> For the complete documentation index, see [llms.txt](https://unsloth.ai/docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://unsloth.ai/docs/jp/ji-chu/troubleshooting-and-faqs/hugging-face-hub-xet-debugging.md).
# Hugging Face Hub、XET のデバッグ
停止したダウンロード、固まったダウンロード、遅いダウンロードのデバッグとトラブルシューティング
#### ダウンロードが90%〜99%で止まる
次の方法でダウンロードしている場合は `hf download unsloth/*` 進行状況が90%または99%でかなり長い間止まる場合は、現在の実行をキャンセルし、以下のコマンドを追加して試してください：
```bash
pip install -U huggingface_hub
HF_HOME=".cache_new/huggingface" \\
HF_XET_CACHE=".cache_new/huggingface/xet" \\
HF_HUB_CACHE=".cache_new/huggingface/hub" \\
HF_XET_HIGH_PERFORMANCE=1 \\
HF_XET_CHUNK_CACHE_SIZE_BYTES=0 \\
HF_XET_RECONSTRUCT_WRITE_SEQUENTIALLY=0 \\
HF_XET_NUM_CONCURRENT_RANGE_GETS=64 \\
hf download unsloth/Qwen3-Coder-Next-GGUF \
--local-dir unsloth/Qwen3-Coder-Next-GGUF \
--include "*UD-Q6_K_XL*"
```
#### レート制限または429 Too Many Requestsですか？
代わりに次を使ってみてください `snapshot_download` その後、正しい Hugging Face 変数を設定してくれる Unsloth をインポートしてください：
```python
import unsloth
import os
os.environ["HF_HOME"] = ".cache_new/huggingface"
os.environ["HF_XET_CACHE"] = ".cache_new/huggingface/xet"
os.environ["HF_HUB_CACHE"] = ".cache_new/huggingface/hub"
from huggingface_hub import snapshot_download
snapshot_download(
repo_id = "unsloth/Qwen3-Coder-Next-GGUF",
local_dir = "unsloth/Qwen3-Coder-Next-GGUF",
allow_patterns = ["*UD-Q6_K_XL*"],
)
```
あるいは、まず次を使って Hugging Face トークンを取得してみてください
```bash
pip install -U huggingface_hub
HF_HOME=".cache_new/huggingface" \\
HF_XET_CACHE=".cache_new/huggingface/xet" \\
HF_HUB_CACHE=".cache_new/huggingface/hub" \\
HF_XET_HIGH_PERFORMANCE=1 \\
HF_XET_CHUNK_CACHE_SIZE_BYTES=0 \\
HF_XET_RECONSTRUCT_WRITE_SEQUENTIALLY=0 \\
HF_XET_NUM_CONCURRENT_RANGE_GETS=64 \\
hf download unsloth/Qwen3-Coder-Next-GGUF \
--local-dir unsloth/Qwen3-Coder-Next-GGUF \
--include "*UD-Q6_K_XL*" \\
--token "hf_ADD_YOUR_HUGGING_FACE_TOKEN_HERE"
```
---
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