rapid-mlx 发布 V4.1 Flash MLX 量化：256GB Mac 可跑，top-1 85.1%
面向 256GB+ Mac 的 MLX 量化版，Mean KL 低 35–44%，top-1 85.1% 对 79.3%，40x384 专家全保留，Engram 表从 SSD 流式读取。
Running DeepSeek-V4.1-Flash locally shouldn't mean sacrificing quality. Meet the most faithful MLX quantization of DeepSeek-V4.1-Flash-1017. We built the ultimate version for 256GB+ Macs, maximizing both quality and speed. 👑 The New Standard for MLX: ✅ Highest Quality: 35–44% lower Mean KL. Crushes the leading 2-bit MLX quant (85.1% vs 79.3% top-1). ✅ No Compromises: ZERO experts pruned. All 40x384 kept. ✅ Advanced Tech: Sequential quantization, sensitivity-driven mixed precision, and Engram tables streamed from SSD. ✅ Fastest Path: A major high-speed inference release is imminent. The best local DeepSeek-V4.1-Flash-1017 on Mac is ready. 🔗 Weights & comparisons: https://huggingface.co/rapid-mlx/DeepSeek-V4.1-Flash-1017-MLX
这条是引用着另一条写的：x.com/artificialanlys/status/2112218661432000694