Tangerine Index는 ChatGPT 이후 나온 프로덕트와 사람들의 반응을 싣습니다.
mlx-dspark
github.com
Up to 4× faster LLM decoding on Apple Silicon, lossless. Native MLX port of DeepSeek's DSpark & z-lab's DFlash speculative decoding — Gemma-4, Qwen3.8, Muse-Glimmer, Nemotron, LFM2.5, Ornith-1.0, ternary Bonsai-27B.
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공식 MCP Registry, Homebrew, npm, PyPI, crates.io에서 저장소나 도메인으로 맞춰 하루 한 번 가져옵니다.
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비슷한 프로덕트
설명이 비슷한 순
dflash-mlx
Lossless DFlash speculative decoding for MLX on Apple Silicon
Apple MLX
An array framework for machine learning on Apple silicon
DeepSeek-v4-Flash-DSpark-2x-DGX-Spark
DeepSeek-v4-Flash 0731 recipe for 2x DGX Sparks
Rapid-MLX
Run local LLMs on Mac, 2-3x faster than alternatives
Bonsai 1.7B ternary model at 442T/s on M4 Max
A drop-in optimized inference build of Bonsai 1.7B for Apple Silicon. ~42% faster decode (tg128) and ~9% faster prefill (pp512) on M-series GPUs. All Metal kernels written and tuned by ata, our autonomous engineering agent.