Instructions to use mradermacher/python_code_generator-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use mradermacher/python_code_generator-GGUF with Transformers:

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("mradermacher/python_code_generator-GGUF", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use mradermacher/python_code_generator-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 mradermacher/python_code_generator-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf mradermacher/python_code_generator-GGUF:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf mradermacher/python_code_generator-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf mradermacher/python_code_generator-GGUF:Q4_K_M

Build from source code

git clone https://github.com/ggml-org/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-app
# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama serve -hf mradermacher/python_code_generator-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama cli -hf mradermacher/python_code_generator-GGUF:Q4_K_M

Use Docker

docker model run hf.co/mradermacher/python_code_generator-GGUF:Q4_K_M

Llama new
LM Studio
Jan
Ollama
How to use mradermacher/python_code_generator-GGUF with Ollama:
```
ollama run hf.co/mradermacher/python_code_generator-GGUF:Q4_K_M
```
Unsloth Desktop
Docker Model Runner
How to use mradermacher/python_code_generator-GGUF with Docker Model Runner:
```
docker model run hf.co/mradermacher/python_code_generator-GGUF:Q4_K_M
```

Lemonade

How to use mradermacher/python_code_generator-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull mradermacher/python_code_generator-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.python_code_generator-GGUF-Q4_K_M

List all available models

lemonade list

Atomic Chat

python_code_generator-GGUF / python_code_generator.Q4_K_S.gguf

mradermacher

uploaded from kaos

fa4b89b verified over 1 year ago

Download python_code_generator.Q4_K_S.gguf from mradermacher/python_code_generator-GGUF: direct link, hf CLI and curl.

Browser
Download file 85.1 MB

https://huggingface.co/mradermacher/python_code_generator-GGUF/resolve/8fcfe62d6d7890a6bcf2dedb37b36e02384b9c28/python_code_generator.Q4_K_S.gguf

Command line

hf download hf://mradermacher/python_code_generator-GGUF@8fcfe62d6d7890a6bcf2dedb37b36e02384b9c28/python_code_generator.Q4_K_S.gguf

curl -L -o python_code_generator.Q4_K_S.gguf https://huggingface.co/mradermacher/python_code_generator-GGUF/resolve/8fcfe62d6d7890a6bcf2dedb37b36e02384b9c28/python_code_generator.Q4_K_S.gguf

History Blame

85.1 MB

This file is stored with Xet . It is too big to display, but you can still download it.

Xet Pointer Details

( Raw pointer file )

Xet hash:: 8478a1756f74d2424a04a51d2b91be84e05ac78a819b13b832d99e339be3faef
Size of remote file:: 85.1 MB
SHA256:: 1598f148e3db35aa0b9793cbca05d9cff27938ac6325dc6b45b974e02f3795b3

Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.