Strata is the shit
Summary
用户分享使用 Strata 替换 llama.cpp 运行 Qwen 3.8 Flash Next 后,解码速度从 70-80 tk/s 提升至 150 tk/s,并顺带测试了 DeepSeek v4.1flash 2.25bit 量化在多 GPU 上的表现。
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@servasyy_ai: Strata 0.1.39 Multi-GPU Optimization is Here! No wonder—some folks' speeds have doubled!
Strata 0.1.39 has been released with multi-GPU optimization. According to user feedback, inference speeds in some scenarios have doubled — benchmarks on a 4090 48G running the hundred-billion-parameter Qwen3.8-Flash-Next showed a significant boost in tokens/s.
Strata + Qwen 3.8 Flash Next: fast, but what's it costing in quality?
一位用户质疑 Strata 的高性能宣传:虽然 tokens per second 和针尖测试数据亮眼,但其剪枝专家(pruned experts)与量化是否牺牲实际输出质量尚未经过验证,建议用 llama.cpp 上的相同 GGUF 来对照测试。
Strata performance finetuning - try it out
一位用户分享了对本地 LLM 推理工具 Strata 的深度性能调优经验,通过调整 --pcie-frac、--pool-workers、--trim-stage-weights、--pipeline-windows 等参数并在双 RTX 3060 上优化 GPU 优先级,实现了约 35 tps 到 60+ tps 的解码速度提升。
Strata with Qwen3.8 Flash Next UD-Q4_K_XL
A user reports strong single-request decode speeds running Qwen3.8-Flash-Next in Unsloth's UD-Q4_K_XL quant on Strata with an RTX PRO 6000, showing roughly 2x faster throughput than vLLM on the same GPU across prose, counting, coding, and reasoning tasks.
@MinLiBuilds: https://x.com/MinLiBuilds/status/2107988055101685781
The author shares a complete guide for deploying Qwen3.8-Flash-Next (125B-A6B) on 12GB VRAM (RTX 5070) with Strata, achieving nearly 100 tok/s, and lets Ant Group's newly released Ling-3.1-flash Agent handle the entire workflow from scratch — machine check, download, installation, troubleshooting, and benchmarking.