software-mansion/react-native-executorch-qwen-3.5

🤗 Hugging Face 来源image-text-to-textapache-2.011 GBother✓ 8 个校验和今天更新
一条命令提交

在你的模型文件夹旁边运行它。它会制作种子、将文件与 Hugging Face 比对,然后提交。你只需开始做种,并粘贴你账户中的密钥。它只读取你的文件,绝不修改。如果愿意,可以先阅读脚本。

curl -fsSL https://pirateface.co/package.sh | bash -s -- --repo software-mansion/react-native-executorch-qwen-3.5 ./model-folder
需要做种者 →

qwen-3.5

This repository hosts the qwen-3.5 models exported for the React Native ExecuTorch library as ExecuTorch .pte programs, ready to run on device.

Variants

Path Backend Precision
0_8b/xnnpack/qwen_3_5_0_8b_xnnpack_8da4w.pte xnnpack 8da4w
2b/xnnpack/qwen_3_5_2b_xnnpack_8da4w.pte xnnpack 8da4w
vl_0_8b/xnnpack/qwen_3_5_vl_0_8b_xnnpack_8da4w.pte xnnpack 8da4w
vl_2b/xnnpack/qwen_3_5_vl_2b_xnnpack_8da4w.pte xnnpack 8da4w

Repository structure

0_8b/tokenizer.json                                 12.2 MB
0_8b/tokenizer_config.json                          14.0 kB
0_8b/xnnpack/config.json                            1.4 kB
0_8b/xnnpack/qwen_3_5_0_8b_xnnpack_8da4w.pte        1.3 GB
2b/tokenizer.json                                   12.2 MB
2b/tokenizer_config.json                            14.0 kB
2b/xnnpack/config.json                              1.4 kB
2b/xnnpack/qwen_3_5_2b_xnnpack_8da4w.pte            2.8 GB
config.json                                         30 B
vl_0_8b/tokenizer.json                              12.2 MB
vl_0_8b/tokenizer_config.json                       14.0 kB
vl_0_8b/xnnpack/config.json                         1.2 kB
vl_0_8b/xnnpack/qwen_3_5_vl_0_8b_xnnpack_8da4w.pte  1.7 GB
vl_2b/tokenizer.json                                12.2 MB
vl_2b/tokenizer_config.json                         14.0 kB
vl_2b/xnnpack/config.json                           1.1 kB
vl_2b/xnnpack/qwen_3_5_vl_2b_xnnpack_8da4w.pte      4.0 GB

Compatibility

These files are published for the ExecuTorch v1.4.1 runtime. ExecuTorch gives no forward compatibility guarantee, so an older runtime may fail to load them.

To use them in React Native ExecuTorch, pass the model constant shipped in the library's model registry to the corresponding task pipeline. See the documentation.

To load these files in your own ExecuTorch runtime, read the compatibility note first.