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English(EN) DeepSeek-V4.1-Flash-1017 on one RTX 3090: Big updates to the Delta Inference Engine v0.93. Same 41 tok/s at 192GB/IQ2 at better quality, usable from 64 GB RAM, first token ~40% sooner, new Unsloth quants at full speed, EXL3, basic multi-GPU, public CI and more

DeepSeek-V4.1-Flash-1017 获得 Delta Inference Engine 重大更新

Delta Inference Engine 已更新至 0.93 版本,为 DeepSeek-V4.1-Flash-1017 模型带来了显著改进。此次更新提高了在单个 RTX 3090 显卡上的性能,提供了更快的首个 token 生成速度和在较低 RAM 要求下更好的质量。现在支持以全速运行新的 Unsloth 量化,该引擎还包括基础多 GPU 功能和公开的持续集成系统。 AI

影响 提高了本地 LLM 部署的可用性和性能,特别是对于硬件有限的用户。

排序理由 对特定模型的推理引擎进行更新,而非新的前沿模型发布。

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 →

DeepSeek-V4.1-Flash-1017 获得 Delta Inference Engine 重大更新

本文如何被排名

Signal score
1 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Tool
对特定模型的推理引擎进行更新,而非新的前沿模型发布。
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
Same-day
Cluster formed today. Ranking reflects the current source set at time of score.

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/musicurgy ·

    DeepSeek-V4.1-Flash-1017 在一台 RTX 3090 上:Delta Inference Engine v0.93 重大更新。在 192GB/IQ2 下仍为 41 tok/s,但质量更好,64 GB RAM 可用,首个 token 速度快约 40%,新的 Unsloth quants 全速运行,EXL3,基础多 GPU,公开 CI 等

    <table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1xoq4vq/deepseekv41flash1017_on_one_rtx_3090_big_updates/"> <img alt="DeepSeek-V4.1-Flash-1017 on one RTX 3090: Big updates to the Delta Inference Engine v0.93. Same 41 tok/s at 192GB/IQ2 at better quality, us…