{ "schemaVersion": 1, "updatedAt": "2026-11-01T12:03:40.344249+00:00", "coverageSummary": "首轮定向检索；非全站穷尽扫描", "coverage": [ { "community": "r/LocalLLaMA", "status": "已定向搜索并核验正文" }, { "community": "r/LocalLLM", "status": "已定向搜索并核验正文" }, { "community": "r/StableDiffusion", "status": "已搜索，本轮未取得可核验配对" }, { "community": "r/ollama", "status": "已搜索，本轮未收录明确模型配对" } ], "sources": [ { "id": "1x9mwmz", "subreddit": "r/LocalLLaMA", "title": "Don't sleep on Nemotron 3.5 Super VL", "publishedDate": "2026-10-19", "score": 111, "url": "https://www.reddit.com/r/LocalLLaMA/comments/1x9mwmz/dont_sleep_on_nemotron_35_super_vl/", "checkedAt": "2026-11-01T11:46:04.261357+00:00", "dateBasis": "搜索结果的绝对发布日期；原帖正文已打开核验。票数来自搜索索引快照，非实时。", "evidence": "正文明确给出双 5060 Ti、NVFP4、Vulkan 和生成速度；模型存在知识错误。", "commentCoverage": "尚未完成高赞回复核验", "intentSummary": "作者分享一个值得关注的模型：在自己关心的冷门游戏知识问答中，Nemotron 3.5 Super VL 比他尝试的其他模型更接近正确答案，因此认为值得保留使用。" }, { "id": "1x8kces", "subreddit": "r/LocalLLaMA", "title": "Fish Audio Drama 3 says it needs a 48 GB NVIDIA card. My 16 GB Radeon disagrees.", "publishedDate": "2026-10-17", "score": 96, "url": "https://www.reddit.com/r/LocalLLaMA/comments/1x8kces/fish_audio_drama_3_says_it_needs_a_48_gb_nvidia/", "checkedAt": "2026-11-01T11:46:04.261357+00:00", "dateBasis": "搜索结果的绝对发布日期；原帖正文已打开核验。票数来自搜索索引快照，非实时。", "evidence": "正文给出 RX 9070、专家卸载和语音生成时间，并说明仅测试这张卡。", "commentCoverage": "尚未完成高赞回复核验", "intentSummary": "作者想让 Fish Audio Drama 3 在自己已有的 AMD 显卡上运行，因此制作了 Red Curtain，分享移植与内存卸载方案，邀请其他显卡用户尝试。" }, { "id": "1xbipsl", "subreddit": "r/LocalLLaMA", "title": "Qwen3.8-Flash-Next vs Opus 5.5: Six-way benchmark on a real Rust feature with Claude Code and Pi", "publishedDate": "2026-10-21", "score": 75, "url": "https://www.reddit.com/r/LocalLLaMA/comments/1xbipsl/qwen38flashnext_vs_opus_55_sixway_benchmark_on_a/", "checkedAt": "2026-11-01T11:46:04.261357+00:00", "dateBasis": "搜索结果的绝对发布日期；原帖正文已打开核验。票数来自搜索索引快照，非实时。", "evidence": "正文明确 Flash-Next 在 Flow Z13 / Strix Halo 上通过 Halogen 运行，比较编程工具与推理强度。", "commentCoverage": "尚未完成高赞回复核验", "intentSummary": "作者回应此前比较不公平的反馈，用同一个 Rust 功能任务重新比较本地 Flash-Next 与 Opus，以及 Claude Code、Pi 和不同推理强度，观察代码质量与耗时的取舍。" }, { "id": "1x46wxm", "subreddit": "r/LocalLLM", "title": "Benchmarked Strata 0.1.25 and 0.1.39 against llama.cpp on three cards", "publishedDate": "2026-10-12", "score": 16, "url": "https://www.reddit.com/r/LocalLLM/comments/1x46wxm/benchmarked_strata_0125_and_0139_against_llamacpp/", "checkedAt": "2026-11-01T11:46:04.261357+00:00", "dateBasis": "搜索结果的绝对发布日期；原帖正文已打开核验。票数来自搜索索引快照，非实时。", "evidence": "原帖表格列出三张卡的 4K / 32K 测试；Strata 开启 draft head，llama.cpp 未开启。", "commentCoverage": "尚未完成高赞回复核验", "intentSummary": "作者补充较少见的 RTX PRO 6000 测试，并与 RTX 3090 Ti、5090 Laptop 对照，探讨 Strata 和 llama.cpp 在模型能否完全装入显存时的速度差异。" }, { "id": "1xce5dd", "subreddit": "r/LocalLLaMA", "title": "Tried LFM2.5-24-A2B. It's crap. Yes. I double confirm it.", "publishedDate": "2026-10-22", "score": 101, "url": "https://www.reddit.com/r/LocalLLaMA/comments/1xce5dd/tried_lfm2524a2b_its_crap_yes_i_double_confirm_it/", "checkedAt": "2026-11-01T11:46:04.261357+00:00", "dateBasis": "搜索结果的绝对发布日期；原帖正文已打开核验。票数来自搜索索引快照，非实时。", "evidence": "作者明确 RTX A4500 和 LFM2.5 Q4_K_M；报告高速度，也报告循环和代码任务失败。", "commentCoverage": "尚未完成高赞回复核验", "intentSummary": "作者对 LFM2.5 的实际效果不满，补充硬件、量化和工具配置来说明循环与编程失败的问题，并向社区寻求改进建议。" }, { "id": "1wxyuxx", "subreddit": "r/LocalLLaMA", "title": "Infermeld: a Linux kit for running one GGUF across AMD + NVIDIA GPUs with llama.cpp", "publishedDate": "2026-10-05", "score": 9, "url": "https://www.reddit.com/r/LocalLLaMA/comments/1wxyuxx/infermeld_a_linux_kit_for_running_one_gguf_across/", "checkedAt": "2026-11-01T11:46:04.261357+00:00", "dateBasis": "搜索结果的绝对发布日期；原帖正文已打开核验。票数来自搜索索引快照，非实时。", "evidence": "维护者列明 RX 6900 XT + RTX 3080、GGUF、layer split 和测试边界。", "commentCoverage": "尚未完成高赞回复核验", "intentSummary": "维护者希望让用户把已有的 AMD 与 NVIDIA 显卡一起用于本地推理，分享实验性 Infermeld 工具，并征集其他混卡配置的复现和失败反馈。" }, { "id": "1xdjx4q", "subreddit": "r/LocalLLaMA", "title": "Any AMD optimized engines?", "publishedDate": "2026-10-23", "score": 19, "url": "https://www.reddit.com/r/LocalLLaMA/comments/1xdjx4q/any_amd_optimized_engines/", "checkedAt": "2026-11-01T11:46:04.261357+00:00", "dateBasis": "搜索结果的绝对发布日期；原帖正文已打开核验。票数来自搜索索引快照，非实时。", "evidence": "正文报告 7800 XT 运行 Swift 1.5 GSQ RCO；回复确认其与 Qwen3.8-27B 的关系。", "commentCoverage": "已核验 2 条较高票回复及 1 条限制补充；非完整评论扫描", "intentSummary": "作者想寻找针对消费级 AMD GPU 的专门优化项目。他对 RX 7800 XT 当前运行 Swift 1.5 GSQ RCO 的表现已经满意，但看到不少针对 NVIDIA 的专用引擎，希望了解 AMD 有没有类似项目，进一步榨取现有硬件的性能。" } ], "pairs": [ { "id": "nemotron-5060", "sourceId": "1x9mwmz", "gpu": "2 × RTX 5060 Ti", "model": "Nemotron 3.5 Super VL 120B-A12B", "application": "知识问答", "runtime": "llama.cpp 0.7.0 / Vulkan", "quantization": "NVFP4", "memory": "每卡 16 GB；系统内存 2 × 48 GB", "summary": "作者用于游戏冷门知识问答，报告生成约 8–10 tok/s；无 MTP，按层拆分。", "limitations": "仍出现幻觉。多卡与大系统内存是该报告的配置，不代表单张 16 GB 卡可独立承载。", "status": "reported", "gpuModels": [ "RTX 5060 Ti" ] }, { "id": "drama-9070", "sourceId": "1x8kces", "gpu": "Radeon RX 9070", "model": "Fish Audio Drama 3", "application": "语音生成", "runtime": "Red Curtain / ROCm", "quantization": "FP8 experts + BF16", "memory": "16 GB 显卡；实占约 11–12 GB VRAM / 35 GB RAM", "summary": "通过系统内存存放专家生成短语音；作者报告 11.6 秒语音约用时 37 秒。", "limitations": "慢于实时，偶有首句后静音；仅 RX 9070 经作者测试。", "status": "limited", "gpuModels": [ "Radeon RX 9070" ] }, { "id": "flash-strix", "sourceId": "1xbipsl", "gpu": "AMD Strix Halo / Flow Z13", "model": "Qwen3.8-Flash-Next", "application": "编程 Agent", "runtime": "Halogen + Claude Code / Pi", "quantization": "约 Q4（4.16 bpw）", "memory": "统一内存；该帖未明确容量", "summary": "作者用真实 Rust 功能对比多组工具与推理强度；本地 Flash-Next 完成了实现。", "limitations": "单一任务、小样本且使用模型评审；不能推广为整体编程能力排名。", "status": "reported", "gpuModels": [ "AMD Strix Halo" ] }, { "id": "flash-3090ti", "sourceId": "1x46wxm", "gpu": "RTX 3090 Ti", "model": "Qwen3.8-Flash-Next", "application": "文本推理", "runtime": "Strata 0.1.39 / llama.cpp", "quantization": "IQ3_S", "memory": "24 GB；Strata 固定约 46.84 GiB 系统内存", "summary": "作者报告 Strata 在约 4K 提示词下生成 98.291 tok/s；单请求、生成 256 token、三次取中位数。", "limitations": "不同引擎 draft head 设置不同，速度不宜直接归因于显卡；24 GB 配置含内存卸载。", "status": "reported", "gpuModels": [ "RTX 3090 Ti" ] }, { "id": "flash-5090l", "sourceId": "1x46wxm", "gpu": "RTX 5090 Laptop", "model": "Qwen3.8-Flash-Next", "application": "文本推理", "runtime": "Strata 0.1.25 / llama.cpp", "quantization": "IQ3_S", "memory": "24 GB；Strata 固定约 46.84 GiB 系统内存", "summary": "作者报告 Strata 在约 4K 提示词下生成 85.6 tok/s；单请求、生成 256 token、三次取中位数。", "limitations": "不同引擎 draft head 设置不同，速度不宜直接归因于显卡；24 GB 配置含内存卸载。", "status": "reported", "gpuModels": [ "RTX 5090 Laptop" ] }, { "id": "flash-pro6000", "sourceId": "1x46wxm", "gpu": "RTX PRO 6000", "model": "Qwen3.8-Flash-Next", "application": "文本推理", "runtime": "Strata 0.1.39 / llama.cpp", "quantization": "IQ3_S", "memory": "96 GB；Strata 固定约 46.84 GiB 系统内存", "summary": "作者报告 Strata 在约 4K 提示词下生成 205.263 tok/s；单请求、生成 256 token、三次取中位数。", "limitations": "不同引擎 draft head 设置不同，速度不宜直接归因于显卡；24 GB 配置含内存卸载。", "status": "reported", "gpuModels": [ "RTX PRO 6000" ] }, { "id": "lfm-a4500", "sourceId": "1xce5dd", "gpu": "RTX A4500", "model": "LFM2.5-24B-A2B", "application": "编程 Agent", "runtime": "llamaampere → LM Studio / Hermes", "quantization": "Q4_K_M", "memory": "原帖未明确内存配置", "summary": "作者报告 llamaampere 下约 130 tok/s，但存在循环；更换工具后仍对插件编程结果不满。", "limitations": "速度与编程质量不是同一指标；配置与模板可能影响结果，属于单用户负面案例。", "status": "negative", "gpuModels": [ "RTX A4500" ] }, { "id": "qwen-mixed", "sourceId": "1wxyuxx", "gpu": "RX 6900 XT + RTX 3080", "model": "Qwen3.6-35B-A3B", "application": "混合 GPU 推理", "runtime": "Infermeld / llama.cpp / Vulkan + CUDA", "quantization": "UD-Q4_K_M", "memory": "16 GB + 10 GB；不等于全部可用", "summary": "维护者验证加载与短回答，预留 8,192 token 上下文；按层拆分。", "limitations": "尚未验证满上下文或持续吞吐；只验证这组硬件，不能视为通用混卡兼容。", "status": "limited", "gpuModels": [ "Radeon RX 6900 XT", "RTX 3080" ] }, { "id": "swift-7800", "sourceId": "1xdjx4q", "gpu": "Radeon RX 7800 XT", "model": "Swift 1.5 GSQ RCO", "application": "文本推理", "runtime": "原帖未明确引擎", "quantization": "GSQ RCO（具体位宽未注明）", "memory": "原帖未明确内存配置", "summary": "现有配置：RX 7800 XT 运行 Swift 1.5 GSQ RCO，作者报告约 40–45 tok/s。这是他继续寻找优化方案的背景。", "limitations": "主帖尚未给出进一步优化后的结果。回复提出的引擎与其他显卡的测试，应分别理解，不能视为这张 RX 7800 XT 已取得的提升。", "status": "seeking", "gpuModels": [ "Radeon RX 7800 XT" ] } ], "comments": [ { "id": "19rjlbkts8fmq", "sourceId": "1xdjx4q", "author": "bruns20", "score": 24, "kind": "工具建议", "summary": "建议关注 deadcode 的 Radiance 引擎，但这条回复没有给出 GPU、模型或量化配置，不能视为兼容性验证。", "url": "https://www.reddit.com/r/LocalLLaMA/comments/1xdjx4q/comment/19rjlbkts8fmq/", "checkedAt": "2026-11-01T12:01:38.674073+00:00", "scoreBasis": "搜索索引票数快照；回复正文与直达链接已核验", "publishedDate": "2026-10-23", "selection": "本次可见回复中票数较高" }, { "id": "19rjl081b77ky", "sourceId": "1xdjx4q", "author": "Consistent_Look_8638", "score": 9, "kind": "运行补充", "summary": "回复作者称其 PolyStrata-HIP 分支面向 RX 9060 XT 16 GB 与 Qwen3.6-35B-A3B，报告解码约 60–100 tok/s。未注明量化与完整测试条件；这不是主帖 RX 7800 XT 的结果。", "url": "https://www.reddit.com/r/LocalLLaMA/comments/1xdjx4q/comment/19rjl081b77ky/", "checkedAt": "2026-11-01T12:01:38.674073+00:00", "scoreBasis": "搜索索引票数快照；回复正文与直达链接已核验", "publishedDate": "2026-10-23", "selection": "本次可见回复中票数较高" }, { "id": "19rjqg0jzjodc", "sourceId": "1xdjx4q", "author": "fullup72", "score": 1, "kind": "限制提醒", "summary": "这条较低票回复提醒：Radiance 的模型格式与 GGUF 不同，现成的 Qwen3.8-27B 版本可能超出 16 GB 容量。属于对高票工具推荐的条件补充，尚未由本站独立验证。", "url": "https://www.reddit.com/r/LocalLLaMA/comments/1xdjx4q/comment/19rjqg0jzjodc/", "checkedAt": "2026-11-01T12:01:38.674073+00:00", "scoreBasis": "搜索索引票数快照；回复正文与直达链接已核验", "publishedDate": "2026-10-23", "selection": "低票但补充高票建议的限制" } ], "windowStart": "2026-10-02", "windowEnd": "2026-11-01" }