Adds a configurable Hugging Face model download cache location to Unsloth Studio, selectable from Settings, with per-cache download manifests, scoped deletion, and read-only inventory of previously selected caches.
* Studio Hub: default downloads to Xet transport
Model and dataset downloads defaulted to HTTP; flip the default to Xet for faster parallel chunked transfers.
- Frontend: DEFAULT_TRANSPORT_MODE is now Xet, so a user with no saved preference starts on Xet. effectiveTransportMode() already downgrades to HTTP and warns when hf_xet is unavailable, so this degrades gracefully.
- Backend: DownloadModelRequest.use_xet and DownloadDatasetRequest.use_xet default to True, keeping the API in step with the UI. Set use_xet=False for sequential HTTP Range-resume.
- Align the internal _spawn_download_worker default so no caller silently falls back to HTTP.
Inference and training model loads were already Xet-first with an HTTP stall fallback, so this brings explicit downloads in line with the rest of Studio.
* Studio Hub: gracefully fall back to HTTP when Xet is unavailable
With Xet now the default, an omitted or explicit use_xet=True from a non-UI API caller would 400 on installs without hf_xet, since resolve_transport raises when the transport is unavailable.
Add resolve_effective_use_xet(), which downgrades a Xet request to HTTP (with a warning) when hf_xet is missing, mirroring the frontend's own downgrade. Both the model and dataset flows now derive a single effective use_xet and feed it to resolve_transport and spawn_worker, so the recorded transport and the worker env can never disagree. The UI is unaffected: it already resolves availability and passes use_xet explicitly.
* Add tests for resolve_effective_use_xet Xet to HTTP fallback
* Trim comments for PR #6433
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Co-authored-by: Daniel Han <danielhanchen@gmail.com>
* Studio: training survives a non-writable HF datasets cache
A shared HF datasets cache can contain subtrees owned by another user
(for example populated by an earlier root-run job). datasets then dies
with "[Errno 13] Permission denied: ..._builder.lock" while locking
the cached builder and the training run fails. load_dataset in the
training worker and trainer now goes through a wrapper that catches the
EACCES and rebuilds the dataset in a Studio-owned cache under
cache_root()/hf-datasets, logging the fallback.
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* Scope the HF_DATASETS_CACHE override to the fallback load
* Route non-streaming dataset preview loads through the cache-safe wrapper
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Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Adds the Studio Hub and download manager: browse Hugging Face models and datasets, download GGUF and safetensors with live progress and cancellation, and manage on-device inventory. The Hub does not require a GPU, so it is available on chat-only hosts.
CI: all substantive checks pass, including the three Core jobs after unsloth-zoo#736. The two red checks are non-code flakes, a transient npm-registry DNS resolution failure in the package scan and one quantized vision-model output assertion whose sibling shards passed.
