Meta发布Muse Spark Open：816B参数开源多模态模型
Introducing Muse Spark Open: the most capable US open-weight model to date
Meta重磅开源旗舰级多模态大模型，性能与生态适配均为顶级，做本地部署和Agent开发的同学务必关注。
Hey r/LocalLlama -
嗨，r/LocalLlama 社区 -
Today we’re excited to release Muse Spark Open, the most capable US open-weight model to date.
今天，我们很高兴发布 Muse Spark Open，这是迄今为止最强大的美国开源权重模型。
Built for coding and agentic work, it excels at long-horizon tasks, complex software engineering, and multi-step reasoning.
该模型专为编码和智能体工作设计，在长周期任务、复杂软件工程和多步推理方面表现出色。
Key Model Specs
关键模型规格
- Parameters: 816B total / 42B active
- Context Window: 1M tokens
- Modalities: Text, image, video, audio
- Safety Post-Training: Additional safety post-training, with evaluations conducted under Meta's Superintelligence Scaling Framework.
- 参数量：总计 816B / 激活参数 42B
- 上下文窗口：100 万 tokens
- 模态：文本、图像、视频、音频
- 安全后训练：经过额外的安全后训练，评估工作在 Meta 的超级智能扩展框架下进行。
Inference, fine-tuning & deployment
推理、微调与部署
- Helion GPU kernels: Ships with custom, auto-tunable Helion kernels in SGLang, providing 1.03–3.95× kernel speedups across NVIDIA and AMD GPUs and a 3% E2E improvement on AMD MI350.
- Engines: Runs on leading inference engines including SGLang, vLLM, TensorRT-LLM, Hugging Face Transformers, Apple MLX, llama.cpp and Unsloth, with optimizations for AMD, Apple, Intel and NVIDIA silicon.
- Optimized for Apple Silicon: To help make advanced models more accessible, Muse Spark Open is optimized to run on two Apple M5 Ultra Mac Studios with the latest MLX framework.
- Fine-tuning: Developers can further customize the model with PyTorch, including TorchTitan for fine-tuning.
- API platforms: Available today through Baseten, Fireworks AI, Groq, Modal, Nebius, OpenRouter, Together AI.
- Where to download: Model weights are available for download on Amazon SageMaker AI, Google Cloud Model Garden, Hugging Face, and Microsoft Foundry Models.
- Helion GPU 内核：随 SGLang 提供自定义且可自动调优的 Helion 内核，在 NVIDIA 和 AMD GPU 上实现 1.03–3.95 倍的内核加速，并在 AMD MI350 上带来 3% 的整体端到端性能提升。
- 推理引擎：支持主流推理引擎，包括 SGLang、vLLM、TensorRT-LLM、Hugging Face Transformers、Apple MLX、llama.cpp 和 Unsloth，并针对 AMD、Apple、Intel 和 NVIDIA 芯片进行了优化。
- 针对 Apple Silicon 优化：为了让高级模型更易获取，Muse Spark Open 已针对搭载最新 MLX 框架的两台 Apple M5 Ultra Mac Studio 进行优化运行。
- 微调：开发者可使用 PyTorch（包括用于微调的 TorchTitan）进一步定制该模型。
- API 平台：今日可通过 Baseten、Fireworks AI、Groq、Modal、Nebius、OpenRouter 和 Together AI 使用。
- 下载渠道：模型权重可在 Amazon SageMaker AI、Google Cloud Model Garden、Hugging Face 和 Microsoft Foundry Models 上下载。
We’re releasing the weights under the Muse Model License, with limited commercial terms that let many developers use it for free.
我们以 Muse 模型许可证发布权重，其中包含有限的商业条款，允许许多开发者免费使用。
We look forward to your feedback!
我们期待收到您的反馈！
Learn more on our research blog: https://go.meta.me/museopen
了解更多详情，请访问我们的研究博客：https://go.meta.me/museopen
Download the weights: https://huggingface.co/collections/meta-models/muse-spark-open
下载权重：https://huggingface.co/collections/meta-models/muse-spark-open
更进一步：量化金融体系
看懂新闻只是起点——沿量化金融路径，把它变成能交付的工程能力