Instructions to use mradermacher/Python-Code-Completer-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mradermacher/Python-Code-Completer-GGUF with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mradermacher/Python-Code-Completer-GGUF", dtype="auto") - llama-cpp-python
How to use mradermacher/Python-Code-Completer-GGUF with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="mradermacher/Python-Code-Completer-GGUF", filename="Python-Code-Completer.IQ4_XS.gguf", )
output = llm( "Once upon a time,", max_tokens=512, echo=True ) print(output)
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- llama.cpp
How to use mradermacher/Python-Code-Completer-GGUF with llama.cpp:
Install from brew
brew install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf mradermacher/Python-Code-Completer-GGUF:Q4_K_M # Run inference directly in the terminal: llama-cli -hf mradermacher/Python-Code-Completer-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 mradermacher/Python-Code-Completer-GGUF:Q4_K_M # Run inference directly in the terminal: llama-cli -hf mradermacher/Python-Code-Completer-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 mradermacher/Python-Code-Completer-GGUF:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf mradermacher/Python-Code-Completer-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 mradermacher/Python-Code-Completer-GGUF:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf mradermacher/Python-Code-Completer-GGUF:Q4_K_M
Use Docker
docker model run hf.co/mradermacher/Python-Code-Completer-GGUF:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use mradermacher/Python-Code-Completer-GGUF with Ollama:
ollama run hf.co/mradermacher/Python-Code-Completer-GGUF:Q4_K_M
- Unsloth Studio new
How to use mradermacher/Python-Code-Completer-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 mradermacher/Python-Code-Completer-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 mradermacher/Python-Code-Completer-GGUF to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for mradermacher/Python-Code-Completer-GGUF to start chatting
- Docker Model Runner
How to use mradermacher/Python-Code-Completer-GGUF with Docker Model Runner:
docker model run hf.co/mradermacher/Python-Code-Completer-GGUF:Q4_K_M
- Lemonade
How to use mradermacher/Python-Code-Completer-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull mradermacher/Python-Code-Completer-GGUF:Q4_K_M
Run and chat with the model
lemonade run user.Python-Code-Completer-GGUF-Q4_K_M
List all available models
lemonade list
- Xet hash:
- bc6bbf90d46ca29722bdb68e2ea2a3c956d2de53cb4da0017a0be880c4b446b7
- Size of remote file:
- 1.65 GB
- SHA256:
- 8d7f95ced885eee7ac1ec20401032b1e364022ea648f9d7333f42462a0a6e175
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