Instructions to use nozdev/ollama 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 nozdev/ollama 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 nozdev/ollama:Q5_K_M # Run inference directly in the terminal: llama cli -hf nozdev/ollama:Q5_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf nozdev/ollama:Q5_K_M # Run inference directly in the terminal: llama cli -hf nozdev/ollama:Q5_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 nozdev/ollama:Q5_K_M # Run inference directly in the terminal: ./llama-cli -hf nozdev/ollama:Q5_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 nozdev/ollama:Q5_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf nozdev/ollama:Q5_K_M
Use Docker
docker model run hf.co/nozdev/ollama:Q5_K_M
- LM Studio
- Jan
- vLLM
How to use nozdev/ollama with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "nozdev/ollama" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "nozdev/ollama", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/nozdev/ollama:Q5_K_M
- Ollama
How to use nozdev/ollama with Ollama:
ollama run hf.co/nozdev/ollama:Q5_K_M
- Unsloth Desktop
- Docker Model Runner
How to use nozdev/ollama with Docker Model Runner:
docker model run hf.co/nozdev/ollama:Q5_K_M
- Lemonade
How to use nozdev/ollama with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull nozdev/ollama:Q5_K_M
Run and chat with the model
lemonade run user.ollama-Q5_K_M
List all available models
lemonade list
- Atomic Chat
DeepSeek-R1-Distill-Qwen-1.5B GGUF
This repo contains a GGUF version of DeepSeek-R1-Distill-Qwen-1.5B.
- Quantization: Q5_K_M (Medium, 5-bit)
- Architecture: Qwen2.5-Math-1.5B
- Context Window: Up to 128k tokens
Usage
You can run this model using llama.cpp or other GGUF-compatible tools like LM Studio.
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Hardware compatibility
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5-bit
Model tree for nozdev/ollama
Base model
deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B