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
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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] 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.”
Hugging Face is rated by SourceScore — see its reliability →[2] model card · Hugging Face · 2024-07-16
SmolLM-1.7B on Hugging FaceHugging Face is rated by SourceScore — see its reliability →
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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.jsonEmbed this claim
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Frequently asked questions
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SourceScore records this assertion with 100% legacy editorial confidence as of 2026-05-16, under methodology veritas-v0.1. That metadata is not a truth guarantee. Inspect the 2 cited source record(s), excerpts, and live evidence 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."?
The record lists 2 cited source(s): Hugging Face, Hugging Face. Each is shown below with a short excerpt and URL. The JSON record at https://sourcescore.org/api/v1/claims/de5f8a68ffb4cb9d.json includes SourceScore-issued HMAC integrity metadata, not a public verification proof.
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cURL
curl https://sourcescore.org/api/v1/claims/de5f8a68ffb4cb9d.jsonJavaScript / 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()