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"
File size: 4,648 Bytes
c3235f9 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 | {#- 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 %}
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