Publish accepted Thor LPK 0.5.16 and performance report
Browse files- .gitattributes +1 -0
- PERFORMANCE-0.5.16.md +63 -0
- SHA256SUMS-0.5.16 +3 -0
- cloud.lazycat.aipod.glm53f-v0.5.16.lpk +3 -0
- release-0.5.16.json +701 -0
.gitattributes
CHANGED
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@@ -36,3 +36,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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cloud.lazycat.aipod.glm53f-v0.5.0.lpk filter=lfs diff=lfs merge=lfs -text
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cloud.lazycat.aipod.glm53f-v0.5.1.lpk filter=lfs diff=lfs merge=lfs -text
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cloud.lazycat.aipod.glm53f-v0.5.2.lpk filter=lfs diff=lfs merge=lfs -text
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cloud.lazycat.aipod.glm53f-v0.5.0.lpk filter=lfs diff=lfs merge=lfs -text
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cloud.lazycat.aipod.glm53f-v0.5.1.lpk filter=lfs diff=lfs merge=lfs -text
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cloud.lazycat.aipod.glm53f-v0.5.2.lpk filter=lfs diff=lfs merge=lfs -text
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cloud.lazycat.aipod.glm53f-v0.5.16.lpk filter=lfs diff=lfs merge=lfs -text
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PERFORMANCE-0.5.16.md
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# LPK 0.5.16 默认 8 路安装后复测
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0.5.16 小包通过 LPK / Model Host 实际安装并部署到 192.168.1.124 和 192.168.1.104。默认最大并发改为 8 路,单请求仍为 1M 上下文,共享 KV 池为 2,676,736 tokens(4 路时为 2,684,928 tokens)。
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推理镜像和所有运行源码、原生模块与上次验收相同;仅 LPK 控制器的默认并发及对应 64 行共享验证窗口改变。安装前基线使用此前在同一双机、同一推理镜像、临时 8 路配置下采集的三轮原始成绩。
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## 相同 8 路配置的三轮中位数
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未修改的 sparkDash 1.8.9 采集器;每路 400 输出 tokens、32-token 解码预热、temperature=0、top_p=1、关闭思考。冷 Prefill 使用独立 nonce,并由累计缓存计数确认未命中。
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| 指标 | 安装前 tok/s | 安装后 tok/s | 吞吐变化 | 安装前 TTFT ms | 安装后 TTFT ms |
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| --- | ---: | ---: | ---: | ---: | ---: |
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| C1 decode aggregate | 49.31 | 49.63 | +0.65% | 261.93 | 261.86 |
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| C8 decode aggregate | 106.12 | 105.50 | -0.58% | 648.76 | 651.14 |
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| 8K cold prefill | 791.84 | 820.75 | +3.65% | 10372.04 | 10010.35 |
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| 32K cold prefill | 865.77 | 905.86 | +4.63% | 37878.35 | 36204.30 |
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预先声明的工程门禁均通过:各项吞吐下降不超过 3%,冷 Prefill TTFT 增长不超过 3%,短提示 TTFT 增长不超过 10%。完整三轮样本和门禁计算保留在发行证据中;这不等于统计等价性证明。
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8 并发各流生成速度的中位数为 13.81 tok/s;表中 8 并发值为合计吞吐。
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## 完整 1M 与 SSD 历史恢复
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安装后在默认 8 路配置下,新随机请求实际计算 1,048,448 个输入 tokens,缓存命中 0,Prefill 667.91 tok/s,TTFT 1570.87 秒;前、中、后三处检索与完整 token 计数通过。
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此前默认 4 路、同长度的单次结果为 661.92 tok/s、TTFT 1588.17 秒。并发上限与随机输入均不同,仅供参考,不用于上述 3% 门禁。
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安装前保留的三个 64K 历史在新版 LPK 停止/启动后从 SSD 恢复,逐条验证磁盘加载计数增加:
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| 历史 | 缓存命中 | TTFT 秒 |
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| --- | ---: | ---: |
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| 64K-1 | 100.000% | 1.124 |
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| 64K-2 | 100.000% | 0.365 |
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| 64K-3 | 100.000% | 0.366 |
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新 1M 历史在实际 LPK 重启后恢复:缓存命中 100.000%,TTFT 9.562 秒,输出与冷请求逐字一致,SSD 加载计数增加。
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并发从 4 改为 8 会改变 TensorFold 的 SSD 兼容标识。两机旧命名空间各有 39 份快照;原件全部保留,缺失的 38 份/节点经保留原件的头部标识迁移后,新服务索引有 45 项。三条 64K 和一条旧 1M 历史已跨配置验证 100% 缓存命中、逐字输出一致和实际读盘;其余文件完成双 rank 结构/启动扫描,未逐条重放。旧 1M 续问 TTFT 为 9.56 秒。
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## 包、代码与来源
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LPK 大小 6,652,416 bytes,SHA256 `5721567582001061f2fece5ac0157e42f83d7867558989b9ccddb1844cf1f82d`。
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最终推理镜像 ID `sha256:5149447c3091bee8b7f0816e26f2e1f8fd72968197544ba0fda65a7caa5103c6`。两端源文件和原生模块再次读回校验;模型文件的路径、大小、mtime 与 inode 在安装前后完全一致。
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LPK 与运行归档仅通过用户 manateelazycat 的 Hugging Face / ModelScope 账户发布。小包复用下列已经公开且固定 revision 的运行归档依赖链:
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| 归档 | bytes | HF 固定 revision | MS 固定 revision |
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| --- | ---: | --- | --- |
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| glm-5.3-flash-dual-t5000-runtime-0.5.14.tar.gz | 3,173,705,404 | `fb520c24f72d189d8d43136c8291a101fce21b3c` | `f47dfedb7662453cdbaf197626d0b6c14bb19eb9` |
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| glm-5.3-flash-dual-t5000-runtime-0.5.15-source.tar.gz | 1,686,212 | `547f480bd081b253c15f7959a54f9175d5eb38fe` | `6702209a8869792e7ccc2a3107013e255576102e` |
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| glm-5.3-flash-dual-t5000-runtime-0.5.15-native.tar.gz | 5,926,786 | `aba9a81a3cd0e18a60ec04b33713414048b0bdd4` | `e7de9add79531bbaed198f3cedb123a745c649a2` |
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| glm-5.3-flash-dual-t5000-runtime-0.5.15-incremental.tar.gz | 132,134 | `00d273025d5562b26ac98dde962c2be6fbc01984` | `6dd1c279757c83cd075382df3de73d908129f547` |
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运行归档曾在空隔离 Docker 中按依赖顺序实际导入并逐文件校验;本次 LPK 仅改变部署配置,没有重传 3.2 GB 基础归档。模型权重、KV 历史和编译缓存均不进入公开包。
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0.5.15 默认 4 路安装后首轮 8K Prefill 曾超出 3% 门禁;失败样本、缓存诊断与复测数据保存在 `dist/mia-release-0.5.15/`。本版的验收基线是此前真实 8 路测量,不把 4 路与 8 路吞吐混作安装回归。
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0.5.16 初次安装验证暴露了 SSD 快照兼容标识改变,旧会话未自动命中;已迁移并保留旧快照,失败样本在 `installed-verification-first-ssd-failed/`。第二次验证的功能脚本仍限制 4 路,修正脚本后完整重跑;旧日志在 `installed-verification-second-harness-failed/`。
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Thor 上游补丁仍覆盖固定的 107 项中适用的 99 项;新增 24 项,其余此前已覆盖,8 项硬件不适用保持排除。见 [Thor 补丁报告](BENCHMARK-THOR-ALL-PATCHES-20261014.md)。
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全部安装收据、三轮样本、1M 请求/SSE、SSD 恢复和双节点镜像审计保存在 `dist/mia-release-0.5.16/`;同名 JSON 报告绑定关键证据 SHA256。模型来源证明沿用原完整验收,本轮未重新下载或重算全部 178 GB 权重的哈希。
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SHA256SUMS-0.5.16
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72262db8bffde23a73cc76b46d47dd612143ef64ab2bbb377a4c50d8e3313ecb PERFORMANCE-0.5.16.md
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5721567582001061f2fece5ac0157e42f83d7867558989b9ccddb1844cf1f82d cloud.lazycat.aipod.glm53f-v0.5.16.lpk
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3d11868aad5abe776f2961ad59cb5b47b17bbbda3b9e3baa3d22979b8929028d release-0.5.16.json
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cloud.lazycat.aipod.glm53f-v0.5.16.lpk
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version https://git-lfs.github.com/spec/v1
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oid sha256:5721567582001061f2fece5ac0157e42f83d7867558989b9ccddb1844cf1f82d
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size 6652416
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release-0.5.16.json
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|
| 1 |
+
{
|
| 2 |
+
"passed": true,
|
| 3 |
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"version": "0.5.16",
|
| 4 |
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"validationScope": "existing-thor-tp2-upgrade",
|
| 5 |
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"hosts": [
|
| 6 |
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"192.168.1.124",
|
| 7 |
+
"192.168.1.104"
|
| 8 |
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],
|
| 9 |
+
"defaultConcurrency": 8,
|
| 10 |
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"package": {
|
| 11 |
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"name": "cloud.lazycat.aipod.glm53f-v0.5.16.lpk",
|
| 12 |
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"size": 6652416,
|
| 13 |
+
"sha256": "5721567582001061f2fece5ac0157e42f83d7867558989b9ccddb1844cf1f82d"
|
| 14 |
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|
| 15 |
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"imageId": "sha256:5149447c3091bee8b7f0816e26f2e1f8fd72968197544ba0fda65a7caa5103c6",
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| 16 |
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| 17 |
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{
|
| 18 |
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"name": "glm-5.3-flash-dual-t5000-runtime-0.5.14.tar.gz",
|
| 19 |
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"size": 3173705404,
|
| 20 |
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"sha256": "38e8275d106031d9d53c6c6194f156d331ad68231f317de106bf10d88b4f4821",
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| 21 |
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"imageId": "sha256:81825a22506ab353fc71aa06ca4061a3a5a72f10ffac559a159b0acc6cda8072",
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| 22 |
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| 23 |
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|
| 24 |
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"repository": "manateelazycat/GLM-5.3-Flash-TensorFold-Runtime",
|
| 25 |
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"revision": "fb520c24f72d189d8d43136c8291a101fce21b3c"
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| 26 |
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},
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| 27 |
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"modelscope": {
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| 28 |
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"repository": "manateelazycat/GLM-5.3-Flash-TensorFold-Runtime",
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| 29 |
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"revision": "f47dfedb7662453cdbaf197626d0b6c14bb19eb9"
|
| 30 |
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}
|
| 31 |
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}
|
| 32 |
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|
| 33 |
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{
|
| 34 |
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"name": "glm-5.3-flash-dual-t5000-runtime-0.5.15-source.tar.gz",
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| 35 |
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"size": 1686212,
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| 36 |
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"sha256": "c0f42dbcdf49e6157baba49ee83ff2b70e56cb4d1212da0998050429f5992d0c",
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"imageId": "sha256:012953fc13b47d3de38087fe157a4c91194347d896eb68a3f68f38ea1b78496b",
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| 38 |
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"sources": {
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| 39 |
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| 40 |
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"repository": "manateelazycat/GLM-5.3-Flash-TensorFold-Runtime",
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| 41 |
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"revision": "547f480bd081b253c15f7959a54f9175d5eb38fe"
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| 42 |
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| 43 |
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"modelscope": {
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| 44 |
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"repository": "manateelazycat/GLM-5.3-Flash-TensorFold-Runtime",
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| 45 |
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"revision": "6702209a8869792e7ccc2a3107013e255576102e"
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| 46 |
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}
|
| 47 |
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}
|
| 48 |
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},
|
| 49 |
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{
|
| 50 |
+
"name": "glm-5.3-flash-dual-t5000-runtime-0.5.15-native.tar.gz",
|
| 51 |
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"size": 5926786,
|
| 52 |
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"sha256": "03f911d06ef7f7c9bc60c3c87171c8e14f4b9dbc972669377ae6945a5ee8b084",
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"imageId": "sha256:1f35a90d0b10391c9ea4b510c02d3bb702f2e9ee86a91b319a0953b62352d820",
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| 54 |
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"sources": {
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| 55 |
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"huggingface": {
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| 56 |
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"repository": "manateelazycat/GLM-5.3-Flash-TensorFold-Runtime",
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| 57 |
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"revision": "aba9a81a3cd0e18a60ec04b33713414048b0bdd4"
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| 58 |
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| 59 |
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"modelscope": {
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| 60 |
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"repository": "manateelazycat/GLM-5.3-Flash-TensorFold-Runtime",
|
| 61 |
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"revision": "e7de9add79531bbaed198f3cedb123a745c649a2"
|
| 62 |
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}
|
| 63 |
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}
|
| 64 |
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},
|
| 65 |
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{
|
| 66 |
+
"name": "glm-5.3-flash-dual-t5000-runtime-0.5.15-incremental.tar.gz",
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| 67 |
+
"size": 132134,
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| 68 |
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"sha256": "1d3bf12806daad88c7a95663e82d6cbfb80dc2c37c4a72863fe5c789905ff69f",
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| 69 |
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"imageId": "sha256:5149447c3091bee8b7f0816e26f2e1f8fd72968197544ba0fda65a7caa5103c6",
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| 70 |
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"sources": {
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| 71 |
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| 72 |
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"repository": "manateelazycat/GLM-5.3-Flash-TensorFold-Runtime",
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| 73 |
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"revision": "00d273025d5562b26ac98dde962c2be6fbc01984"
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| 74 |
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},
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| 75 |
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"modelscope": {
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| 76 |
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| 77 |
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| 78 |
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}
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| 79 |
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}
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| 80 |
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}
|
| 81 |
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],
|
| 82 |
+
"protocol": {
|
| 83 |
+
"label": "thor-r4-c1-c8-20261014",
|
| 84 |
+
"base": "http://192.168.1.124:19170/",
|
| 85 |
+
"model": "glm-5.3-flash",
|
| 86 |
+
"repetitions": 3,
|
| 87 |
+
"stages": [
|
| 88 |
+
"decode",
|
| 89 |
+
"prefill"
|
| 90 |
+
],
|
| 91 |
+
"contextSizes": [
|
| 92 |
+
8192,
|
| 93 |
+
32768
|
| 94 |
+
],
|
| 95 |
+
"decodeConcurrencies": [
|
| 96 |
+
1,
|
| 97 |
+
8
|
| 98 |
+
],
|
| 99 |
+
"sparkdashRevision": "ead41f78ebcf3758bd5f93bcbf3b49d70a83041a",
|
| 100 |
+
"protocol": "Unmodified sparkDash 1.8.9 collectors; 400 output tokens; temperature 0; top_p 1; thinking off; 32-token decode warmup; client first-to-last-token aggregate",
|
| 101 |
+
"sources": [
|
| 102 |
+
{
|
| 103 |
+
"path": "server/collectors/DecodeBench.js",
|
| 104 |
+
"sha256": "65fc472092b6c577f05efe7498c938d5522a784a5762480f71d17abe47a3f8ea"
|
| 105 |
+
},
|
| 106 |
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{
|
| 107 |
+
"path": "server/collectors/PrefillBench.js",
|
| 108 |
+
"sha256": "6b14c4eb3fb510806024c4a6ccb01d5c4e011014ebc40919a306a1519f1d67d4"
|
| 109 |
+
},
|
| 110 |
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{
|
| 111 |
+
"path": "server/collectors/LlmStreaming.js",
|
| 112 |
+
"sha256": "1e4d06b85e2742822bc87c1fa2e86c2432c160e43c4b5cf0fec1fd5786be845e"
|
| 113 |
+
},
|
| 114 |
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{
|
| 115 |
+
"path": "src/shared/llmPrompts.js",
|
| 116 |
+
"sha256": "f930fcfa13a041fcfe1ff6cfbf882f2c946293dc1ac29aba9f3768fd1ad327aa"
|
| 117 |
+
}
|
| 118 |
+
],
|
| 119 |
+
"startedUtc": "2026-10-14T01:12:44.720Z"
|
| 120 |
+
},
|
| 121 |
+
"comparisons": [
|
| 122 |
+
{
|
| 123 |
+
"metric": "C1 decode aggregate",
|
| 124 |
+
"beforeTokensPerSecond": 49.31,
|
| 125 |
+
"afterTokensPerSecond": 49.63,
|
| 126 |
+
"throughputChangePercent": 0.648955587102007,
|
| 127 |
+
"beforeTtftMs": 261.93,
|
| 128 |
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"afterTtftMs": 261.86,
|
| 129 |
+
"ttftChangePercent": -0.026724697438240685
|
| 130 |
+
},
|
| 131 |
+
{
|
| 132 |
+
"metric": "C8 decode aggregate",
|
| 133 |
+
"beforeTokensPerSecond": 106.12,
|
| 134 |
+
"afterTokensPerSecond": 105.5,
|
| 135 |
+
"throughputChangePercent": -0.5842442517904334,
|
| 136 |
+
"beforeTtftMs": 648.76,
|
| 137 |
+
"afterTtftMs": 651.14,
|
| 138 |
+
"ttftChangePercent": 0.3668536901165309
|
| 139 |
+
},
|
| 140 |
+
{
|
| 141 |
+
"metric": "8K cold prefill",
|
| 142 |
+
"beforeTokensPerSecond": 791.84,
|
| 143 |
+
"afterTokensPerSecond": 820.75,
|
| 144 |
+
"throughputChangePercent": 3.6509900990098876,
|
| 145 |
+
"beforeTtftMs": 10372.04,
|
| 146 |
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"afterTtftMs": 10010.35,
|
| 147 |
+
"ttftChangePercent": -3.487163566665774
|
| 148 |
+
},
|
| 149 |
+
{
|
| 150 |
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"metric": "32K cold prefill",
|
| 151 |
+
"beforeTokensPerSecond": 865.77,
|
| 152 |
+
"afterTokensPerSecond": 905.86,
|
| 153 |
+
"throughputChangePercent": 4.630560079466828,
|
| 154 |
+
"beforeTtftMs": 37878.35,
|
| 155 |
+
"afterTtftMs": 36204.3,
|
| 156 |
+
"ttftChangePercent": -4.419543089918109
|
| 157 |
+
}
|
| 158 |
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],
|
| 159 |
+
"longContext": {
|
| 160 |
+
"inputTokens": 1048448,
|
| 161 |
+
"cachedTokens": 0,
|
| 162 |
+
"installedEightPrefillTokensPerSecond": 667.910777219144,
|
| 163 |
+
"installedEightTtftSeconds": 1570.8711028569378,
|
| 164 |
+
"oldFourPrefillTokensPerSecond": 661.9214300383794,
|
| 165 |
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"oldFourTtftSeconds": 1588.1729277479462,
|
| 166 |
+
"checks": {
|
| 167 |
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"http": true,
|
| 168 |
+
"sse": true,
|
| 169 |
+
"quality": true,
|
| 170 |
+
"usage": true,
|
| 171 |
+
"oneRequest": true,
|
| 172 |
+
"healthyAndIdle": true,
|
| 173 |
+
"fullPromptComputed": true,
|
| 174 |
+
"completionCounter": true,
|
| 175 |
+
"drafter": true
|
| 176 |
+
},
|
| 177 |
+
"scope": "One fresh random full 1M cold request after installing the default-eight LPK. Old four-stream value is context only; it is not a like-for-like performance gate."
|
| 178 |
+
},
|
| 179 |
+
"ssd": {
|
| 180 |
+
"passed": true,
|
| 181 |
+
"retainedHistories": {
|
| 182 |
+
"path": "installed-verification/ssd-retained-histories/summary.json",
|
| 183 |
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"sha256": "d2a5a149aca0e75aeb1b383b52ed5072ef733162eda57d2ba0ce320d70d9eeb0",
|
| 184 |
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"cachedPercent": [
|
| 185 |
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100.0,
|
| 186 |
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100.0,
|
| 187 |
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100.0
|
| 188 |
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],
|
| 189 |
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"ttftSeconds": [
|
| 190 |
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|
| 191 |
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0.3654726690147072,
|
| 192 |
+
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|
| 193 |
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]
|
| 194 |
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},
|
| 195 |
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"oneMillionAfterLPKRestart": {
|
| 196 |
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"path": "installed-one-million-ssd/receipt.json",
|
| 197 |
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"sha256": "54f51703fb763f9fba8c087885242306e16177ad7d04f1873aee1e51af0500a7",
|
| 198 |
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"cachedPercent": 100.0,
|
| 199 |
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"ttftSeconds": 9.561538559035398
|
| 200 |
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},
|
| 201 |
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"scope": "Three 64K histories and the new 1M history restored from SSD after actual LPK restarts; exact 1M output and disk load counter checked."
|
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