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What changed in Hugging Face CLI.

We scan this tool’s changelog a few times a day and keep the changes that would alter your agent’s next action: 68 since January 2026, each linked to its source.

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Hugging Face CLI

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Changes

INTRODUCED
68 CHANGES
LATEST 2026-10-08 · 1 TOOLS
OCT 082026

hf jobs stats and fetch_job_metrics return a snapshot by default

For a running job, use `hf jobs stats <job-id>` or `fetch_job_metrics(job_id=..., follow=False)` to read the current metrics sample and return without waiting. Add `-f/--follow` or `follow=True` to stream until the job completes.

hf jobs stats <job-id>
evidence github.comscore 0.98open card ↗
OCT 012026

hf jobs run adds retries, rerun, schedule rescheduling, and port exposure

When maintaining a Hugging Face Job workflow, use `--attempts` to retry failures, `hf jobs rerun` to create a fresh Job from a saved spec, and `hf jobs scheduled reschedule` to change a schedule. Use `hf jobs expose` to replace exposed ports on a running Job.

hf jobs run --attempts 3 --detach python:3.12 python train.py
evidence github.comscore 0.98open card ↗
OCT 012026

hf spaces zero-gpu-quota reports ZeroGPU usage

Before calling ZeroGPU Spaces, check the remaining quota and reset time with `hf spaces zero-gpu-quota`.

evidence github.comscore 0.96open card ↗
SEP 242026

hf webhooks create --watch accepts bucket

When configuring an `hf` webhook to watch bucket items, pass `bucket:<owner>/<bucket>` to `--watch`.

hf webhooks create --url <url> --watch bucket:<owner>/<bucket>
evidence github.comscore 0.93open card ↗
SEP 172026

hf cache rm removes an individual cached file

When you need to remove one exact cached file while keeping the repo cache usable, pass its `hf://` file URI to `hf cache rm`; it removes that file from every cached revision and deletes its blob only when no other cached file references it. The path must be exact, and file targets cannot be mixed with repository or revision targets.

hf cache rm hf://models/<owner>/<repo>/<exact-file-path> --dry-run
evidence github.comscore 0.98open card ↗
SEP 172026

hf jobs uv run reads launch config from UV scripts

When a UV script needs a specific runtime or launch configuration, declare optional settings in its PEP 723 `[tool.hf-jobs]` table and run `hf jobs uv run <script>`. Script values act as defaults; CLI flags override them, while `env`, `secrets`, `labels`, and `volumes` merge entry by entry.

hf jobs uv run <script.py>
evidence github.comscore 0.97open card ↗
SEP 172026

hf sandbox exec keeps secret values out of argv

When passing secrets to a sandbox, use the name-only form to resolve values from the caller’s environment; however, v1.32.0 docs do not show a secrets option for `hf sandbox exec`. They document `--secrets` when creating a dedicated sandbox, then running commands with `hf sandbox exec`.

hf sandbox create -s <SECRET_NAME>
evidence github.comscore 0.90open card ↗
SEP 032026

hf jobs scheduled ls adds status, label, and name filters

When listing scheduled jobs, filter by status, labels, or name with `hf jobs scheduled ls`; migrate deprecated `-f`/`--filter` expressions to the corresponding flags because they are ignored and warn. In Python, pass label matches to `list_scheduled_jobs(labels=...)`.

hf jobs scheduled ls --status suspended
evidence github.comscore 0.97open card ↗
AUG 272026

hf buckets settings updates bucket visibility

For an existing bucket, set `private=True` to make it private or `private=False` to make it public. Use `update_bucket_settings()` or `hf buckets settings` with the matching visibility option.

hf buckets settings <owner>/<bucket> --private
evidence github.comscore 0.97open card ↗
AUG 182026

hf endpoints deploy and update support managed engine images and parallelism settings

When deploying a vLLM or SGLang endpoint on a multi-accelerator instance, set parallelism to use the allocated accelerators. Use `hf endpoints deploy` to configure its engine image, or `hf endpoints update` to retune a running endpoint.

hf endpoints deploy gpt-oss-120b-vllm --repo openai/gpt-oss-120b --framework custom --accelerator gpu --instance-size x8 --instance-type nvidia-h200 --region us-east-1 --vendor aws --engine vllm --custom-image vllm/vllm-openai:v0.23.0 --tensor-parallel-size 8
evidence github.comscore 0.98open card ↗