is an open-source project built for AI developers.

What platforms does run on?

runs on the web. It can also be self-hosted.

Unverified. has not been re-checked since it entered the index, so there is no finding either way — and only a positive finding would say otherwise.

· PulseGate

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huggingface.coOther AI

The Smol Training Playbook is an interactive Hugging Face Space that presents a practical guide to training small but high-performing language models. It requires no file uploads and provides explanations, code examples, and best practices directly in the browser. It is aimed at developers and researchers looking to build efficient LLMs.

FreeWebSelf-hosted

Visit huggingface.co

Overview

3 features

is an Other AI project. It focuses on learning how to efficiently train compact yet capable language models from scratch. is an open-source project aimed at AI developers. is free to use. It ships for the web, and it can be self-hosted.

Behind is Hugging Face, and it first shipped in 2025. Key capabilities include Interactive Guide, Model Training, and documentation.

Summary written by a language model from the project’s public pages.

Interactive Guide
Model Training
Documentation

Built with & integrations

Hosting

AWS

AI providers

local_oss

Runs on

BrowserSelf-hosted

Detected from

AWS: x-amz-cf-id header · x-amz-cf-pop header · via header
local_oss: huggingface in the HTML

Trust & compliance

Verified signals

HTTPSFree tier

Indexing history

What PulseGate has recorded for this listing

Indexed24 Jul · 03:15 UTC
HuggingFaceTB/smol-training-playbook verified against its public source
Source: PulseGate · Open

Frequently asked questions about

What is ?: Focuses on learning how to efficiently train compact yet capable language models from scratch. It is catalogued under Other AI on PulseGate.
Who is for?: is an open-source project built for AI developers.
Does have a free plan?: Yes — is free to use.
What platforms does run on?: runs on the web. It can also be self-hosted.
Is still active?: Unverified. has not been re-checked since it entered the index, so there is no finding either way — and only a positive finding would say otherwise.
Who develops ?: is developed by Hugging Face.
When did launch?: first shipped in 2025.

At a glance

Platforms: Web
Languages: English
Built for: AI developers
Model: Open source
Solves: Learning how to efficiently train compact yet capable language models from scratch.

Registered as

Hugging Face Spaces: HuggingFaceTB/smol-training-playbook

Developer

Hugging Face

Live coverage

Identity confidence: High · 86
Indexed: 24 Jul 2026
Lifecycle: Alive
Last seen: 24 Jul 2026

Identity audit (13)

Slug: huggingfacetb-smol-training-playbook-huggingface-co
Lifecycle state recorded: 24 Jul 2026
Verification state: Indexed for public listing
Listing state: Listed: yes
Index status: Included in index
Latest evidence snapshot: 24 Jul 2026
Timeline basis: Indexed-at chronology. This listing's first-seen date was written by the catalog backfill, not observed here, so it is not treated as a sighting.
Name from: Derived from the project's own page and URL.
Category from: Assigned by a language model.
Summary from: Written by a language model from public pages.
Languages from: Detected by a language model from page content.
Last updated: 31 Jul 2026
Canonical URL: https://huggingface.co/spaces/HuggingFaceTB/smol-training-playbook

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