Instructions to use s-emanuilov/query-expansion-Qwen2.5-7B-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use s-emanuilov/query-expansion-Qwen2.5-7B-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-Qwen2.5-7B-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 Settings

llama.cpp

How to use s-emanuilov/query-expansion-Qwen2.5-7B-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-Qwen2.5-7B-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf s-emanuilov/query-expansion-Qwen2.5-7B-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-Qwen2.5-7B-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf s-emanuilov/query-expansion-Qwen2.5-7B-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-Qwen2.5-7B-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf s-emanuilov/query-expansion-Qwen2.5-7B-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-Qwen2.5-7B-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf s-emanuilov/query-expansion-Qwen2.5-7B-GGUF:Q4_K_M

Use Docker

docker model run hf.co/s-emanuilov/query-expansion-Qwen2.5-7B-GGUF:Q4_K_M

LM Studio
Jan
Ollama
How to use s-emanuilov/query-expansion-Qwen2.5-7B-GGUF with Ollama:
```
ollama run hf.co/s-emanuilov/query-expansion-Qwen2.5-7B-GGUF:Q4_K_M
```

Unsloth Studio

How to use s-emanuilov/query-expansion-Qwen2.5-7B-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-Qwen2.5-7B-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-Qwen2.5-7B-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-Qwen2.5-7B-GGUF to start chatting

How to use s-emanuilov/query-expansion-Qwen2.5-7B-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-Qwen2.5-7B-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-Qwen2.5-7B-GGUF:Q4_K_M"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Hermes Agent new

How to use s-emanuilov/query-expansion-Qwen2.5-7B-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-Qwen2.5-7B-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-Qwen2.5-7B-GGUF:Q4_K_M

Run Hermes

hermes

Atomic Chat new
Docker Model Runner
How to use s-emanuilov/query-expansion-Qwen2.5-7B-GGUF with Docker Model Runner:
```
docker model run hf.co/s-emanuilov/query-expansion-Qwen2.5-7B-GGUF:Q4_K_M
```

Lemonade

How to use s-emanuilov/query-expansion-Qwen2.5-7B-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull s-emanuilov/query-expansion-Qwen2.5-7B-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.query-expansion-Qwen2.5-7B-GGUF-Q4_K_M

List all available models

lemonade list

Query Expansion GGUF - based on Qwen2.5-7B

GGUF quantized version of Qwen2.5-7B 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: Qwen2.5-7B
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

LoRA Adaptors

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:

"current apple share value"
"latest updates on apple's market position"
"how is apple performing in the current market?"
"what is the latest information on apple's financial standing?"

Citation

If you find my work helpful, feel free to give me a citation.

Downloads last month: 118

GGUF

Model size

8B params

Architecture

qwen2

Hardware compatibility

3-bit

4-bit

5-bit

8-bit

16-bit

Inference Providers NEW

This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

Dataset used to train s-emanuilov/query-expansion-Qwen2.5-7B-GGUF

Collection including s-emanuilov/query-expansion-Qwen2.5-7B-GGUF

Query expansion

Collection

A collection of models along with the training dataset, designed to improve search queries and retrieval in RAG systems. • 7 items • Updated Jan 21, 2025 • 1