a way to run this model on DGX Spark GB10 since its basicly arm64

### Self Checks - [x] I have thoroughly reviewed the project documentation (installation, training, inference) but couldn't find any relevant information that meets my needs. [English](https://speech.fish.audio/) [中文](https://speech.fish.audio/zh/) [日本語](https://speech.fish.audio/ja/) [Portuguese (Brazil)](https://speech.fish.audio/pt/) - [x] I have searched for existing issues [search for existing issues]([https://github.com/langgenius/dify/issues](https://github.com/fishaudio/fish-speech/issues)), including closed ones. - [x] I confirm that I am using English to submit this report (我已阅读并同意 [Language Policy](https://github.com/fishaudio/fish-speech/issues/515)). - [x] [FOR CHINESE USERS] 请务必使用英文提交 Issue，否则会被关闭。谢谢！:） - [x] Please do not modify this template :) and fill in all the required fields. ### 1. Is this request related to a challenge you're experiencing? Tell us your story. yes, since my device is not standar amd64 i got problem when using arm64 device like DGX Spark GB10 ### 2. What is your suggested solution? i tried blindly using this docker command docker build --platform linux/arm64 -f docker/Dockerfile --build-arg BACKEND=cuda --build-arg CUDA_VER=12.9.0 --build-arg UV_EXTRA=cu129 --target webui -t fish-speech-webui:cuda . and got this error => [app-base 5/10] WORKDIR /app 0.0s => [app-base 6/10] COPY --chown=1000:1000 pyproject.toml uv.lock README.md ./ 0.1s => ERROR [app-base 7/10] RUN --mount=type=cache,target=/tmp/uv-cache,uid=1000,gid=1000 uv python pin 3.12 && uv sync --extra cu129 --frozen --no-install-project 0.3s ------ > [app-base 7/10] RUN --mount=type=cache,target=/tmp/uv-cache,uid=1000,gid=1000 uv python pin 3.12 && uv sync --extra cu129 --frozen --no-install-project: 0.244 Pinned `.python-version` to `3.12` 0.251 Using CPython 3.12.3 interpreter at: /usr/bin/python3.12 0.251 Creating virtual environment at: .venv 0.281 error: Distribution `triton==3.4.0 @ registry+https://pypi.org/simple` can't be installed because it doesn't have a source distribution or wheel for the current platform 0.281 0.281 hint: You're on Linux (`manylinux_2_39_aarch64`), but `triton` (v3.4.0) only has wheels for the following platforms: `manylinux_2_27_x86_64`, `manylinux_2_28_x86_64`; consider adding your platform to `tool.uv.required-environments` to ensure uv resolves to a version with compatible wheels ------ Dockerfile:211 -------------------- 210 | # Use a generic cache path that works regardless of username 211 | >>> RUN --mount=type=cache,target=/tmp/uv-cache,uid=${USER_UID},gid=${USER_GID} \ 212 | >>> uv python pin ${PY_VER} \ 213 | >>> && uv sync --extra ${UV_EXTRA} --frozen --no-install-project 214 | -------------------- ERROR: failed to build: failed to solve: process "/bin/sh -c uv python pin ${PY_VER} && uv sync --extra ${UV_EXTRA} --frozen --no-install-project" did not complete successfully: exit code: 2 before i spend time, can i know that this model could run on my device? ### 3. Additional context or comments _No response_ ### 4. Can you help us with this feature? - [x] I am interested in contributing to this feature.