SourceScore

Verified claim · AI-ML · 100% confidence

Hugging Face SmolLM publicly released on: 2024-07-16 by Hugging Face — small-LM family (135M/360M/1.7B) optimized for on-device inference.

Last verified 2026-05-16 · Methodology veritas-v0.1 · de5f8a68ffb4cb9d

Structured fields

Subject
Hugging Face SmolLM
Predicate
publicly_released_on
Object
2024-07-16 by Hugging Face — small-LM family (135M/360M/1.7B) optimized for on-device inference
Confidence
100%
Tags
smollm · hugging-face · small-lm · on-device · open-weight · released_on · 2024

Sources (2)

  1. [1] official blog · Hugging Face · 2024-07-16

    SmolLM - blazingly fast and remarkably powerful
    Today we are releasing SmolLM, a new state-of-the-art family of small models comprising three models with 135M, 360M, and 1.7B parameters, trained on a meticulously-curated high-quality dataset.
  2. [2] model card · Hugging Face · 2024-07-16

    SmolLM-1.7B on Hugging Face

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Hugging Face SmolLM publicly released on: 2024-07-16 by Hugging Face — small-LM family (135M/360M/1.7B) optimized for on-device inference. — SourceScore Claim de5f8a68ffb4cb9d (verified 2026-05-16). https://sourcescore.org/api/v1/claims/de5f8a68ffb4cb9d.json

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Frequently asked questions

Is the claim "Hugging Face SmolLM publicly released on: 2024-07-16 by Hugging Face — small-LM family (135M/360M/1.7B) optimized for on-device inference." verified?

Yes — SourceScore verified this claim with 100% confidence as of 2026-05-16. The verification uses 2 primary sources cross-referenced against the SourceScore methodology (version veritas-v0.1). Full source list + signed JSON envelope linked below.

What is the evidence for "Hugging Face SmolLM publicly released on: 2024-07-16 by Hugging Face — small-LM family (135M/360M/1.7B) optimized for on-device inference."?

Evidence comes from 2 primary sources: Hugging Face, Hugging Face. Each source is listed below with verbatim excerpts and URLs. The signed JSON envelope at https://sourcescore.org/api/v1/claims/de5f8a68ffb4cb9d.json includes an HMAC-SHA256 signature for audit verification.

When was this claim last verified by SourceScore?

Last verified 2026-05-16 under methodology version veritas-v0.1. The signed JSON envelope is dated and cryptographically signed for audit trail. Re-verification cadence depends on the claim type and source freshness.

How can I cite this SourceScore claim in my code or article?

Fetch the signed JSON envelope from https://sourcescore.org/api/v1/claims/de5f8a68ffb4cb9d.json which includes the verbatim claim, primary sources, confidence, methodology version, last-verified date, and HMAC-SHA256 signature for audit. The CC-BY-4.0 license permits commercial use with attribution to SourceScore.

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cURL

curl https://sourcescore.org/api/v1/claims/de5f8a68ffb4cb9d.json

JavaScript / TypeScript

const r = await fetch("https://sourcescore.org/api/v1/claims/de5f8a68ffb4cb9d.json"); const envelope = await r.json(); console.log(envelope.claim.statement); // "Hugging Face SmolLM publicly released on: 2024-07-16 by Hugging Face — small-LM family (135M/360M/1.7B) optimized for on-device inference."

Python

import httpx r = httpx.get("https://sourcescore.org/api/v1/claims/de5f8a68ffb4cb9d.json") envelope = r.json() print(envelope["claim"]["statement"]) # "Hugging Face SmolLM publicly released on: 2024-07-16 by Hugging Face — small-LM family (135M/360M/1.7B) optimized for on-device inference."

LangChain (retrieve-then-cite)

from langchain_core.tools import tool import httpx @tool def get_hugging_face_smollm_fact() -> dict: """Fetch the verified SourceScore claim for Hugging Face SmolLM.""" r = httpx.get("https://sourcescore.org/api/v1/claims/de5f8a68ffb4cb9d.json") return r.json()