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Update canonical model series and public download statistics

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Files changed (4) hide show
  1. README.md +29 -27
  2. README.zh-CN.md +29 -27
  3. bundle-manifest.json +6 -6
  4. series-downloads.json +2 -2
README.md CHANGED
@@ -141,6 +141,35 @@ Compute depth and output width address two different costs. The native low-effor
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  The optimization reduces output-head work, not the context-processing backbone. Current vLLM latency results do not include candidate-only output-head execution. See the [Technical Report](TECHNICAL_REPORT.md#6-performance-where-the-savings-can-come-from) for the mechanism and execution boundaries.
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  ## 5. Minimal Inference
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  The root [meta.yaml](meta.yaml) catalogs model variants and their configuration hashes. Include it when downloading a variant; the repository and existing model paths are unchanged. You can also use [download_model.py](download_model.py) with `--variant 9B-3000 --local-dir ./APUS-OpenJev-v1`; it selects and checks the variant at one fixed Hub revision. Hub download statistics count requests to selected metadata files, not unique users or completed weight transfers. Older subfolder-only clients can bypass this metadata.
@@ -245,30 +274,3 @@ Visit the [APUS official website](https://www.apusai.com) or [APUS AI Lab on Hug
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  **Authors:** gumpcheng ([https://huggingface.co/xDAN2099](https://huggingface.co/xDAN2099)), zhangxu, [APUS AI-LAB](https://github.com/APUS-AI-Lab).
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- <!-- OPENJEV-SERIES:START -->
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- ## Model series and public downloads
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-
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- [APUS-OpenJev-v1 Collection](https://huggingface.co/collections/apus-ailab/apus-openjev-v1-6ab1ee888eb002fcdd3a2825)
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-
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- Standalone repositories use standard root-level model files. This repository and its legacy download paths remain available.
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-
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- | Model | Checkpoint | Release |
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- |---|---:|---|
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- | [4B](https://huggingface.co/apus-ailab/APUS-OpenJev-v1-4B) | 5949 | BF16 standalone |
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- | [9B](https://huggingface.co/apus-ailab/APUS-OpenJev-v1-9B) | 3000 | BF16 standalone |
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- | 35B-A3B | 5949 | Merge/reload validation in progress |
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-
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- ### Download statistics · 项目汇总
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-
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- Status: **current**. Observed: 2026-09-22T03:08:12.998307Z (UTC). Last checked: 2026-09-22T03:08:12.998307Z (UTC).
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-
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- | Model | Last 30 days | All time | Status |
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- | --- | ---: | ---: | --- |
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- | [4B](https://huggingface.co/apus-ailab/APUS-OpenJev-v1-4B) | 0 | 0 | current |
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- | [9B](https://huggingface.co/apus-ailab/APUS-OpenJev-v1-9B) | 0 | 0 | current |
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- | 35B-A3B | — | — | unpublished; excluded |
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- | **Series total (project-computed)** | 0 | 0 | complete |
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-
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- Totals sum only the published canonical repositories in this snapshot, separately for each time window. Historical snapshots and family/mirror repositories are never added. This is a project-computed summary, not a native Hugging Face Collection counter. Hub download counters are not unique users.
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-
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- <!-- OPENJEV-SERIES:END -->
 
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  The optimization reduces output-head work, not the context-processing backbone. Current vLLM latency results do not include candidate-only output-head execution. See the [Technical Report](TECHNICAL_REPORT.md#6-performance-where-the-savings-can-come-from) for the mechanism and execution boundaries.
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+ <!-- OPENJEV-SERIES:START -->
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+ ## Model series and public downloads
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+
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+ [APUS-OpenJev-v1 Collection](https://huggingface.co/collections/apus-ailab/apus-openjev-v1-6ab1ee888eb002fcdd3a2825)
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+
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+ Standalone repositories use standard root-level model files. This repository and its legacy download paths remain available.
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+
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+ - **4B · checkpoint-5949 · BF16**: [https://huggingface.co/apus-ailab/APUS-OpenJev-v1-4B](https://huggingface.co/apus-ailab/APUS-OpenJev-v1-4B)
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+
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+ - **9B · checkpoint-3000 · BF16**: [https://huggingface.co/apus-ailab/APUS-OpenJev-v1-9B](https://huggingface.co/apus-ailab/APUS-OpenJev-v1-9B)
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+
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+ - **35B-A3B · checkpoint-5949**: Merge/reload validation in progress; link available after publication.
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+
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+
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+ ### Download statistics · 项目汇总
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+
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+ Status: **current**. Observed: 2026-09-22T03:10:37.132203Z (UTC). Last checked: 2026-09-22T03:10:37.132203Z (UTC).
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+
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+ | Model | Last 30 days | All time | Status |
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+ | --- | ---: | ---: | --- |
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+ | [4B](https://huggingface.co/apus-ailab/APUS-OpenJev-v1-4B) | 0 | 0 | current |
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+ | [9B](https://huggingface.co/apus-ailab/APUS-OpenJev-v1-9B) | 0 | 0 | current |
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+ | 35B-A3B | — | — | unpublished; excluded |
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+ | **Series total (project-computed)** | 0 | 0 | complete |
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+
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+ Totals sum only the published canonical repositories in this snapshot, separately for each time window. Historical snapshots and family/mirror repositories are never added. This is a project-computed summary, not a native Hugging Face Collection counter. Hub download counters are not unique users.
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+
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+ <!-- OPENJEV-SERIES:END -->
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+
173
  ## 5. Minimal Inference
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175
  The root [meta.yaml](meta.yaml) catalogs model variants and their configuration hashes. Include it when downloading a variant; the repository and existing model paths are unchanged. You can also use [download_model.py](download_model.py) with `--variant 9B-3000 --local-dir ./APUS-OpenJev-v1`; it selects and checks the variant at one fixed Hub revision. Hub download statistics count requests to selected metadata files, not unique users or completed weight transfers. Older subfolder-only clients can bypass this metadata.
 
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  **Authors:** gumpcheng ([https://huggingface.co/xDAN2099](https://huggingface.co/xDAN2099)), zhangxu, [APUS AI-LAB](https://github.com/APUS-AI-Lab).
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README.zh-CN.md CHANGED
@@ -141,6 +141,35 @@ tags:
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  这一优化减少的是输出头工作,不省略上下文骨干计算;当前 vLLM 延迟结果尚不包含候选专用输出头的收益。机制和执行范围见[技术报告](TECHNICAL_REPORT.md#6-performance-where-the-savings-can-come-from)。
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  ## 5. 最小推理示例
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  根目录 [meta.yaml](meta.yaml) 提供模型版本及配置哈希;下载指定版本时请同时保留它,仓库与原模型路径不变。也可运行 [download_model.py](download_model.py),参数为 `--variant 9B-3000 --local-dir ./APUS-OpenJev-v1`,在同一固定 Hub revision 选择并校验模型。Hub 下载统计按指定元数据文件的请求计数,不等同独立用户或完整权重下载;旧版仅下载子目录的客户端可能绕过此元数据。
@@ -200,30 +229,3 @@ python examples.py . --device cuda:0 --effort high
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  **Authors:** gumpcheng ([https://huggingface.co/xDAN2099](https://huggingface.co/xDAN2099)), zhangxu, [APUS AI-LAB](https://github.com/APUS-AI-Lab)。
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- <!-- OPENJEV-SERIES:START -->
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- ## 模型系列与公开下载统计
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-
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- [APUS-OpenJev-v1 Collection](https://huggingface.co/collections/apus-ailab/apus-openjev-v1-6ab1ee888eb002fcdd3a2825)
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-
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- 独立模型仓库已采用标准根目录布局;原仓库与旧下载路径继续保留。
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-
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- | Model | Checkpoint | Release |
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- |---|---:|---|
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- | [4B](https://huggingface.co/apus-ailab/APUS-OpenJev-v1-4B) | 5949 | BF16 standalone |
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- | [9B](https://huggingface.co/apus-ailab/APUS-OpenJev-v1-9B) | 3000 | BF16 standalone |
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- | 35B-A3B | 5949 | Merge/reload validation in progress |
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-
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- ### Download statistics · 项目汇总
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-
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- Status: **current**. Observed: 2026-09-22T03:08:12.998307Z (UTC). Last checked: 2026-09-22T03:08:12.998307Z (UTC).
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-
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- | Model | Last 30 days | All time | Status |
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- | --- | ---: | ---: | --- |
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- | [4B](https://huggingface.co/apus-ailab/APUS-OpenJev-v1-4B) | 0 | 0 | current |
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- | [9B](https://huggingface.co/apus-ailab/APUS-OpenJev-v1-9B) | 0 | 0 | current |
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- | 35B-A3B | — | — | unpublished; excluded |
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- | **Series total (project-computed)** | 0 | 0 | complete |
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-
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- Totals sum only the published canonical repositories in this snapshot, separately for each time window. Historical snapshots and family/mirror repositories are never added. This is a project-computed summary, not a native Hugging Face Collection counter. Hub download counters are not unique users.
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-
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- <!-- OPENJEV-SERIES:END -->
 
141
 
142
  这一优化减少的是输出头工作,不省略上下文骨干计算;当前 vLLM 延迟结果尚不包含候选专用输出头的收益。机制和执行范围见[技术报告](TECHNICAL_REPORT.md#6-performance-where-the-savings-can-come-from)。
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+ <!-- OPENJEV-SERIES:START -->
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+ ## 模型系列与公开下载统计
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+
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+ [APUS-OpenJev-v1 Collection](https://huggingface.co/collections/apus-ailab/apus-openjev-v1-6ab1ee888eb002fcdd3a2825)
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+
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+ 独立模型仓库已采用标准根目录布局;原仓库与旧下载路径继续保留。
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+
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+ - **4B · checkpoint-5949 · BF16**: [https://huggingface.co/apus-ailab/APUS-OpenJev-v1-4B](https://huggingface.co/apus-ailab/APUS-OpenJev-v1-4B)
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+
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+ - **9B · checkpoint-3000 · BF16**: [https://huggingface.co/apus-ailab/APUS-OpenJev-v1-9B](https://huggingface.co/apus-ailab/APUS-OpenJev-v1-9B)
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+
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+ - **35B-A3B · checkpoint-5949**: 合并与独立加载验证中,发布后提供链接.
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+
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+
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+ ### Download statistics · 项目汇总
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+
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+ Status: **current**. Observed: 2026-09-22T03:10:37.132203Z (UTC). Last checked: 2026-09-22T03:10:37.132203Z (UTC).
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+
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+ | Model | Last 30 days | All time | Status |
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+ | --- | ---: | ---: | --- |
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+ | [4B](https://huggingface.co/apus-ailab/APUS-OpenJev-v1-4B) | 0 | 0 | current |
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+ | [9B](https://huggingface.co/apus-ailab/APUS-OpenJev-v1-9B) | 0 | 0 | current |
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+ | 35B-A3B | — | — | unpublished; excluded |
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+ | **Series total (project-computed)** | 0 | 0 | complete |
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+
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+ Totals sum only the published canonical repositories in this snapshot, separately for each time window. Historical snapshots and family/mirror repositories are never added. This is a project-computed summary, not a native Hugging Face Collection counter. Hub download counters are not unique users.
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+
171
+ <!-- OPENJEV-SERIES:END -->
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+
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  ## 5. 最小推理示例
174
 
175
  根目录 [meta.yaml](meta.yaml) 提供模型版本及配置哈希;下载指定版本时请同时保留它,仓库与原模型路径不变。也可运行 [download_model.py](download_model.py),参数为 `--variant 9B-3000 --local-dir ./APUS-OpenJev-v1`,在同一固定 Hub revision 选择并校验模型。Hub 下载统计按指定元数据文件的请求计数,不等同独立用户或完整权重下载;旧版仅下载子目录的客户端可能绕过此元数据。
 
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  **Authors:** gumpcheng ([https://huggingface.co/xDAN2099](https://huggingface.co/xDAN2099)), zhangxu, [APUS AI-LAB](https://github.com/APUS-AI-Lab)。
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bundle-manifest.json CHANGED
@@ -592,13 +592,13 @@
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@@ -718,7 +718,7 @@
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@@ -734,7 +734,7 @@
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  "path": "README.md",
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  "path": "README.zh-CN.md",
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  "path": "TECHNICAL_REPORT.md",
 
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series-downloads.json CHANGED
@@ -1,7 +1,7 @@
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  {
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  "schema": "apus-openjev-series-stats.v1",
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- "generated_at": "2026-09-22T03:08:12.998307Z",
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- "observed_at": "2026-09-22T03:08:12.998307Z",
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  "published_repo_ids": [
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  "apus-ailab/APUS-OpenJev-v1-4B",
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  "apus-ailab/APUS-OpenJev-v1-9B"
 
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  {
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  "schema": "apus-openjev-series-stats.v1",
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+ "generated_at": "2026-09-22T03:10:37.132203Z",
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+ "observed_at": "2026-09-22T03:10:37.132203Z",
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  "published_repo_ids": [
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  "apus-ailab/APUS-OpenJev-v1-4B",
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  "apus-ailab/APUS-OpenJev-v1-9B"