software-mansion/react-native-executorch-qwen-2.5

🤗 Hugging Face 来源text-generationapache-2.029 GBother✓ 9 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-2.5 ./model-folder
需要做种者 →

qwen-2.5

This repository hosts the qwen-2.5 models exported for the React Native ExecuTorch library as ExecuTorch .pte programs, ready to run on device.

Variants

Path Backend Precision
0_5b/mlx/qwen_2_5_0_5b_mlx_int4.pte mlx 4w
0_5b/xnnpack/qwen_2_5_0_5b_xnnpack_bf16.pte xnnpack bf16
0_5b/xnnpack/qwen_2_5_0_5b_xnnpack_8da4w.pte xnnpack 8da4w
1_5b/mlx/qwen_2_5_1_5b_mlx_int4.pte mlx 4w
1_5b/xnnpack/qwen_2_5_1_5b_xnnpack_bf16.pte xnnpack bf16
1_5b/xnnpack/qwen_2_5_1_5b_xnnpack_8da4w.pte xnnpack 8da4w
3b/mlx/qwen_2_5_3b_mlx_int4.pte mlx 4w
3b/xnnpack/qwen_2_5_3b_xnnpack_bf16.pte xnnpack bf16
3b/xnnpack/qwen_2_5_3b_xnnpack_8da4w.pte xnnpack 8da4w

Repository structure

0_5b/mlx/config.json                          1.3 kB
0_5b/mlx/qwen_2_5_0_5b_mlx_int4.pte           510 MB
0_5b/xnnpack/config.json                      2.3 kB
0_5b/xnnpack/qwen_2_5_0_5b_xnnpack_8da4w.pte  398 MB
0_5b/xnnpack/qwen_2_5_0_5b_xnnpack_bf16.pte   944 MB
1_5b/mlx/config.json                          1.3 kB
1_5b/mlx/qwen_2_5_1_5b_mlx_int4.pte           1.2 GB
1_5b/xnnpack/config.json                      2.3 kB
1_5b/xnnpack/qwen_2_5_1_5b_xnnpack_8da4w.pte  1.1 GB
1_5b/xnnpack/qwen_2_5_1_5b_xnnpack_bf16.pte   2.9 GB
3b/mlx/config.json                            1.3 kB
3b/mlx/qwen_2_5_3b_mlx_int4.pte               2.1 GB
3b/xnnpack/config.json                        2.3 kB
3b/xnnpack/qwen_2_5_3b_xnnpack_8da4w.pte      1.9 GB
3b/xnnpack/qwen_2_5_3b_xnnpack_bf16.pte       5.8 GB
config.json                                   30 B
tokenizer.json                                6.7 MB
tokenizer_config.json                         7.1 kB

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.