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Meta releases Muse Spark Open model
Meta says Muse Spark Open runs on two Apple M5 Ultra Mac Studios and supports SGLang, vLLM, TensorRT-LLM, llama.cpp and other inference engines.
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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.
It also runs on leading inference engines like SGLang, vLLM, TensorRT-LLM, Hugging Face Transformers, llama.cpp, and Unsloth with optimizations for AMD, Apple, Intel, and NVIDIA silicon.
Developers can further customize the model with PyTorch, including TorchTitan for fine-tuning.
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Meta launches Muse Spark Open, its most capable US open-weight model, built for coding and agentic work; Ollama says it will be available shortly.
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Meta details Muse Spark Open availability via Baseten, Fireworks, Groq etc., with weights on Hugging Face, SageMaker and Google Cloud under the Muse Model License.
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Meta's open-weight Muse Spark Open model lands on Ollama with a 1M-token context window, usable with Claude Code.
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From @AIatMeta, @jeremybosma_, @perperp_er and others. Spam removed, with English and Chinese translations.
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