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English(EN) 2x CMP 170HX 64GB: GLM-5.3-Flash at 384K context / ~90 tok/s (EXL3, HBM-first setup) + Qwen3.8 comparison

GLM-5.3-Flash 在双 CMP 170HX GPU 上实现 384K 上下文

一位用户成功配置并基准测试了 GLM-5.3-Flash 模型,该模型运行在配备两块 64GB CMP 170HX 显卡的双 GPU 设置上。该设置使用了 ExLlamaV3 推理引擎,实现了 384K 令牌的上下文窗口,推理速度约为每秒 90 个令牌。用户还在相同的硬件上对 Qwen3.8-Flash-Next 设置进行了对比分析,评估了原始推理速度以及在编码和代理任务上的性能。 AI

影响 展示了在消费级硬件上部署具有大上下文窗口的高效本地 LLM。

排序理由 用户进行的特定模型和硬件配置的基准测试和设置指南。[lever_c_demoted from research: ic=1 ai=1.0]

在 r/LocalLLaMA 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

GLM-5.3-Flash 在双 CMP 170HX GPU 上实现 384K 上下文

本文如何被排名

Signal score
0 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Tool
用户进行的特定模型和硬件配置的基准测试和设置指南。[lever_c_demoted from research: ic=1 ai=1.0]
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
model release, infra
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
2 days old
Coverage has settled into its steady-state source set.

完整方法见我们的编辑标准。

报道来源 [1]

  1. r/LocalLLaMA TIER_1 English(EN) · /u/Prudent_Appearance71 ·

    2x CMP 170HX 64GB:GLM-5.3-Flash 在 384K 上下文 / ~90 tok/s (EXL3, HBM 优先设置) + Qwen3.8 对比

    <table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1x0b1ws/2x_cmp_170hx_64gb_glm53flash_at_384k_context_90/"> <img alt="2x CMP 170HX 64GB: GLM-5.3-Flash at 384K context / ~90 tok/s (EXL3, HBM-first setup) + Qwen3.8 comparison" src="https://external-preview.red…