Instructions to use switlydev/Benim-Ozel-Coder-Modelim with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use switlydev/Benim-Ozel-Coder-Modelim 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 switlydev/Benim-Ozel-Coder-Modelim:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf switlydev/Benim-Ozel-Coder-Modelim:Q4_K_M

Install from WinGet (Windows)

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

Use Docker

docker model run hf.co/switlydev/Benim-Ozel-Coder-Modelim:Q4_K_M

LM Studio
Jan
Ollama
How to use switlydev/Benim-Ozel-Coder-Modelim with Ollama:
```
ollama run hf.co/switlydev/Benim-Ozel-Coder-Modelim:Q4_K_M
```

Unsloth Studio

How to use switlydev/Benim-Ozel-Coder-Modelim 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 switlydev/Benim-Ozel-Coder-Modelim 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 switlydev/Benim-Ozel-Coder-Modelim to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for switlydev/Benim-Ozel-Coder-Modelim to start chatting

Docker Model Runner
How to use switlydev/Benim-Ozel-Coder-Modelim with Docker Model Runner:
```
docker model run hf.co/switlydev/Benim-Ozel-Coder-Modelim:Q4_K_M
```

Lemonade

How to use switlydev/Benim-Ozel-Coder-Modelim with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull switlydev/Benim-Ozel-Coder-Modelim:Q4_K_M

Run and chat with the model

lemonade run user.Benim-Ozel-Coder-Modelim-Q4_K_M

List all available models

lemonade list

Atomic Chat

Benim-Ozel-Coder-Modelim / .gitattributes

Commit History

Trained with Unsloth

b8f80a3
verified

Lunder commited on May 28

initial commit

c4020cc
verified

Lunder commited on May 28

Commit History

Trained with Unsloth b8f80a3 verified

initial commit c4020cc verified

Trained with Unsloth

b8f80a3
verified

initial commit

c4020cc
verified