---
license: apache-2.0
language:
  - en
  - zh
library_name: gguf
pipeline_tag: text-generation
base_model: XHToken/Spark-X2.5-4B
tags:
  - gguf
  - llama.cpp
  - ollama
  - lm-studio
  - sparkx2_5
---

# Spark-X2.5-4B-GGUF

> [!NOTE]
> This repository provides a BF16 GGUF conversion of Spark-X2.5-4B.

Spark-X2.5 is a compact, general-purpose language model for conversation, writing, translation, reasoning, coding, tool use, and agentic workflows. It uses a hybrid attention architecture, supports a native context length of up to 1M tokens, and covers more than 200 languages. For its architecture, training methods, benchmark results, fine-tuning, and citation, see the [Spark-X2.5-4B](https://huggingface.co/XHToken/Spark-X2.5-4B).

## Local Deployment

The GGUF file can be used for local inference with **Ollama** and **LM Studio**. Spark-X2.5 support is provided by [XHToken/llama.cpp](https://github.com/XHToken/llama.cpp), so the Quick Starts below use this compatible implementation.

## Ollama Quick Start

### Build

```bash
git clone https://github.com/XHToken/llama.cpp.git llama.cpp-spark
git clone https://github.com/ollama/ollama.git ollama-spark
cd ollama-spark
export OLLAMA_LLAMA_CPP_SOURCE="$(cd ../llama.cpp-spark && pwd)"
cmake -S . -B build
cmake --build build --parallel 8
```

### Import the GGUF

Replace the model path below with the absolute path to the downloaded GGUF file:

```bash
printf 'FROM /absolute/path/to/Spark-X2.5-4B.gguf\n' > ./Modelfile.spark
```

### Create and Run

Start the Ollama server in the first terminal:

```bash
./ollama serve
```

Open a second terminal in the same `ollama-spark` directory:

```bash
./ollama create Spark-X2.5-4B -f ./Modelfile.spark
./ollama run Spark-X2.5-4B --think=false
```
`--think=false` disables thinking mode for faster, direct responses.

## LM Studio Quick Start

### Build the Compatible llama.cpp Runtime

```bash
git clone https://github.com/XHToken/llama.cpp.git llama.cpp-spark
cd llama.cpp-spark
cmake -S . -B build
cmake --build build --parallel 8
```

### Configure LM Studio

1. Close LM Studio.
2. Back up the selected LM Studio runtime directory:

   ```text
   <LM_STUDIO_HOME>/extensions/backends/<selected-runtime>/
   ```

3. Copy the `llama.cpp-spark` build output into the selected runtime directory, replacing the existing runtime files.
4. Place `Spark-X2.5-4B.gguf` in:

   ```text
   <LM_STUDIO_HOME>/models/<org>/<name>/
   ```

Example runtime directory on Apple Silicon:

```text
./build/bin/* -> ~/.lmstudio/extensions/backends/llama.cpp-mac-arm64-apple-metal-advsimd-<version>/
```

### Run

Open LM Studio, select the model under My Models, click Load, and start a new chat.

You can also use the `lms` CLI:

```bash
lms ls
lms load <model>
lms chat <model>
```

## License

Released under the [Apache License 2.0](https://www.apache.org/licenses/LICENSE-2.0).