AtomicChat's Qwen3.8-Flash-Next Quant Cuts RAM from 106GB to 65GB, Prefill at 500 t/s
tolitius · reddit · 2026-08-29
A Reddit user tests AtomicChat's GGUF quant of Qwen3.8-Flash-Next on M4 Max 128GB, reducing memory from 106GB to 65GB with cold prefill 500 t/s. The quant uses llama.cpp mmap and pageable PLE. Also mentions oMLX PRs improving PLE SSD offload, nearly 3x faster cold prefill.
More from Infra
- SK Hynix ties new US plant to looser chip equipment exports to China, sources say — pstAsiatech · 2026-10-15
- Perplexity's new embedding models: index with a 9B model, search with 0.6B — antoine_chaffin · 2026-10-15
- Unsloth ships GGUF quants for Nemotron 3.5: Bolt-74B runs in 24GB RAM — danielhanchen · 2026-10-15
- vLLM-Omni ships Day-0 serving for FLUX 3 Image Klein with BF16, FP8, NVFP4 support — vllm_project · 2026-10-15
- NVIDIA's Nemotron 3.5 Super VL lands training and inference support on Applied Compute — ypatil125 · 2026-10-15
- CoreWeave bond yield tops 16% as loans outlast customer contracts by ~2 years — tengyanAI · 2026-10-15