Text Generation
GGUF
Safetensors
English
granitemoehybrid
security
vulnerability-detection
agentic
terminal-agent
reinforcement-learning
granite
lm-studio
ollama
llama-cpp
quantized
conversational
Instructions to use Skipti/antares-gguf-community 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 Skipti/antares-gguf-community 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 Skipti/antares-gguf-community:F16 # Run inference directly in the terminal: llama cli -hf Skipti/antares-gguf-community:F16
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf Skipti/antares-gguf-community:F16 # Run inference directly in the terminal: llama cli -hf Skipti/antares-gguf-community:F16
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 Skipti/antares-gguf-community:F16 # Run inference directly in the terminal: ./llama-cli -hf Skipti/antares-gguf-community:F16
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 Skipti/antares-gguf-community:F16 # Run inference directly in the terminal: ./build/bin/llama-cli -hf Skipti/antares-gguf-community:F16
Use Docker
docker model run hf.co/Skipti/antares-gguf-community:F16
- LM Studio
- Jan
- vLLM
How to use Skipti/antares-gguf-community with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Skipti/antares-gguf-community" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Skipti/antares-gguf-community", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/Skipti/antares-gguf-community:F16
- Ollama
How to use Skipti/antares-gguf-community with Ollama:
ollama run hf.co/Skipti/antares-gguf-community:F16
- Unsloth Desktop
- Pi
How to use Skipti/antares-gguf-community with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf Skipti/antares-gguf-community:F16
Configure the model in Pi
# Install Pi: npm install -g @earendil-works/pi-coding-agent # Add to ~/.pi/agent/models.json: { "providers": { "llama-cpp": { "baseUrl": "http://localhost:8080/v1", "api": "openai-completions", "apiKey": "none", "models": [ { "id": "Skipti/antares-gguf-community:F16" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Docker Model Runner
How to use Skipti/antares-gguf-community with Docker Model Runner:
docker model run hf.co/Skipti/antares-gguf-community:F16
- Lemonade
How to use Skipti/antares-gguf-community with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull Skipti/antares-gguf-community:F16
Run and chat with the model
lemonade run user.antares-gguf-community-F16
List all available models
lemonade list
- Hermes Agent
How to use Skipti/antares-gguf-community with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf Skipti/antares-gguf-community:F16
Configure Hermes
# Install Hermes: curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash hermes setup # Point Hermes at the local server: hermes config set model.provider custom hermes config set model.base_url http://127.0.0.1:8080/v1 hermes config set model.default Skipti/antares-gguf-community:F16
Run Hermes
hermes
- Atomic Chat
- OpenClaw
How to use Skipti/antares-gguf-community with OpenClaw:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf Skipti/antares-gguf-community:F16
Configure OpenClaw
# Install OpenClaw: npm install -g openclaw@latest # Register the local server and set it as the default model: openclaw onboard --non-interactive --mode local \ --auth-choice custom-api-key \ --custom-base-url http://127.0.0.1:8080/v1 \ --custom-model-id "Skipti/antares-gguf-community:F16" \ --custom-provider-id llama-cpp \ --custom-compatibility openai \ --custom-text-input \ --accept-risk \ --skip-health
Run OpenClaw
openclaw agent --local --agent main --message "Hello from Hugging Face"
| {%- set tools_system_message_prefix = 'You are a helpful assistant with access to the following tools. You may call one or more tools to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>' %} | |
| {%- set tools_system_message_suffix = '\n</tools>\n\nFor each tool call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call>. If a tool does not exist in the provided list of tools, notify the user that you do not have the ability to fulfill the request.' %} | |
| {%- set documents_system_message_prefix = 'You are a helpful assistant with access to the following documents. You may use one or more documents to assist with the user query.\n\nYou are given a list of documents within <documents></documents> XML tags:\n<documents>' %} | |
| {%- set documents_system_message_suffix = '\n</documents>\n\nWrite the response to the user\'s input by strictly aligning with the facts in the provided documents. If the information needed to answer the question is not available in the documents, inform the user that the question cannot be answered based on the available data.' %} | |
| {%- set g4_default_system_message = 'You are a helpful assistant. Please ensure responses are professional, accurate, and safe.' %} | |
| {%- if available_tools is defined and available_tools %} | |
| {%- set tools = available_tools %} | |
| {%- endif %} | |
| {%- set ns = namespace(tools_system_message=tools_system_message_prefix, | |
| documents_system_message=documents_system_message_prefix, | |
| default_system_message=g4_default_system_message, | |
| system_message='' | |
| ) %} | |
| {%- if tools %} | |
| {%- for tool in tools %} | |
| {%- set ns.tools_system_message = ns.tools_system_message + '\n' + (tool | tojson) %} | |
| {%- endfor %} | |
| {%- set ns.tools_system_message = ns.tools_system_message + tools_system_message_suffix %} | |
| {%- else %} | |
| {%- set ns.tools_system_message = '' %} | |
| {%- endif %} | |
| {%- if documents %} | |
| {%- for document in documents %} | |
| {%- set ns.documents_system_message = ns.documents_system_message + '\n' + (document | tojson) %} | |
| {%- endfor %} | |
| {%- set ns.documents_system_message = ns.documents_system_message + documents_system_message_suffix %} | |
| {%- else %} | |
| {%- set ns.documents_system_message = '' %} | |
| {%- endif %} | |
| {%- if messages[0].role == 'system' %} | |
| {%- if messages[0].content is string %} | |
| {%- set ns.system_message = messages[0].content %} | |
| {%- elif messages[0].content is iterable %} | |
| {%- for entry in messages[0].content %} | |
| {%- if entry.type== 'text' %} | |
| {%- if ns.system_message != '' %} | |
| {%- set ns.system_message = ns.system_message + '\n' %} | |
| {%- endif %} | |
| {%- set ns.system_message = ns.system_message + entry.text %} | |
| {%- endif %} | |
| {%- endfor %} | |
| {%- endif %} | |
| {%- if tools and documents %} | |
| {%- set ns.system_message = ns.system_message + '\n\n' + ns.tools_system_message + '\n\n' + ns.documents_system_message %} | |
| {%- elif tools %} | |
| {%- set ns.system_message = ns.system_message + '\n\n' + ns.tools_system_message %} | |
| {%- elif documents %} | |
| {%- set ns.system_message = ns.system_message + '\n\n' + ns.documents_system_message %} | |
| {%- endif %} | |
| {%- else %} | |
| {%- if tools and documents %} | |
| {%- set ns.system_message = ns.tools_system_message + '\n\n' + ns.documents_system_message %} | |
| {%- elif tools %} | |
| {%- set ns.system_message = ns.tools_system_message %} | |
| {%- elif documents %} | |
| {%- set ns.system_message = ns.documents_system_message %} | |
| {%- endif %} | |
| {%- endif %} | |
| {%- if ns.system_message %} | |
| {{- '<|start_of_role|>system<|end_of_role|>' + ns.system_message + '<|end_of_text|>\n' }} | |
| {%- else %} | |
| {{- '<|start_of_role|>system<|end_of_role|>' + ns.default_system_message + '<|end_of_text|>\n' }} | |
| {%- endif %} | |
| {%- for message in messages %} | |
| {%- set content = namespace(val='') %} | |
| {%- if message.content is string %} | |
| {%- set content.val = message.content %} | |
| {%- else %} | |
| {%- if message.content is iterable %} | |
| {%- for entry in message.content %} | |
| {%- if entry.type== 'text' %} | |
| {%- if content.val != '' %} | |
| {%- set content.val = content.val + '\n' %} | |
| {%- endif %} | |
| {%- set content.val = content.val + entry.text %} | |
| {%- endif %} | |
| {%- endfor %} | |
| {%- endif %} | |
| {%- endif %} | |
| {%- if (message.role == 'user') or (message.role == 'system' and not loop.first) %} | |
| {{- '<|start_of_role|>' + message.role + '<|end_of_role|>' + content.val + '<|end_of_text|>\n' }} | |
| {%- elif message.role == 'assistant' %} | |
| {{- '<|start_of_role|>' + message.role + '<|end_of_role|>' + content.val }} | |
| {%- if message.tool_calls %} | |
| {%- for tool_call in message.tool_calls %} | |
| {%- if (loop.first and content.val) or (not loop.first) %} | |
| {{- '\n' }} | |
| {%- endif %} | |
| {%- if tool_call.function %} | |
| {%- set tool_call = tool_call.function %} | |
| {%- endif %} | |
| {{- '<tool_call>\n{"name": "' }} | |
| {{- tool_call.name }} | |
| {{- '", "arguments": ' }} | |
| {%- if tool_call.arguments is string %} | |
| {{- tool_call.arguments }} | |
| {%- else %} | |
| {{- tool_call.arguments | tojson }} | |
| {%- endif %} | |
| {{- '}\n</tool_call>' }} | |
| {%- endfor %} | |
| {%- endif %} | |
| {{- '<|end_of_text|>\n' }} | |
| {%- elif message.role == 'tool' %} | |
| {%- if loop.first or (messages[loop.index0 - 1].role != 'tool') %} | |
| {{- '<|start_of_role|>user<|end_of_role|>' }} | |
| {%- endif %} | |
| {{- '\n<tool_response>\n' }} | |
| {{- content.val }} | |
| {{- '\n</tool_response>' }} | |
| {%- if loop.last or (messages[loop.index0 + 1].role != 'tool') %} | |
| {{- '<|end_of_text|>\n' }} | |
| {%- endif %} | |
| {%- endif %} | |
| {%- endfor %} | |
| {%- if add_generation_prompt %} | |
| {{- '<|start_of_role|>assistant<|end_of_role|><think> | |
| ' }} | |
| {%- endif %} |