Instructions to use featherless-ai-quants/XGenerationLab-XiYanSQL-QwenCoder-32B-2504-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
How to use featherless-ai-quants/XGenerationLab-XiYanSQL-QwenCoder-32B-2504-GGUF with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="featherless-ai-quants/XGenerationLab-XiYanSQL-QwenCoder-32B-2504-GGUF", filename="XGenerationLab-XiYanSQL-QwenCoder-32B-2504-IQ4_XS.gguf", )
llm.create_chat_completion( messages = [ { "role": "user", "content": "What is the capital of France?" } ] ) - Notebooks
- Google Colab
- Kaggle
- Local Apps
- llama.cpp
How to use featherless-ai-quants/XGenerationLab-XiYanSQL-QwenCoder-32B-2504-GGUF with llama.cpp:
Install from brew
brew install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf featherless-ai-quants/XGenerationLab-XiYanSQL-QwenCoder-32B-2504-GGUF:Q4_K_M # Run inference directly in the terminal: llama-cli -hf featherless-ai-quants/XGenerationLab-XiYanSQL-QwenCoder-32B-2504-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 featherless-ai-quants/XGenerationLab-XiYanSQL-QwenCoder-32B-2504-GGUF:Q4_K_M # Run inference directly in the terminal: llama-cli -hf featherless-ai-quants/XGenerationLab-XiYanSQL-QwenCoder-32B-2504-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 featherless-ai-quants/XGenerationLab-XiYanSQL-QwenCoder-32B-2504-GGUF:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf featherless-ai-quants/XGenerationLab-XiYanSQL-QwenCoder-32B-2504-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 featherless-ai-quants/XGenerationLab-XiYanSQL-QwenCoder-32B-2504-GGUF:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf featherless-ai-quants/XGenerationLab-XiYanSQL-QwenCoder-32B-2504-GGUF:Q4_K_M
Use Docker
docker model run hf.co/featherless-ai-quants/XGenerationLab-XiYanSQL-QwenCoder-32B-2504-GGUF:Q4_K_M
- LM Studio
- Jan
- vLLM
How to use featherless-ai-quants/XGenerationLab-XiYanSQL-QwenCoder-32B-2504-GGUF with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "featherless-ai-quants/XGenerationLab-XiYanSQL-QwenCoder-32B-2504-GGUF" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "featherless-ai-quants/XGenerationLab-XiYanSQL-QwenCoder-32B-2504-GGUF", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/featherless-ai-quants/XGenerationLab-XiYanSQL-QwenCoder-32B-2504-GGUF:Q4_K_M
- Ollama
How to use featherless-ai-quants/XGenerationLab-XiYanSQL-QwenCoder-32B-2504-GGUF with Ollama:
ollama run hf.co/featherless-ai-quants/XGenerationLab-XiYanSQL-QwenCoder-32B-2504-GGUF:Q4_K_M
- Unsloth Studio new
How to use featherless-ai-quants/XGenerationLab-XiYanSQL-QwenCoder-32B-2504-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 featherless-ai-quants/XGenerationLab-XiYanSQL-QwenCoder-32B-2504-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 featherless-ai-quants/XGenerationLab-XiYanSQL-QwenCoder-32B-2504-GGUF to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for featherless-ai-quants/XGenerationLab-XiYanSQL-QwenCoder-32B-2504-GGUF to start chatting
- Pi new
How to use featherless-ai-quants/XGenerationLab-XiYanSQL-QwenCoder-32B-2504-GGUF with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama-server -hf featherless-ai-quants/XGenerationLab-XiYanSQL-QwenCoder-32B-2504-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": "featherless-ai-quants/XGenerationLab-XiYanSQL-QwenCoder-32B-2504-GGUF:Q4_K_M" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Hermes Agent new
How to use featherless-ai-quants/XGenerationLab-XiYanSQL-QwenCoder-32B-2504-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 featherless-ai-quants/XGenerationLab-XiYanSQL-QwenCoder-32B-2504-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 featherless-ai-quants/XGenerationLab-XiYanSQL-QwenCoder-32B-2504-GGUF:Q4_K_M
Run Hermes
hermes
- Docker Model Runner
How to use featherless-ai-quants/XGenerationLab-XiYanSQL-QwenCoder-32B-2504-GGUF with Docker Model Runner:
docker model run hf.co/featherless-ai-quants/XGenerationLab-XiYanSQL-QwenCoder-32B-2504-GGUF:Q4_K_M
- Lemonade
How to use featherless-ai-quants/XGenerationLab-XiYanSQL-QwenCoder-32B-2504-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull featherless-ai-quants/XGenerationLab-XiYanSQL-QwenCoder-32B-2504-GGUF:Q4_K_M
Run and chat with the model
lemonade run user.XGenerationLab-XiYanSQL-QwenCoder-32B-2504-GGUF-Q4_K_M
List all available models
lemonade list
XGenerationLab/XiYanSQL-QwenCoder-32B-2504 GGUF Quantizations ๐
Optimized GGUF quantization files for enhanced model performance
Powered by Featherless AI - run any model you'd like for a simple small fee.
Available Quantizations ๐
| Quantization Type | File | Size |
|---|---|---|
| IQ4_XS | XGenerationLab-XiYanSQL-QwenCoder-32B-2504-IQ4_XS.gguf | 17042.26 MB |
| Q2_K | XGenerationLab-XiYanSQL-QwenCoder-32B-2504-Q2_K.gguf | 11742.69 MB |
| Q3_K_L | XGenerationLab-XiYanSQL-QwenCoder-32B-2504-Q3_K_L.gguf | 16448.10 MB |
| Q3_K_M | XGenerationLab-XiYanSQL-QwenCoder-32B-2504-Q3_K_M.gguf | 15196.85 MB |
| Q3_K_S | XGenerationLab-XiYanSQL-QwenCoder-32B-2504-Q3_K_S.gguf | 13725.60 MB |
| Q4_K_M | XGenerationLab-XiYanSQL-QwenCoder-32B-2504-Q4_K_M.gguf | 18931.71 MB |
| Q4_K_S | XGenerationLab-XiYanSQL-QwenCoder-32B-2504-Q4_K_S.gguf | 17914.21 MB |
| Q5_K_M | XGenerationLab-XiYanSQL-QwenCoder-32B-2504-Q5_K_M.gguf | 22184.52 MB |
| Q5_K_S | XGenerationLab-XiYanSQL-QwenCoder-32B-2504-Q5_K_S.gguf | 21589.52 MB |
| Q6_K | XGenerationLab-XiYanSQL-QwenCoder-32B-2504-Q6_K | 25640.64 MB (folder) |
| Q8_0 | XGenerationLab-XiYanSQL-QwenCoder-32B-2504-Q8_0 | 33207.78 MB (folder) |
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Key Features
- ๐ฅ Instant Hosting - Deploy any Llama model on HuggingFace instantly
- ๐ ๏ธ Zero Infrastructure - No server setup or maintenance required
- ๐ Vast Compatibility - Support for 2400+ models and counting
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Base model
XGenerationLab/XiYanSQL-QwenCoder-32B-2412