Instructions to use mradermacher/Python-Code-13B-i1-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mradermacher/Python-Code-13B-i1-GGUF with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mradermacher/Python-Code-13B-i1-GGUF", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use mradermacher/Python-Code-13B-i1-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-13B-i1-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf mradermacher/Python-Code-13B-i1-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-13B-i1-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf mradermacher/Python-Code-13B-i1-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-13B-i1-GGUF:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf mradermacher/Python-Code-13B-i1-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-13B-i1-GGUF:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf mradermacher/Python-Code-13B-i1-GGUF:Q4_K_M
Use Docker
docker model run hf.co/mradermacher/Python-Code-13B-i1-GGUF:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use mradermacher/Python-Code-13B-i1-GGUF with Ollama:
ollama run hf.co/mradermacher/Python-Code-13B-i1-GGUF:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use mradermacher/Python-Code-13B-i1-GGUF with Docker Model Runner:
docker model run hf.co/mradermacher/Python-Code-13B-i1-GGUF:Q4_K_M
- Lemonade
How to use mradermacher/Python-Code-13B-i1-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull mradermacher/Python-Code-13B-i1-GGUF:Q4_K_M
Run and chat with the model
lemonade run user.Python-Code-13B-i1-GGUF-Q4_K_M
List all available models
lemonade list
- Atomic Chat
Download Python-Code-13B.i1-IQ2_XXS.gguf from mradermacher/Python-Code-13B-i1-GGUF: direct link, hf CLI and curl.
- Browser
- Download file 3.54 GB
-
https://huggingface.co/mradermacher/Python-Code-13B-i1-GGUF/resolve/main/Python-Code-13B.i1-IQ2_XXS.gguf
- Command line
-
hf download hf://mradermacher/Python-Code-13B-i1-GGUF/Python-Code-13B.i1-IQ2_XXS.gguf
-
curl -L -o Python-Code-13B.i1-IQ2_XXS.gguf https://huggingface.co/mradermacher/Python-Code-13B-i1-GGUF/resolve/main/Python-Code-13B.i1-IQ2_XXS.gguf
3.54 GB
- Xet hash:
- 8909d8cf59e5c52b0bb26b4cff4be7ae5acc709bfbcf20d785eb5c5ea98c6cd6
- Size of remote file:
- 3.54 GB
- SHA256:
- 46db967ff18a273bda1ecd982f879951ffa254b1c148c358b30bb958ed347aa8
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