> 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/fr/notions-de-base/troubleshooting-and-faqs/hugging-face-hub-xet-debugging.md).

# Débogage de Hugging Face Hub et XET

Débogage, résolution des téléchargements bloqués, figés et lents

#### Les téléchargements restent bloqués entre 90 % et 99 %

<figure><img src="https://550366147-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FxhOjnexMCB3dmuQFQ2Zq%2Fuploads%2FAupnur7cpMvilAleA1Gp%2Fimage.png?alt=media&amp;token=146a3d2e-6c2c-438e-9bf7-6265bc6d6cb4" alt=""><figcaption></figcaption></figure>

Si vous voyez des téléchargements via `hf download unsloth/*` restent bloqués à 90 % ou 99 % de progression pendant un certain temps, annulez l'exécution en cours et essayez d'ajouter les commandes ci-dessous :

```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*"
```

#### Limité par le débit ou erreur 429 Trop de requêtes ?

Essayez d'utiliser `snapshot_download` à la place, puis importez Unsloth, qui définira pour vous les variables Hugging Face correctes :

```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*"],
)
```

Ou peut-être essayez d’abord d’obtenir un jeton Hugging Face via <https://huggingface.co/settings/tokens>

```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"
```


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation by asking a question.

Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters:

```
GET https://unsloth.ai/docs/fr/notions-de-base/troubleshooting-and-faqs/hugging-face-hub-xet-debugging.md?ask=<question>&goal=<user_goal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
