Instructions to use tensorblock/Python-Code-33B-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use tensorblock/Python-Code-33B-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 tensorblock/Python-Code-33B-GGUF:Q2_K # Run inference directly in the terminal: llama cli -hf tensorblock/Python-Code-33B-GGUF:Q2_K
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf tensorblock/Python-Code-33B-GGUF:Q2_K # Run inference directly in the terminal: llama cli -hf tensorblock/Python-Code-33B-GGUF:Q2_K
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 tensorblock/Python-Code-33B-GGUF:Q2_K # Run inference directly in the terminal: ./build/bin/llama cli -hf tensorblock/Python-Code-33B-GGUF:Q2_K
Use Docker
docker model run hf.co/tensorblock/Python-Code-33B-GGUF:Q2_K
- Llama new
- LM Studio
- Jan
- Ollama
How to use tensorblock/Python-Code-33B-GGUF with Ollama:
ollama run hf.co/tensorblock/Python-Code-33B-GGUF:Q2_K
- Unsloth Desktop
- Docker Model Runner
How to use tensorblock/Python-Code-33B-GGUF with Docker Model Runner:
docker model run hf.co/tensorblock/Python-Code-33B-GGUF:Q2_K
- Lemonade
How to use tensorblock/Python-Code-33B-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull tensorblock/Python-Code-33B-GGUF:Q2_K
Run and chat with the model
lemonade run user.Python-Code-33B-GGUF-Q2_K
List all available models
lemonade list
- Atomic Chat
Download Python-Code-33B-Q2_K.gguf from tensorblock/Python-Code-33B-GGUF: direct link, hf CLI and curl.
- Browser
- Download file 12 GB
-
https://huggingface.co/tensorblock/Python-Code-33B-GGUF/resolve/28b5951ab09f279f36926f23410ae4b61cf2408c/Python-Code-33B-Q2_K.gguf
- Command line
-
hf download hf://tensorblock/Python-Code-33B-GGUF@28b5951ab09f279f36926f23410ae4b61cf2408c/Python-Code-33B-Q2_K.gguf
-
curl -L -o Python-Code-33B-Q2_K.gguf https://huggingface.co/tensorblock/Python-Code-33B-GGUF/resolve/28b5951ab09f279f36926f23410ae4b61cf2408c/Python-Code-33B-Q2_K.gguf
12 GB
- Xet hash:
- aa3ed06c4df4f0709fccdded673d5d453dbff92fbd2c7baa7d702114817a8bc6
- Size of remote file:
- 12 GB
- SHA256:
- 7d829d403da7dcf2751ec2f6775141cfcc54706db2f4dab68ea62133b83a9838
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