SourceScore

Verified claim · AI-ML · 100% confidence

llama.cpp publicly released on: 2023-03-10 by Georgi Gerganov.

Last verified 2026-05-16 · Methodology veritas-v0.1 · 2c6ddc094019890c

SourceScore rates how reliable a source is to cite — for AI answers and research. This is one verified claim from the catalog.

Structured fields

Subject
llama.cpp
Predicate
publicly_released_on
Object
2023-03-10 by Georgi Gerganov
Confidence
100%
Tags
llama-cpp · ggerganov · inference · open-source · cpp · released_on · 2023

Sources (2)

  1. [1] github release · Georgi Gerganov / open-source community · 2023-03-10

    llama.cpp — Inference of Meta's LLaMA model in pure C/C++
    Inference of Meta's LLaMA model (and others) in pure C/C++. The main goal of llama.cpp is to enable LLM inference with minimal setup and state-of-the-art performance on a wide range of hardware - locally and in the cloud.
  2. [2] docs · Wikipedia · 2023-03-10

    llama.cppWikipedia is rated by SourceScore — see its reliability →

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llama.cpp publicly released on: 2023-03-10 by Georgi Gerganov. — SourceScore Claim 2c6ddc094019890c (verified 2026-05-16). https://sourcescore.org/api/v1/claims/2c6ddc094019890c.json

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Frequently asked questions

Is the claim "llama.cpp publicly released on: 2023-03-10 by Georgi Gerganov." 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 "llama.cpp publicly released on: 2023-03-10 by Georgi Gerganov."?

Evidence comes from 2 primary sources: Georgi Gerganov / open-source community, Wikipedia. Each source is listed below with verbatim excerpts and URLs. The signed JSON envelope at https://sourcescore.org/api/v1/claims/2c6ddc094019890c.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?

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cURL

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JavaScript / TypeScript

const r = await fetch("https://sourcescore.org/api/v1/claims/2c6ddc094019890c.json"); const envelope = await r.json(); console.log(envelope.claim.statement); // "llama.cpp publicly released on: 2023-03-10 by Georgi Gerganov."

Python

import httpx r = httpx.get("https://sourcescore.org/api/v1/claims/2c6ddc094019890c.json") envelope = r.json() print(envelope["claim"]["statement"]) # "llama.cpp publicly released on: 2023-03-10 by Georgi Gerganov."

LangChain (retrieve-then-cite)

from langchain_core.tools import tool import httpx @tool def get_llama_cpp_fact() -> dict: """Fetch the verified SourceScore claim for llama.cpp.""" r = httpx.get("https://sourcescore.org/api/v1/claims/2c6ddc094019890c.json") return r.json()
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