Instructions to use abenzerps/Spark-X2.5-4B-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 abenzerps/Spark-X2.5-4B-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 abenzerps/Spark-X2.5-4B-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf abenzerps/Spark-X2.5-4B-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 abenzerps/Spark-X2.5-4B-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf abenzerps/Spark-X2.5-4B-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 abenzerps/Spark-X2.5-4B-GGUF:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf abenzerps/Spark-X2.5-4B-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 abenzerps/Spark-X2.5-4B-GGUF:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf abenzerps/Spark-X2.5-4B-GGUF:Q4_K_M
Use Docker
docker model run hf.co/abenzerps/Spark-X2.5-4B-GGUF:Q4_K_M
- LM Studio
- Jan
- vLLM
How to use abenzerps/Spark-X2.5-4B-GGUF with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "abenzerps/Spark-X2.5-4B-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": "abenzerps/Spark-X2.5-4B-GGUF", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/abenzerps/Spark-X2.5-4B-GGUF:Q4_K_M
- Ollama
How to use abenzerps/Spark-X2.5-4B-GGUF with Ollama:
ollama run hf.co/abenzerps/Spark-X2.5-4B-GGUF:Q4_K_M
- Unsloth Desktop
- Pi
How to use abenzerps/Spark-X2.5-4B-GGUF with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf abenzerps/Spark-X2.5-4B-GGUF:Q4_K_M
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": "abenzerps/Spark-X2.5-4B-GGUF:Q4_K_M" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Docker Model Runner
How to use abenzerps/Spark-X2.5-4B-GGUF with Docker Model Runner:
docker model run hf.co/abenzerps/Spark-X2.5-4B-GGUF:Q4_K_M
- Lemonade
How to use abenzerps/Spark-X2.5-4B-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull abenzerps/Spark-X2.5-4B-GGUF:Q4_K_M
Run and chat with the model
lemonade run user.Spark-X2.5-4B-GGUF-Q4_K_M
List all available models
lemonade list
- Hermes Agent
How to use abenzerps/Spark-X2.5-4B-GGUF with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf abenzerps/Spark-X2.5-4B-GGUF:Q4_K_M
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 abenzerps/Spark-X2.5-4B-GGUF:Q4_K_M
Run Hermes
hermes
- Atomic Chat
- OpenClaw
How to use abenzerps/Spark-X2.5-4B-GGUF with OpenClaw:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf abenzerps/Spark-X2.5-4B-GGUF:Q4_K_M
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 "abenzerps/Spark-X2.5-4B-GGUF:Q4_K_M" \ --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"
| {#- 0826版本 -#} | |
| {%- if not messages %} | |
| {{- raise_exception('No messages provided.') }} | |
| {%- endif %} | |
| {%- set enable_thinking = enable_thinking | default(true) %} | |
| {#- Render a string or a list of text blocks. -#} | |
| {%- macro render_content(content, context_name) %} | |
| {%- if content is string %} | |
| {{- content }} | |
| {%- elif content is none or content is undefined %} | |
| {{- '' }} | |
| {%- elif content is iterable and content is not mapping %} | |
| {%- for block in content %} | |
| {%- if block.type == 'text' %} | |
| {{- block.text }} | |
| {%- else %} | |
| {{- raise_exception('Unsupported ' ~ context_name ~ ' content block type: ' ~ (block.type | string)) }} | |
| {%- endif %} | |
| {%- endfor %} | |
| {%- else %} | |
| {{- raise_exception(context_name ~ ' content must be a string or a list of text blocks') }} | |
| {%- endif %} | |
| {%- endmacro %} | |
| {#- Default system prompt -#} | |
| {%- set default_system = "you are a helpful assistant." %} | |
| {#- The first message-level system is placed in the initial system block. -#} | |
| {%- set ns = namespace(initial_system='') %} | |
| {%- if messages[0].role == "system" %} | |
| {%- set ns.initial_system = render_content(messages[0].content, 'system') %} | |
| {%- endif %} | |
| {#- System block -#} | |
| {{- '<|start▁of▁sentence|><|System|>' + '\n' + default_system }} | |
| {%- if tools %} | |
| {{- '## Tools' + '\n' + 'You have access to the following functions:' + '\n' + '<tools>' }} | |
| {%- for tool in tools %} | |
| {{- '\n' + tool.function | tojson}} | |
| {%- endfor %} | |
| {{- '\n' + '</tools>' }} | |
| {%- endif %} | |
| {%- if ns.initial_system %} | |
| {{- '\n\n' + ns.initial_system }} | |
| {%- endif %} | |
| {{- '<|end▁of▁sentence|>'}} | |
| {#- Conversation turns -#} | |
| {%- for message in messages %} | |
| {%- if message.role == "system" %} | |
| {#- The first system message was consumed by the initial block. -#} | |
| {%- if not loop.first %} | |
| {{- '<|start▁of▁sentence|><|System|>\n' + render_content(message.content, 'system') + '<|end▁of▁sentence|>' }} | |
| {%- endif %} | |
| {%- elif message.role == "user" %} | |
| {{- '<|start▁of▁sentence|><|User|>' + render_content(message.content, 'user') + '<|end▁of▁sentence|>' }} | |
| {%- elif message.role == "assistant" %} | |
| {%- set assistant_content = render_content(message.content, 'assistant') %} | |
| {%- if message.reasoning_content is defined and message.reasoning_content %} | |
| {%- set reasoning_content = message.reasoning_content %} | |
| {%- else %} | |
| {%- set reasoning_content = '' %} | |
| {%- endif %} | |
| {{- '<|start▁of▁sentence|><|Bot|>'}} | |
| {%- if reasoning_content %} | |
| {{- '<think>' + reasoning_content + '</think>'}} | |
| {%- else %} | |
| {{- '</think>' }} | |
| {%- endif %} | |
| {%- if assistant_content %} | |
| {{- assistant_content }} | |
| {%- endif %} | |
| {%- if message.tool_calls is defined and message.tool_calls is not none %} | |
| {%- for tool_call in message.tool_calls %} | |
| {%- if tool_call.function.arguments is not mapping %} | |
| {{- raise_exception('tool_call.function.arguments must be a dictionary; normalize JSON strings before apply_chat_template') }} | |
| {%- endif %} | |
| {%- set args = tool_call.function.arguments %} | |
| {{- '<tool_call>' + tool_call.function.name }} | |
| {%- for k, v in args.items() %} | |
| {{- '<arg_key>' ~ k ~ '</arg_key><arg_value>' ~ (v if v is string else v | tojson) ~ '</arg_value>' }} | |
| {%- endfor %} | |
| {{- '</tool_call>' }} | |
| {%- endfor %} | |
| {%- endif %} | |
| {{- '<|end▁of▁sentence|>' }} | |
| {%- elif message.role == "tool" %} | |
| {%- if loop.previtem is undefined or loop.previtem.role != "tool" %} | |
| {{- '<|start▁of▁sentence|><|Tool|>' }} | |
| {%- endif %} | |
| {{- '<tool_response>' ~ message.content ~ '</tool_response>' }} | |
| {%- if loop.nextitem is undefined or loop.nextitem.role != "tool" %} | |
| {{- '<|end▁of▁sentence|>' }} | |
| {%- endif %} | |
| {%- else %} | |
| {{- raise_exception('Unsupported message role: ' ~ message.role) }} | |
| {%- endif %} | |
| {%- endfor %} | |
| {#- Generation prompt -#} | |
| {%- if add_generation_prompt %} | |
| {{- '<|start▁of▁sentence|><|Bot|>' }} | |
| {%- if enable_thinking is defined and enable_thinking %} | |
| {{- '<think>' }} | |
| {%- endif %} | |
| {%- if enable_thinking is defined and not enable_thinking %} | |
| {{- '</think>' }} | |
| {%- endif %} | |
| {%- endif %} | |