Claim · 2025-05-21 · publication · Stated in source · Supported

Tencent's Hunyuan Team posted the Hunyuan-TurboS technical report to arXiv on 21 May 2025 (version 1), describing a hybrid Transformer-Mamba mixture-of-experts model with 56 billion activated and 560 billion total parameters.

One recorded claim. The claim panel gives its qualification, the source passages with their place in each source, and how it was checked.

What it connects

Tencent / 腾讯 → published → Hunyuan-TurboS: Advancing Large Language Models through Mamba-Transformer Synergy and Adaptive Chain-of-Thought

Where it appears

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Claim and evidence

Tencent / 腾讯published ↓Hunyuan-TurboS: Advancing Large Language Models through Mamba-Transformer Synergy and Adaptive Chain-of-Thought

Machine-checked, not reviewed by an editorStated in sourceSupported

Supporting evidence: primary · 1 source

Date: 2025-05-21 · publication Records dated 2025 →

Scope and limitsParameter counts are the report's own description; the report does not establish that weights were released. Performance claims are not recorded.

The evidence 02

primary sourceSupports the claim

Hunyuan-TurboS: Advancing Large Language Models through Mamba-Transformer Synergy and Adaptive Chain-of-Thought

arXiv · 2025-05-21

Cite the original source

Cite the original document, not Selekoa. Check these details against it.

Source excerpt

“Tencent Hunyuan Team”

Location in source Title page

How it was read Retrieved directly from the publisher

Machine-checked · 2026-10-31

Source details and check notes

Authors: Tencent Hunyuan Team
Version: Dated document, retrieved on 2026-10-29 (SHA-256 4c9afd472214bfccb1b9b35978f157fba79ebfde949d076256316659599329ca) directly from the publisher. Version: 2505.15431v1. Version 1 as submitted on 21 May 2025 (the title page prints 2025-05-23); versions 2 and 3 not inspected.
Canonical address: Open the canonical source ↗
Accessed: 2026-10-29
Language: English (en)
Attribution: Tencent Hunyuan Team, “Hunyuan-TurboS: Advancing Large Language Models through Mamba-Transformer Synergy and Adaptive Chain-of-Thought”, 2025-05-21.
Reuse: No open redistribution licence asserted. Bibliographic metadata, editorial paraphrases and short attributed quotations (at most 50 words each). Recheck terms before wider redistribution.
Check notes: Candidate pack passage, Chinese frontier-AI institutions, third collection (research/china-labs-3). The quotation (3 words) matched the text retrieved for the candidate pack on 2026-10-29 and again in a fresh retrieval the same day, read directly from the publisher. Matching ignored differences of whitespace, case, quotation marks, dashes and Unicode compatibility forms, so the source’s typography can differ. No human editorial review.

primary sourceSupports the claim

Hunyuan-TurboS: Advancing Large Language Models through Mamba-Transformer Synergy and Adaptive Chain-of-Thought

arXiv · 2025-05-21

Cite the original source

Cite the original document, not Selekoa. Check these details against it.

Source excerpt

“this 56B activated (560B total) parameter model”

Location in source Abstract

How it was read Retrieved directly from the publisher

Machine-checked · 2026-10-31

Source details and check notes

Authors: Tencent Hunyuan Team
Version: Dated document, retrieved on 2026-10-29 (SHA-256 4c9afd472214bfccb1b9b35978f157fba79ebfde949d076256316659599329ca) directly from the publisher. Version: 2505.15431v1. Version 1 as submitted on 21 May 2025 (the title page prints 2025-05-23); versions 2 and 3 not inspected.
Canonical address: Open the canonical source ↗
Accessed: 2026-10-29
Language: English (en)
Attribution: Tencent Hunyuan Team, “Hunyuan-TurboS: Advancing Large Language Models through Mamba-Transformer Synergy and Adaptive Chain-of-Thought”, 2025-05-21.
Reuse: No open redistribution licence asserted. Bibliographic metadata, editorial paraphrases and short attributed quotations (at most 50 words each). Recheck terms before wider redistribution.
Check notes: Candidate pack passage, Chinese frontier-AI institutions, third collection (research/china-labs-3). The quotation (7 words) matched the text retrieved for the candidate pack on 2026-10-29 and again in a fresh retrieval the same day, read directly from the publisher. Matching ignored differences of whitespace, case, quotation marks, dashes and Unicode compatibility forms, so the source’s typography can differ. No human editorial review.

Status and meaning

Editorial status. Not reviewed by an editor. An exploratory record that no editor has accepted. This status does not say whether a person has read any linked passage. Each evidence record above shows how it was checked.

Relation. Publication of a specific document or version. Publication of a policy is not evidence of implementation.

Date. Submission date of arXiv version 1; the title page prints 2025-05-23. Not the date of any model release.

Record ID c3-tencent-hunyuan-turbos-report