Description
Spark-X2.5-4B is a language model developed to enhance the practicality and efficiency of AI applications. It is part of a series that includes Spark-X2.5-1.7B, both of which are designed to deliver strong performance across a variety of everyday tasks such as conversation, writing, translation, reasoning, coding, and agentic workflows. The model is built with an efficiency-oriented architecture that supports a native context window of up to 1 million tokens, making it suitable for long-context applications.
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The model employs a hybrid attention architecture, combining one full-attention layer with three sliding-window attention layers. This design reduces computational overhead while maintaining high performance, particularly in coding and agentic tasks. Spark-X2.5-4B is integrated with popular agent harnesses like Codex, Claude Code, OpenClaw, and Hermes, achieving state-of-the-art results among models of similar size.
Compatibility is a key feature of Spark-X2.5-4B, as it supports a wide range of hardware platforms, including NVIDIA, Huawei, Hygon, and HOUMO.AI. It is also compatible with leading inference frameworks such as vLLM, SGLang, and llama.cpp, and can be deployed through platforms like Ollama and LM Studio. The model can be customized using fine-tuning frameworks such as LLaMA-Factory.
Training for Spark-X2.5-4B involved pretraining on approximately 20 trillion tokens from diverse sources, including web pages, books, and code. Post-training includes supervised fine-tuning and large-scale reinforcement learning, enhancing its capabilities in language understanding, reasoning, and programming. The model's performance is benchmarked against other leading models, showing competitive results across various tasks.
Spark-X2.5-4B is licensed under the Apache 2.0 License, making it accessible for a wide range of applications. Its advanced training algorithms and broad compatibility make it a valuable tool for developers and researchers looking to implement efficient and effective AI solutions.
- CategoryAI Models & LLMs
- Pricing ModelOpen source
- DeploymentCloud
- PlatformsWeb
Spark-X2.5-4B Highlights
Efficient architecture with hybrid attention
Native 1M-token context window
Supports over 200 languages
Integrated with agent harnesses like Codex
Compatible with NVIDIA, Huawei, and more
Deployable via platforms like Ollama
Customizable with LLaMA-Factory
Apache 2.0 License
Getting Started with Spark-X2.5-4B
Access model page: Visit the Hugging Face repository
Authenticate: Log in to access model files
Configure: Set up the model with desired parameters
Send prompts: Use the model for various tasks
Fine-tune: Customize using LLaMA-Factory
Spark-X2.5-4B's Use Cases
- Multilingual Support
- Coding Assistance
- Long-Context Processing
- Agentic Workflows
- Reasoning and Logic
