← 최신 프로덕트

Swift-Qwen3.8-27B

-58.3% thinking, x1.95 speed, accuracy of xhigh. Image-Text-to-Text model with 28B parameters. Download, explore files and run it on Hugging Face. We are also providing a Free Research Purpose API (OpenAI compatible), courtesy of Nvidia who were kind enough to provide us with the GPUs.

huggingface.co 방문외부 사이트

반응 (1)

비슷한 프로덕트

설명이 비슷한 순

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

    github.com

    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.

    Hacker News240점

  2. Run an 80B Qwen in 4.3 GB of RAM on a Mac

    github.com

    and a 35B on an iPhone

    Hacker News312점

  3. Qwen-2.5-32B is now the best open source OCR model

    github.com

    OCR Benchmark

    Hacker News211점

  4. Nari Qwen3-TTS and Qwen3-ASR

    narilabs.com

    High accuracy, low latency and cost

    Hacker News92점

  5. OpenGraviton

    opengraviton.github.io

    Run 500B+ parameter models on a consumer Mac Mini

    Hacker News13점