Instructions to use Warzaolski/codes with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use Warzaolski/codes 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 Warzaolski/codes:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf Warzaolski/codes:Q4_K_M

Install from WinGet (Windows)

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

Use Docker

docker model run hf.co/Warzaolski/codes:Q4_K_M

LM Studio
Jan
Ollama
How to use Warzaolski/codes with Ollama:
```
ollama run hf.co/Warzaolski/codes:Q4_K_M
```

Unsloth Studio

How to use Warzaolski/codes 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 Warzaolski/codes 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 Warzaolski/codes to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for Warzaolski/codes to start chatting

Docker Model Runner
How to use Warzaolski/codes with Docker Model Runner:
```
docker model run hf.co/Warzaolski/codes:Q4_K_M
```

Lemonade

How to use Warzaolski/codes with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull Warzaolski/codes:Q4_K_M

Run and chat with the model

lemonade run user.codes-Q4_K_M

List all available models

lemonade list

Atomic Chat

codes / pro.zip

Warzaolski

Upload 2 files

9374396 3 months ago

Download

History Blame Contribute Delete

4.75 GB

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:: 5542baee226adcc68c8d3bc898804a506f53d7398a3ffd9f88fc3cff67af7bdc
Size of remote file:: 4.75 GB
SHA256:: 6977b34147eba6e4d04b13576db1d26bc20a4d22bd8a142e00e86d4ab05849a1

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

Warzaolski
/

codes

Pickle imports

Xet Pointer Details