SourceScore

Verified claim · AI-ML · 100% confidence

Tencent Hunyuan-Large publicly released on: 2024-11-05 by Tencent — 389B-parameter open-weight MoE (52B active).

Last verified 2026-05-16 · Methodology veritas-v0.1 · bffa9a720c420248

Structured fields

Subject
Tencent Hunyuan-Large
Predicate
publicly_released_on
Object
2024-11-05 by Tencent — 389B-parameter open-weight MoE (52B active)
Confidence
100%
Tags
hunyuan-large · tencent · moe · open-weight · released_on · 2024

Sources (2)

  1. [1] preprint · arXiv · 2024-11-05

    Hunyuan-Large: An Open-Source MoE Model with 52 Billion Activated Parameters by Tencent
    We introduce Hunyuan-Large, the largest open-source Transformer-based mixture of experts model with a total of 389B parameters and 52B activated parameters.
  2. [2] model card · Tencent / Hugging Face · 2024-11-05

    Tencent-Hunyuan-Large on Hugging Face

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Tencent Hunyuan-Large publicly released on: 2024-11-05 by Tencent — 389B-parameter open-weight MoE (52B active). — SourceScore Claim bffa9a720c420248 (verified 2026-05-16). https://sourcescore.org/api/v1/claims/bffa9a720c420248.json

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Python

import httpx r = httpx.get("https://sourcescore.org/api/v1/claims/bffa9a720c420248.json") envelope = r.json() print(envelope["claim"]["statement"]) # "Tencent Hunyuan-Large publicly released on: 2024-11-05 by Tencent — 389B-parameter open-weight MoE (52B active)."

LangChain (retrieve-then-cite)

from langchain_core.tools import tool import httpx @tool def get_tencent_hunyuan_large_fact() -> dict: """Fetch the verified SourceScore claim for Tencent Hunyuan-Large.""" r = httpx.get("https://sourcescore.org/api/v1/claims/bffa9a720c420248.json") return r.json()