
hermes setup
# Point Hermes at the local server:
hermes config set model.provider custom
hermes config set model.base_url http://127.0.0.1:8080/v1
hermes config set model.default nimishchaudhari/zerank-1-small-Q6_K-GGUF:Q6_K
Run Hermes
hermes
- Atomic Chat
- OpenClaw
How to use nimishchaudhari/zerank-1-small-Q6_K-GGUF with OpenClaw:
Start the llama.cpp server
# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf nimishchaudhari/zerank-1-small-Q6_K-GGUF:Q6_K
Configure OpenClaw
# Install OpenClaw:
npm install -g openclaw@latest
# Register the local server and set it as the default model:
openclaw onboard --non-interactive --mode local \
--auth-choice custom-api-key \
--custom-base-url http://127.0.0.1:8080/v1 \
--custom-model-id "nimishchaudhari/zerank-1-small-Q6_K-GGUF:Q6_K" \
--custom-provider-id llama-cpp \
--custom-compatibility openai \
--custom-text-input \
--accept-risk \
--skip-health
Run OpenClaw
openclaw agent --local --agent main --message "Hello from Hugging Face"
