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Tangerine Index는 ChatGPT 이후 나온 프로덕트와 사람들의 반응을 싣습니다.

gufo

github.com

The Open Source Strix Halo AI engine. Qwen 3.8 Flash Next Q4_K_XL: 1,801.01 pp, 73.17 tg single user, 194.37 tok/s 8 users; Qwen 3.8 27B Q4_K_XL: 656.33pp, 70.56tg tok/s single user with DFlash2

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github.com 방문외부 사이트GitHub1,103 스타외부 사이트

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    A from-scratch CUDA inference engine for Qwen3

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  2. halogen-flash-server

    Local inference that behaves like a frontier API: Qwen3.8-Flash-Next on AMD Strix Halo plus small NPU models, over the OpenAI and Anthropic APIs on one port.

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  3. Qwen 3.5 running on a $300 Android phone

    on-device, open source

    github.com데스크톱모바일오픈소스반응 4개최근 반응

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  4. Running 104GB Qwen3.8-Flash-Next on 48GB Mac with at ~12 tok/s

    Run a 105 GB AI model on a Mac that can't hold it. Qwen3.8-Flash-Next 4-bit, streamed from SSD on 16–64 GB Apple Silicon Macs. Fully native Swift, MLX and Metal. Offline, no Python. CLI, Swift library, and Ollama/OpenAI/Anthropic APIs. Works with Claude Code and Codex.

    github.comCLI라이브러리데스크톱오픈소스반응 2개최근 반응

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  5. Qwen3.8-Flash-Next

    The open-weight preview of Qwen4

    qwen.ai반응 11개최근 반응

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