Now Uploading Qwen/Qwen3-235B-A22B as LibraxisAI/Qwen3-235B-A22B-MLX-Q5
470gb vs 161gb with perfect quality.
Soon available:
Checking hf-xet installation...
✓ hf-xet is installed
✓ hf-xet optimizations enabled
Ready to upload!
This will upload ~161GB using chunk deduplication
Estimated time: 30-60 minutes with hf-xet
Press Enter to continue or Ctrl+C to cancel
Checking HF login...
Logged in as: div0-space
Choose upload destination:
1. Personal namespace: div0-space/Qwen3-235B-A22B-MLX-Q5
2. Organization namespace: LibraxisAI/Qwen3-235B-A22B-MLX-Q5 (requires org access)
3. Custom namespace
Choice (1-3): 1
Will upload to: div0-space/Qwen3-235B-A22B-MLX-Q5
Creating/checking repository...
✓ Repository created
Starting upload with hf-xet...
Chunk deduplication will save bandwidth!
It seems you are trying to upload a large folder at once. This might take some time and then fail if the folder is too large. For such cases, it is recommended to upload in smaller batches or to use `HfApi().upload_large_folder(...)`/`huggingface-cli upload-large-folder` instead. For more details, check out https://huggingface.co/docs/huggingface_hub/main/en/guides/upload#upload-a-large-folder.
Start hashing 43 files.
Finished hashing 43 files.
Uploading files using Xet Storage..
Uploading...: 47%|███████████████████████████████████████████▏ | 75.9G/162G [2:22:10<2:22Uploading...: 47%|███████████████████████████████████████████▎ | 76.0G/162G [2:22:14<2:06Uploading...: 47%|███████████████████████████████████████████▎ | 76.1G/162G [2:22:16<1:38Uploading...: 47%|███████████████████████████████████████████▎ | 76.1G/162G [2:22:35<1:38Uploading...: 47%|███████████████████████████████████████████▎ | 76.1G/162G [2:22:37<3:24Uploading...: 47%|███████████████████████████████████████████▎ | 76.2G/162G [2:22:49<3:37Uploading...: 47%|███████████████████████████████████████████▍ | 76.3G/162G [2:22:53<3:01Uploading...: 47%|███████████████████████████████████████████▍ | 76.3G/162G [2:22:58<2:34Uploading...: 47%|███████████████████████████████████████████▍ | 76.4G/162G [2:23:06<2:44Uploading...: 47%|███████████████████████████████████████████▌ | 76.5G/162G [2:23:08<2:04Uploading...: 47%|███████████████████████████████████████████▌ | 76.5G/162G [2:23:17<2:28Uploading...: 47%|███████████████████████████████████████████▌ | 76.6G/162G [2:23:25<2:34Uploading...: 47%|███████████████████████████████████████████▋ | 76.7G/162G [2:23:39<3:14Uploading...: 47%|███████████████████████████████████████████▋ | 76.7G/162G [2:23:46<2:59Uploading...: 48%|███████████████████████████████████████████▋ | 76.8G/162G [2:24:00<3:41Uploading...: 48%|███████████████████████████████████████████▋ | 76.9G/162G [2:24:04<2:58Uploading...: 48%|███████████████████████████████████████████▊ | 76.9G/162G [2:24:05<2:12Uploading...: 48%|███████████████████████████████████████████▊ | 77.0G/162G [2:24:13<2:20Uploading...: 48%|███████████████████████████████████████████▊ | 77.1G/162G [2:24:25<2:53Uploading...: 48%|███████████████████████████████████████████▉ | 77.1G/162G [2:24:31<2:42Uploading...: 48%|███████████████████████████████████████████▉ | 77.2G/162G [2:24:38<2:41Uploading...: 48%|███████████████████████████████████████████▉ | 77.3G/162G [2:24:46<2:43Uploading...:
