Instructions to use s-emanuilov/query-expansion-Llama-3.2-3B-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
How to use s-emanuilov/query-expansion-Llama-3.2-3B-GGUF with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="s-emanuilov/query-expansion-Llama-3.2-3B-GGUF", filename="query-expansion.F16.gguf", )
llm.create_chat_completion( messages = "No input example has been defined for this model task." )
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- llama.cpp
How to use s-emanuilov/query-expansion-Llama-3.2-3B-GGUF with llama.cpp:
Install from brew
brew install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf s-emanuilov/query-expansion-Llama-3.2-3B-GGUF:Q4_K_M # Run inference directly in the terminal: llama-cli -hf s-emanuilov/query-expansion-Llama-3.2-3B-GGUF:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf s-emanuilov/query-expansion-Llama-3.2-3B-GGUF:Q4_K_M # Run inference directly in the terminal: llama-cli -hf s-emanuilov/query-expansion-Llama-3.2-3B-GGUF:Q4_K_M
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 s-emanuilov/query-expansion-Llama-3.2-3B-GGUF:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf s-emanuilov/query-expansion-Llama-3.2-3B-GGUF:Q4_K_M
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 s-emanuilov/query-expansion-Llama-3.2-3B-GGUF:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf s-emanuilov/query-expansion-Llama-3.2-3B-GGUF:Q4_K_M
Use Docker
docker model run hf.co/s-emanuilov/query-expansion-Llama-3.2-3B-GGUF:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use s-emanuilov/query-expansion-Llama-3.2-3B-GGUF with Ollama:
ollama run hf.co/s-emanuilov/query-expansion-Llama-3.2-3B-GGUF:Q4_K_M
- Unsloth Studio new
How to use s-emanuilov/query-expansion-Llama-3.2-3B-GGUF with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for s-emanuilov/query-expansion-Llama-3.2-3B-GGUF to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for s-emanuilov/query-expansion-Llama-3.2-3B-GGUF to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for s-emanuilov/query-expansion-Llama-3.2-3B-GGUF to start chatting
- Pi new
How to use s-emanuilov/query-expansion-Llama-3.2-3B-GGUF with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama-server -hf s-emanuilov/query-expansion-Llama-3.2-3B-GGUF:Q4_K_M
Configure the model in Pi
# Install Pi: npm install -g @mariozechner/pi-coding-agent # Add to ~/.pi/agent/models.json: { "providers": { "llama-cpp": { "baseUrl": "http://localhost:8080/v1", "api": "openai-completions", "apiKey": "none", "models": [ { "id": "s-emanuilov/query-expansion-Llama-3.2-3B-GGUF:Q4_K_M" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Hermes Agent new
How to use s-emanuilov/query-expansion-Llama-3.2-3B-GGUF with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama-server -hf s-emanuilov/query-expansion-Llama-3.2-3B-GGUF:Q4_K_M
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 s-emanuilov/query-expansion-Llama-3.2-3B-GGUF:Q4_K_M
Run Hermes
hermes
- Docker Model Runner
How to use s-emanuilov/query-expansion-Llama-3.2-3B-GGUF with Docker Model Runner:
docker model run hf.co/s-emanuilov/query-expansion-Llama-3.2-3B-GGUF:Q4_K_M
- Lemonade
How to use s-emanuilov/query-expansion-Llama-3.2-3B-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull s-emanuilov/query-expansion-Llama-3.2-3B-GGUF:Q4_K_M
Run and chat with the model
lemonade run user.query-expansion-Llama-3.2-3B-GGUF-Q4_K_M
List all available models
lemonade list
Query Expansion GGUF - based on Llama-3.2-3B
GGUF quantized version of Llama-3.2-3B for query expansion task. Part of a collection of query expansion models available in different architectures and sizes.
Overview
Task: Search query expansion
Base model: Llama-3.2-3B-Instruct
Training data: Query Expansion Dataset
Quantized Versions
Model available in multiple quantization formats:
- F16 (Original size)
- Q8_0 (~8-bit quantization)
- Q5_K_M (~5-bit quantization)
- Q4_K_M (~4-bit quantization)
- Q3_K_M (~3-bit quantization)
Related Models
Fine-tuned models
GGUF Variants
Details
This model is designed for enhancing search and retrieval systems by generating semantically relevant query expansions.
It could be useful for:
- Advanced RAG systems
- Search enhancement
- Query preprocessing
- Low-latency query expansion
Example
Input: "apple stock" Expansions:
- "apple market"
- "apple news"
- "apple stock price"
- "apple stock forecast"
Citation
If you find my work helpful, feel free to give me a citation.
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