docs: describe cu11 stack alongside cu12 in dataset card

README.md

@@ -2,7 +2,7 @@
 license: other
 license_name: nvidia-cuda-cudnn-redistributable
 license_link: https://docs.nvidia.com/cuda/eula/index.html
-pretty_name: MBFS CUDA Runtime Bundle (cuda_v12)
+pretty_name: MBFS CUDA Runtime Bundle (cuda_v12 + cuda_v11)
 tags:
   - cuda
   - cudnn
@@ -11,11 +11,23 @@ tags:
   - windows
 ---
 
-# MBFS CUDA Runtime Bundle (`cuda_v12`)
+# MBFS CUDA Runtime Bundle
+
+Self-contained, **ABI-matched** CUDA execution stacks for running
+[ONNX Runtime](https://onnxruntime.ai/) on Windows with the CUDA / TensorRT
+execution providers. One folder per CUDA major version:
+
+| Stack | Folder | CUDA | cuDNN | ONNX Runtime EP | When to use |
+|---|---|---|---|---|---|
+| **cu12** | [`cuda_v12/`](./cuda_v12) | 12.x | 9 | CUDA + TensorRT 10 | sm_75+ GPU on driver **R527+** (CUDA 12) |
+| **cu11** | [`cuda_v11/`](./cuda_v11) | 11.x | 8 | CUDA + TensorRT 8.6 | Pascal/Volta (sm_60–sm_70), or any GPU on a driver capped at CUDA 11.x |
+
+Pick the stack matching your GPU **and** driver: a newer GPU on an older driver
+must still use `cu11` (loading `cu12` binaries fails with
+`cudaErrorNoKernelImageForDevice`). The MBFS Sentinel build auto-detects this —
+`scripts/build_windows.py` clamps the stack to the lower of the GPU and driver
+ceilings (override with `--gpu-stack`).
 
-A self-contained, **ABI-matched** CUDA 12 execution stack for running
-[ONNX Runtime](https://onnxruntime.ai/) **1.23.2** on Windows with the CUDA
-execution provider.
 > ⚠️ These are **runtime redistributable libraries**, not source. The CUDA and
 > cuDNN DLLs are © NVIDIA Corporation and remain under NVIDIA's licenses — see
 > **[License & redistribution](#license--redistribution)** below.
@@ -26,28 +38,53 @@ execution provider.
 |---|---|---|
 | `onnxruntime.dll` | ONNX Runtime 1.23.2 (combined CUDA + DirectML + TensorRT + CPU build) | 15 MB |
 | `onnxruntime_providers_cuda.dll` | ONNX Runtime CUDA execution provider | 361 MB |
+| `onnxruntime_providers_tensorrt.dll` | ONNX Runtime TensorRT execution provider | <1 MB |
 | `onnxruntime_providers_shared.dll` | ONNX Runtime shared provider interface | <1 MB |
 | `cublas64_12.dll`, `cublasLt64_12.dll` | CUDA 12 cuBLAS | 96 / 451 MB |
 | `cudart64_12.dll` | CUDA 12 runtime | <1 MB |
 | `cufft64_11.dll` | CUDA 12 cuFFT | 279 MB |
-| `cudnn64_9.dll` + `cudnn_*64_9.dll` (9 files) | cuDNN 9 | ~1.4 GB |
+| `curand64_10.dll`, `cusparse64_12.dll` | CUDA 12 cuRAND / cuSPARSE | 62 / 264 MB |
+| `cudnn64_9.dll` + `cudnn_*64_9.dll` (7 files) | cuDNN 9 | ~1.4 GB |
+
+**Total ≈ 2.3 GiB.**
 
-**Total ≈ 2.0 GiB.** All DLLs come from a single matched build — the ONNX Runtime
-provider DLLs are ABI-locked to `onnxruntime.dll`, so the set must be used together
-(never mix with another ONNX Runtime release, or the CUDA EP fails to load).
+## Contents (`cuda_v11/`)
+
+| File | Component | Approx. size |
+|---|---|---|
+| `onnxruntime.dll` | ONNX Runtime (CUDA + TensorRT + CPU build) | 13 MB |
+| `onnxruntime_providers_cuda.dll` | ONNX Runtime CUDA execution provider | 223 MB |
+| `onnxruntime_providers_tensorrt.dll` | ONNX Runtime TensorRT execution provider | <1 MB |
+| `onnxruntime_providers_shared.dll` | ONNX Runtime shared provider interface | <1 MB |
+| `cublas64_11.dll`, `cublasLt64_11.dll` | CUDA 11 cuBLAS | 85 / 519 MB |
+| `cudart64_110.dll` | CUDA 11 runtime | <1 MB |
+| `cufft64_10.dll` | CUDA 11 cuFFT | 267 MB |
+| `curand64_10.dll`, `cusparse64_11.dll` | CUDA 11 cuRAND / cuSPARSE | 62 / 265 MB |
+| `cudnn64_8.dll` + `cudnn_{adv,cnn,ops}_{infer,train}64_8.dll` (6 files) | cuDNN 8 | ~1.0 GB |
+
+**Total ≈ 2.4 GiB.** cuDNN 8 keeps inference and training libraries split
+(`*_infer` / `*_train`), unlike cuDNN 9.
+
+> All DLLs in a folder come from a single matched build — the ONNX Runtime
+> provider DLLs are ABI-locked to that folder's `onnxruntime.dll`, so each set
+> must be used together (never mix DLLs across folders or with another ONNX
+> Runtime release, or the CUDA EP fails to load).
 
 ## Requirements
 
 - **OS:** Windows x64
-- **NVIDIA driver:** **R527+** (the minimum for CUDA 12.x). The CUDA *Toolkit* does
-  **not** need to be installed — this bundle ships the runtime.
-- **GPU:** see the support matrix below.
+- **NVIDIA driver:** `cu12` needs **R527+** (CUDA 12.x); `cu11` needs **R452+**
+  (CUDA 11.x). The CUDA *Toolkit* does **not** need to be installed — these
+  bundles ship the runtime.
+- **GPU:** see the support notes below.
 
-## GPU support matrix
+## GPU support
 
-`onnxruntime_providers_cuda.dll` is compiled with cubins for the following
-architectures (no PTX is embedded, so there is **no JIT forward-compatibility** to
-newer archs):
+### `cu12`
+
+`cuda_v12/onnxruntime_providers_cuda.dll` is compiled with cubins for the
+following architectures (no PTX is embedded, so there is **no JIT
+forward-compatibility** to newer archs):
 
 | Compute capability | Architecture | Example GPUs | Native CUDA |
 |---|---|---|---|
@@ -61,19 +98,33 @@ newer archs):
 | 9.0a | Hopper | H100, H200 | ✅ |
 | 10.x / 12.x | **Blackwell** | B100/B200, RTX 50xx | ❌ not native |
 
-On a GPU outside this range (e.g. Blackwell), or with a too-old driver, the host
+### `cu11`
+
+The `cu11` stack is the fallback for machines that predate CUDA 12: NVIDIA
+**Pascal (sm_60) → Volta (sm_70)**, and any otherwise-cu12-capable GPU running
+on a driver that only supports CUDA 11.x. Use it when `nvidia-smi` reports a
+CUDA version below 12.0, or for Pascal/Volta silicon. For newer GPUs on a
+current driver, prefer `cu12`.
+
+On a GPU outside the supported range, or with a too-old driver, the host
 application should fall back to DirectML (`DmlExecutionProvider`, requires
-`DirectML.dll` — **not** included here) or CPU. This bundle covers the native CUDA
-path only.
+`DirectML.dll` — **not** included here) or CPU. These bundles cover the native
+CUDA path only.
 
 ## Usage
 
-The MBFS STT build pulls this automatically. To fetch it manually:
+The MBFS Sentinel build pulls the right stack automatically
+(`build_windows.py --gpu-stack {cu12|cu11} --cuda-source hf`). To fetch a stack
+manually:
 
 ```bash
-# whole bundle into ./dist/lib (lands at ./dist/lib/cuda_v12/)
+# cu12 into ./dist/lib (lands at ./dist/lib/cuda_v12/)
 hf download MBFSAITeam/cuda-runtime-bundle --repo-type dataset \
   --include "cuda_v12/*" --local-dir ./dist/lib
+
+# cu11 into ./dist/lib (lands at ./dist/lib/cuda_v11/)
+hf download MBFSAITeam/cuda-runtime-bundle --repo-type dataset \
+  --include "cuda_v11/*" --local-dir ./dist/lib
 ```
 
 For reproducible builds, pin a commit revision with `--revision <sha>` instead of
@@ -84,10 +135,11 @@ For reproducible builds, pin a commit revision with `--revision <sha>` instead o
 This repository bundles components under **different licenses**:
 
 - **ONNX Runtime** (`onnxruntime*.dll`) — MIT License, © Microsoft.
-- **CUDA runtime** (`cudart`, `cublas`, `cublasLt`, `cufft`) — © NVIDIA Corporation,
-  redistributed under the [NVIDIA CUDA Toolkit EULA](https://docs.nvidia.com/cuda/eula/index.html).
-- **cuDNN** (`cudnn*64_9.dll`) — © NVIDIA Corporation, redistributed under the
-  [NVIDIA cuDNN Software License Agreement](https://docs.nvidia.com/deeplearning/cudnn/sla/index.html).
+- **CUDA runtime** (`cudart`, `cublas`, `cublasLt`, `cufft`, `curand`, `cusparse`)
+  — © NVIDIA Corporation, redistributed under the
+  [NVIDIA CUDA Toolkit EULA](https://docs.nvidia.com/cuda/eula/index.html).
+- **cuDNN** (`cudnn*.dll`, both v8 and v9) — © NVIDIA Corporation, redistributed
+  under the [NVIDIA cuDNN Software License Agreement](https://docs.nvidia.com/deeplearning/cudnn/sla/index.html).
 
 The NVIDIA libraries are redistributed **unmodified** as runtime dependencies, as
 permitted by the above agreements. NVIDIA, CUDA, and cuDNN are trademarks of NVIDIA