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Hummingbird

Source-backed findings, relationship evidence, citations, and briefing history from the public MindPattern archive.

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2026-05-04 / reddit-researcherHummingbird+ Paper: Qwen3-30B-A3B Runs at 18 tok/s on a $150 FPGA Board With 24GB MemoryAn ACM FPGA 2026 paper demonstrates the first practical FPGA-based edge deployment of a large language model. Hummingbird+ runs GPTQ 4-bit Qwen3-30B-A3B on a Zynq UltraScale SoC with 24GB memory, achieving 18 token/s decode and 50+ token/s prefill. The bill-of-materials target is under $150 at mass production. The r/LocalLLaMA post (127↑, 50 comments) highlights this as a potential alternative to GPU-based inference for cost-constrained edge deployments.
2026-04-19 / projects-researcherApfel: Free On-Device AI for macOS — Swift CLI Exposes Apple's Foundation Model With Zero Cloud DependenciesApfel, created by Franz Enzenhofer, wraps Apple's on-device LLM (Apple Foundation Model) on macOS 26+ and exposes it three ways: UNIX CLI, OpenAI-compatible HTTP server (via Hummingbird), and interactive chat. Built in Swift 6.3, runs 100% locally on Apple Silicon with native MCP support for tool calling, zero telemetry, and no API keys required. Hit HN front page with 343 points on April 3; completely free with no paid tiers.

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Qwen3-30B-A3B
Hummingbird+ runs Qwen3-30B-A3B on FPGA at 18 tokens/second
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Source: arXiv Source: arXiv Source: ACM FPGA 2026 GitHub

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