Verified claim · AI-ML · 100% confidence
Allen AI OLMo 2 publicly released on: 2024-11-26 by Allen Institute for AI — fully-open 7B + 13B models with full training data, code, recipes.
Last verified 2026-05-16 · Methodology veritas-v0.1 · bd9e6a7e9395cdc0
SourceScore rates how reliable a source is to cite — for AI answers and research. This is one verified claim from the catalog.
Related verified claims
More verified claims related to this one — keep exploring.
Allen AI Molmo publicly released on: 2024-09-25 by Allen Institute for AI — fully-open multimodal VLM family (1B/7B/72B), Apache 2.0.
100% confidence · shares 4 tags (allen-ai, fully-open, released_on…)
OLMo released on: 2024-02-01 by Allen Institute for AI.
100% confidence · shares 3 tags (fully-open, 2024, released_on)
NVIDIA Nemotron-4 340B publicly released on: 2024-06-14 by NVIDIA — 340B-parameter open-weight model optimized for synthetic data generation.
100% confidence · shares 3 tags (open-weight, released_on, 2024)
Cohere Aya 23 publicly released on: 2024-05-22 by Cohere For AI — multilingual model covering 23 languages.
100% confidence · shares 3 tags (open-weight, released_on, 2024)
Google Gemma 2 publicly released on: 2024-06-27 by Google DeepMind — Gemma 2 family (9B + 27B), Gemma terms.
100% confidence · shares 3 tags (open-weight, released_on, 2024)
DeepSeek-V3 publicly released on: 2024-12-26 by DeepSeek AI — 671B-parameter MoE (37B active), open weights.
100% confidence · shares 3 tags (open-weight, released_on, 2024)
Mistral Nemo publicly released on: 2024-07-18 by Mistral AI + NVIDIA — 12B model with 128k context, Apache 2.0.
100% confidence · shares 3 tags (open-weight, released_on, 2024)
Hugging Face SmolLM publicly released on: 2024-07-16 by Hugging Face — small-LM family (135M/360M/1.7B) optimized for on-device inference.
100% confidence · shares 3 tags (open-weight, released_on, 2024)
Structured fields
- Subject
- Allen AI OLMo 2
- Predicate
publicly_released_on- Object
- 2024-11-26 by Allen Institute for AI — fully-open 7B + 13B models with full training data, code, recipes
- Confidence
- 100%
- Tags
- olmo-2 · allen-ai · fully-open · open-weight · released_on · 2024
Sources (2)
[1] official blog · Allen Institute for AI · 2024-11-26
OLMo 2: The next generation of fully open language models“OLMo 2 is a family of fully-open language models with all training data, code, intermediate checkpoints, and recipes openly released.”
[2] model card · Allen Institute for AI / Hugging Face · 2024-11-26
OLMo-2-1124-7B on Hugging Face
Cite this claim
Ready-to-paste citation (Markdown / plain text):
Allen AI OLMo 2 publicly released on: 2024-11-26 by Allen Institute for AI — fully-open 7B + 13B models with full training data, code, recipes. — SourceScore Claim bd9e6a7e9395cdc0 (verified 2026-05-16). https://sourcescore.org/api/v1/claims/bd9e6a7e9395cdc0.jsonEmbed this claim
Drop this iframe into any blog post, docs page, or knowledge base. The widget renders the claim record + top cited source + click-through to this canonical page. CC-BY 4.0; attribution included.
<iframe src="https://sourcescore.org/embed/claim/bd9e6a7e9395cdc0/" width="100%" height="360" frameborder="0" loading="lazy" title="Allen AI OLMo 2 publicly released on: 2024-11-26 by Allen Institute for AI — fully-open 7B + 13B models with full training data, code, recipes."></iframe>Preview: open in new tab
Frequently asked questions
How has SourceScore reviewed the claim "Allen AI OLMo 2 publicly released on: 2024-11-26 by Allen Institute for AI — fully-open 7B + 13B models with full training data, code, recipes."?
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 "Allen AI OLMo 2 publicly released on: 2024-11-26 by Allen Institute for AI — fully-open 7B + 13B models with full training data, code, recipes."?
The record lists 2 cited source(s): Allen Institute for AI, Allen Institute for AI / Hugging Face. Each is shown below with a short excerpt and URL. The JSON record at https://sourcescore.org/api/v1/claims/bd9e6a7e9395cdc0.json includes SourceScore-issued HMAC integrity metadata, not a public verification proof.
When was this claim record last reviewed by SourceScore?
Last reviewed 2026-05-16 under methodology version veritas-v0.1. The dated JSON record includes SourceScore-issued HMAC metadata, which is not publicly recomputable. Refetch the record and inspect current evidence before relying on it.
How can I cite this SourceScore claim in my code or article?
Fetch the JSON record from https://sourcescore.org/api/v1/claims/bd9e6a7e9395cdc0.json, including the verbatim claim, cited evidence, confidence, methodology version, and last-verified date. Refetch the canonical HTTPS record and inspect cited evidence; the HMAC tag is not publicly independently verifiable. The CC-BY-4.0 license permits commercial use with attribution to SourceScore.
Use this claim in your code
Fetch this record from your application. The response includes verbatim excerpts, primary-source URLs, and SourceScore-issued HMAC integrity metadata. Refetch the canonical HTTPS record and inspect cited evidence; public users cannot independently verify the HMAC tag.
cURL
curl https://sourcescore.org/api/v1/claims/bd9e6a7e9395cdc0.jsonJavaScript / TypeScript
const r = await fetch("https://sourcescore.org/api/v1/claims/bd9e6a7e9395cdc0.json");
const envelope = await r.json();
console.log(envelope.claim.statement);
// "Allen AI OLMo 2 publicly released on: 2024-11-26 by Allen Institute for AI — fully-open 7B + 13B models with full training data, code, recipes."Python
import httpx
r = httpx.get("https://sourcescore.org/api/v1/claims/bd9e6a7e9395cdc0.json")
envelope = r.json()
print(envelope["claim"]["statement"])
# "Allen AI OLMo 2 publicly released on: 2024-11-26 by Allen Institute for AI — fully-open 7B + 13B models with full training data, code, recipes."LangChain (retrieve-then-cite)
from langchain_core.tools import tool
import httpx
@tool
def get_allen_ai_olmo_2_fact() -> dict:
"""Fetch the verified SourceScore claim for Allen AI OLMo 2."""
r = httpx.get("https://sourcescore.org/api/v1/claims/bd9e6a7e9395cdc0.json")
return r.json()