Add support for blackwell and Cuda 13.3 for the cuda build
Nobody has claimed this yet.
Assessment
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Newbie friendliness
- 48/100
- Issue type
- Feature
- Clarity
- Mostly clear
- Activity status
- Active
- Domain
- build-system, performance
Research direction
Start by reproducing the shown Windows executable command with the CUDA backend on the NVIDIA GeForce RTX 5060 Ti, then inspect the repository's CUDA build entry points. Done means the CUDA build supports Blackwell and CUDA 13.3 and the reported inference failure no longer occurs.
Written by the indexing model from the issue text.
Description
Use case
Fix the issue with:
https://github.com/modelscope/FunASR/issues/3289
Implemented the fix for:
Cuda implementation broken
C:\Users\USER\Downloads\funasr-llamacpp-windows-x64-cuda>llama-funasr-sensevoice.exe -m sensevoice-small-q8.gguf -a sample.wav --backend cuda
ggml_cuda_init: found 1 CUDA devices (Total VRAM: 16310 MiB):
Device 0: NVIDIA GeForce RTX 5060 Ti, compute capability 12.0, VMM: yes, VRAM: 16310 MiB
C:\Users\USER\Downloads\funasr-llamacpp-windows-x64-cuda>dir sample.wav
Volume in drive C has no label.
Volume Serial Number is ---
Directory of C:\Users\USER\Downloads\funasr-llamacpp-windows-x64-cuda
07/19/2026 05:15 AM 1,077,326 sample.wav
1 File(s) 1,077,326 bytes
0 Dir(s) 89,731,526,656 bytes free
C:\Users\USER\Downloads\funasr-llamacpp-windows-x64-cuda>
C:\Users\USER\Downloads\funasr-llamacpp-windows-x64-cuda>llama-funasr-sensevoice.exe -m sensevoice-small-q8.gguf -a sample.wav
I'll record myself in English, no, you don't want.
[sensevoice] done 1.55s
Proposed solution
Add support for this card and cuda version!
Alternatives or workarounds
None
Expected impact
Improve performance for cuda
- Dominant language
- Python
- Stars
- 20.4k
- Forks
- 2k
- Avg merge
- 4h 55m
- Merged PRs (30d)
- 169
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
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