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NInfer
qwen3.8
nvfp4
fp8
w4a4
blackwell
multimodal
conversational
cuda
rtx-5090
Eval Results (legacy)
Instructions to use neroued/Qwen3.8-27B-nvfp4-NInfer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NInfer
How to use neroued/Qwen3.8-27B-nvfp4-NInfer with NInfer:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
5090 mobile
#4
by easyeddy - opened
hey guys i need help ??
i got a RTX 5090 Laptop 24gb
when i run the model i get
failed: cudaErrorCooperativeLaunchTooLarge: too many blocks in cooperative launch
here is my config
./build/apps/ninfer-serve ~/models/qwen3_8_27b_nvfp4.ninfer
--max-context 16000
--kv-capacity 16000
--max-concurrency 1
--kv-dtype fp8
--device-state-slots 1
--host-state-slots 6
--host-kv-mib 4096
--spec mtp --draft-tokens 2
--lm-head-draft
--prefill-chunk 2048
is there any way to prevent this from failing? failed: cudaErrorCooperativeLaunchTooLarge: too many blocks in cooperative launch
or any other model that utilizes the 5090 architecture?
thanks
fixed
neroued changed discussion status to closed