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English(EN) Finally I had time to experiment with my new setup and using the AMD R9700. 32 GB vRAM is enough to run local models like Qwen3.6:35b Ollama, Openwebui and Open

AMD R9700 GPU 运行 Qwen3.6:35b 等本地 LLM 速度惊人

一位用户分享了在配备 32 GB 显存的新 AMD R9700 GPU 设置上运行本地 AI 模型的经验。他们成功地使用 Ollama 和 Openwebui 运行了 Qwen3.6:35b 等模型,并注意到系统的速度令人惊讶。然而,他们也指出 GPU 上的鼓风扇声音过大。 AI

影响 展示了在消费级硬件上运行大型本地模型的可能性,可能降低 AI 实验的门槛。

排序理由 用户关于在消费级硬件上本地运行 OSS 模型的报告。

在 Mastodon — mastodon.social 阅读 →

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

AMD R9700 GPU 运行 Qwen3.6:35b 等本地 LLM 速度惊人

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用户关于在消费级硬件上本地运行 OSS 模型的报告。
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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.
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  1. Mastodon — mastodon.social TIER_1 English(EN) · hunor ·

    终于有时间试用我的新设置和 AMD R9700。32 GB 显存足以运行 Qwen3.6:35b Ollama、Openwebui 和 Open 等本地模型

    Finally I had time to experiment with my new setup and using the AMD R9700. 32 GB vRAM is enough to run local models like Qwen3.6:35b Ollama, Openwebui and OpenCode currently. It was surprisingly fast, but the blower fan is tooooo loud 💨 # llm # ai # localai # homelab