Instructions to use XHToken/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

How to use XHToken/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 XHToken/Spark-X2.5-4B-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf XHToken/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 XHToken/Spark-X2.5-4B-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf XHToken/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 XHToken/Spark-X2.5-4B-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf XHToken/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 XHToken/Spark-X2.5-4B-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf XHToken/Spark-X2.5-4B-GGUF:Q4_K_M

Use Docker

docker model run hf.co/XHToken/Spark-X2.5-4B-GGUF:Q4_K_M

LM Studio
Jan

vLLM

How to use XHToken/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 "XHToken/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": "XHToken/Spark-X2.5-4B-GGUF",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/XHToken/Spark-X2.5-4B-GGUF:Q4_K_M

Ollama
How to use XHToken/Spark-X2.5-4B-GGUF with Ollama:
```
ollama run hf.co/XHToken/Spark-X2.5-4B-GGUF:Q4_K_M
```
Unsloth Desktop

How to use XHToken/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 XHToken/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": "XHToken/Spark-X2.5-4B-GGUF:Q4_K_M"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Docker Model Runner
How to use XHToken/Spark-X2.5-4B-GGUF with Docker Model Runner:
```
docker model run hf.co/XHToken/Spark-X2.5-4B-GGUF:Q4_K_M
```

Lemonade

How to use XHToken/Spark-X2.5-4B-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull XHToken/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 XHToken/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 XHToken/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 XHToken/Spark-X2.5-4B-GGUF:Q4_K_M

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use XHToken/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 XHToken/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 "XHToken/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"

Request: Build Compatible llama.cpp Runtime for Spark-X2.5-4B-GGUF (Windows, CUDA)

by KiberAndy - opened about 11 hours ago

Discussion

KiberAndy

about 11 hours ago

Please provide a prebuilt llama.cpp binary with CUDA support for Windows that can run this GGUF (Spark-X2.5-4B). Standard builds don't work. If one exists, give a link; if not, please build it.

lyang01 changed discussion status to closed about 11 hours ago

lyang01

SparkLLM org about 11 hours ago

Which llama.cpp version/build are you using? Could you also share the error message you’re getting?

KiberAndy

about 9 hours ago

Which llama.cpp version/build are you using? Could you also share the error message you’re getting?

[LM Studio]
I even downloaded a fairly recent version - b10834 from here: https://github.com/ggml-org/llama.cpp/releases

Still the error:
Failed to load model.
error loading model: unknown model architecture: 'spark2_5'

More detailed logs:

2026-09-07 20:58:40 [DEBUG]
0.00.034.483 I srv init: The UI is disabled
0.00.034.488 I srv init: Use --ui/--no-ui (or deprecated --webui/--no-webui) to enable/disable
2026-09-07 20:58:40 [DEBUG]
0.00.049.271 I srv load_model: loading model 'G:\Ai\LM\lmstudio-community\Spark-X2.5-4B\Spark-X2.5-4B.gguf'
2026-09-07 20:58:40 [DEBUG]
0.00.132.121 E llama_model_load: error loading model: unknown model architecture: 'spark2_5'
0.00.132.131 E llama_model_load_from_file_impl: failed to load model
0.00.132.158 E common_fit_params: encountered an error while trying to fit params to free device memory: error loading model: unknown model architecture: 'spark2_5'
2026-09-07 20:58:40 [DEBUG]
0.00.215.145 E llama_model_load: error loading model: unknown model architecture: 'spark2_5'
0.00.215.155 E llama_model_load_from_file_impl: failed to load model
0.00.215.156 LMSTUDIO_STARTUP_ERROR:{"schemaVersion":1,"code":"model_load_failed","message":"error loading model: unknown model architecture: 'spark2_5'"}
E cmn common_init_: failed to load model 'G:\Ai\LM\lmstudio-community\Spark-X2.5-4B\Spark-X2.5-4B.gguf'
0.00.215.164 E srv load_model: failed to load model, 'G:\Ai\LM\lmstudio-community\Spark-X2.5-4B\Spark-X2.5-4B.gguf': error loading model: unknown model architecture: 'spark2_5'
0.00.215.187 I srv operator(): operator(): cleaning up before exit...
2026-09-07 20:58:40 [DEBUG]
0.00.215.846 E srv llama_server: exiting due to model loading error

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