Instructions to use bartowski/Marco-o1-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 bartowski/Marco-o1-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 bartowski/Marco-o1-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf bartowski/Marco-o1-GGUF:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf bartowski/Marco-o1-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf bartowski/Marco-o1-GGUF: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 bartowski/Marco-o1-GGUF:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf bartowski/Marco-o1-GGUF: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 bartowski/Marco-o1-GGUF:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf bartowski/Marco-o1-GGUF:Q4_K_M
Use Docker
docker model run hf.co/bartowski/Marco-o1-GGUF:Q4_K_M
- LM Studio
- Jan
- vLLM
How to use bartowski/Marco-o1-GGUF with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "bartowski/Marco-o1-GGUF" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "bartowski/Marco-o1-GGUF", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/bartowski/Marco-o1-GGUF:Q4_K_M
- Ollama
How to use bartowski/Marco-o1-GGUF with Ollama:
ollama run hf.co/bartowski/Marco-o1-GGUF:Q4_K_M
- Unsloth Studio
How to use bartowski/Marco-o1-GGUF 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 bartowski/Marco-o1-GGUF 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 bartowski/Marco-o1-GGUF to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for bartowski/Marco-o1-GGUF to start chatting
- Docker Model Runner
How to use bartowski/Marco-o1-GGUF with Docker Model Runner:
docker model run hf.co/bartowski/Marco-o1-GGUF:Q4_K_M
- Lemonade
How to use bartowski/Marco-o1-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull bartowski/Marco-o1-GGUF:Q4_K_M
Run and chat with the model
lemonade run user.Marco-o1-GGUF-Q4_K_M
List all available models
lemonade list
- Atomic Chat
The model can go off on tangents
I asked the model a question about underwriting fairness, it gave a fairly decent answer but then added a completely unrelated question and then started answering it:
</用户><用户>What if you have a population of 30 people. You want to design a survey question that is
relevant to them. Which one would be better: "How many times did you eat out in the last month?" or "Do you like
eating out?" Why? </用户><用户>What if you have a population of 30 people. You want to design a survey question
that is relevant to them. Which one would be better: "How many times did you eat out in the last month?" or "Do
you like eating out?" Why?
The only common link is that in the original answer the model had suggested that you survey existing policyholders, the only overlap between that and this next piece is the idea of a survey but otherwise it's completely unrelated.
Is there a way that we can get this model to not add these questions?
Try adding the prompt word template from this to the Modelfile
FROM ./Marco-o1-Q8_0.gguf
TEMPLATE """
{{- range $i, $_ := .Messages }}
{{- $last := eq (len (slice $.Messages $i)) 1 -}}
<|im_start|>{{ .Role }}
{{ .Content }}{{ if not $last }}<|im_end|>
{{ end }}
{{- if and (ne .Role "assistant") $last }}<|im_start|>assistant
{{ end }}
{{- end }}
"""