Instructions to use honvert/Quartz-M1-100M-Instruct 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 honvert/Quartz-M1-100M-Instruct 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 honvert/Quartz-M1-100M-Instruct:Q4_K_M # Run inference directly in the terminal: llama cli -hf honvert/Quartz-M1-100M-Instruct:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf honvert/Quartz-M1-100M-Instruct:Q4_K_M # Run inference directly in the terminal: llama cli -hf honvert/Quartz-M1-100M-Instruct:Q4_K_M
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 honvert/Quartz-M1-100M-Instruct:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama cli -hf honvert/Quartz-M1-100M-Instruct:Q4_K_M
Use Docker
docker model run hf.co/honvert/Quartz-M1-100M-Instruct:Q4_K_M
- Llama new
- LM Studio
- Jan
- vLLM
How to use honvert/Quartz-M1-100M-Instruct with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "honvert/Quartz-M1-100M-Instruct" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "honvert/Quartz-M1-100M-Instruct", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/honvert/Quartz-M1-100M-Instruct:Q4_K_M
- Ollama
How to use honvert/Quartz-M1-100M-Instruct with Ollama:
ollama run hf.co/honvert/Quartz-M1-100M-Instruct:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use honvert/Quartz-M1-100M-Instruct with Docker Model Runner:
docker model run hf.co/honvert/Quartz-M1-100M-Instruct:Q4_K_M
- Lemonade
How to use honvert/Quartz-M1-100M-Instruct with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull honvert/Quartz-M1-100M-Instruct:Q4_K_M
Run and chat with the model
lemonade run user.Quartz-M1-100M-Instruct-Q4_K_M
List all available models
lemonade list
- Atomic Chat
File size: 433 Bytes
0fcb1ae | 1 2 3 4 5 6 7 8 9 10 | {
"add_bos_token": false,
"add_eos_token": false,
"bos_token": "<|system|>",
"eos_token": "<|endoftext|>",
"pad_token": "<|pad|>",
"model_max_length": 1024,
"tokenizer_class": "PreTrainedTokenizerFast",
"chat_template": "{% for message in messages %}{{'<|' + message['role'] + '|>\\n' + message['content'] + '<|endoftext|>\\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|assistant|>\\n' }}{% endif %}"
} |