Showing 3 open source projects for "spark"

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    Nemotron 3.5 Lightning

    Nemotron 3.5 Lightning

    Efficient 30B MoE model for long-running agents and local inference

    ...The model can run on a single DGX Spark or H100 and integrates with inference frameworks including vLLM.
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  • 2
    Ling 3.0 Tiny

    Ling 3.0 Tiny

    Lightweight MoE model for local reasoning, coding, and AI agents

    ...The model supports both fast responses and configurable multi-step thinking, covering general agents, coding, mathematics, scientific reasoning, and instruction following. It is specifically optimized for local and resource-constrained deployment and has been validated on NVIDIA DGX Spark, Apple Silicon MacBooks, and Mac mini systems. FP8 testing reached around 100–105 tokens/s on DGX Spark and 86–90 tokens/s on an M4 Pro MacBook. BF16, FP8, and INT4 weights are available, while deployment options include SGLang, vLLM, and experimental Ollama support on Apple Silicon.
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  • 3
    Muse Glimmer

    Muse Glimmer

    Local multimodal 30B model for autonomous agents, coding, and tools

    Muse Glimmer-30B is Meta Superintelligence Lab’s open-weight multimodal model built specifically for autonomous agentic tasks on consumer hardware. Distilled from the larger Muse Spark, it combines multi-step reasoning, reliable tool use, coding, failure recovery, and image understanding in a dense 29.6B-parameter architecture with a dedicated 1.8B-parameter perception encoder. It supports more than 100 languages and a 131K+ token context window, allowing agents to maintain coherent plans across extended workflows. ...
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