Support · Qwen

Will it last?

Ownership levelPartialnone·limited·partial·substantial·fullAnalytical input C · 67.6/100

This page is a projection of the one entry record, the Transparency factor that Support covers. The full verdict is set by all four factors together, floor-weighted so the weakest caps the whole.

Which domain expands which factor

AssessUse & modify + Transparency
ImplementData control + Doesn't fail you
UseDoesn't fail you
SupportTransparency

Common problems & fixes

Aggregated pitfalls from the model cards and ecosystem:

OOM on the large variants (235B MoE, 480B-Coder) - quantize or add GPUs.
Chat-template / thinking-mode mismatch - apply the tokenizer's chat template and decide on thinking vs non-thinking mode explicitly.
Checksum drift across hubs - verify Hugging Face and ModelScope weights match and pin the revision.

This is a starting catalogue, not exhaustive.

Versions, changelog & cadence

Qwen ships on a rapid generational cadence (Qwen3 dense, MoE and Coder lines), tracked as immutable revisions on the verified Qwen org across Hugging Face and ModelScope. Pin to a specific revision for reproducibility.

Community & support channels

Support is community-driven: Qwen Hugging Face and ModelScope org discussions, plus a broad presence across serving-stack ecosystems (Ollama, vLLM). There is no enterprise support desk documented for the open weights.

Tracked known issues

From the model-card and third-party caveats: China-aligned topic censorship, lighter safety coverage than frontier labs, and an unclosed EU Article 55 gap on the largest (systemic-risk) variants.

How this scores

The ownership factor this domain covers, drawn from the one entry record.

TransparencyDo you know what it is: weights, training, behaviour, and legible terms?

Weak

You hold the weights but cannot inspect what is in them - training data and code are closed and China-aligned topic censorship is baked into behaviour, so sensitive-topic coverage is distorted in ways you cannot audit. On the hosted path, Alibaba's Model Studio FAQ now grounds a no-training commitment ('never uses your data for model training'), though the formal Model Studio Service Agreement - exact retention, region and opt-out - is still unread.

How this scores (AOI sub-dimensions)

Provenance3/5how well we can trace and verify what went into the modelVerified Qwen org on Hugging Face plus official ModelScope publication, safetensors with checksums, and no canonical-org malicious incident (checklist 5/8).

Governance3/5how accountable and well-documented the publisher isActive, accountable publisher (Alibaba Qwen team) with a rapid release cadence and a verified presence on two hubs, but no documented vulnerability-disclosure or deprecation policy and no Code of Practice signature.

What this means for adoptionYou partly own Qwen: the Apache-licensed mainstream Qwen3 sizes are yours to run, modify and self-host, they perform strongly (especially coding), and self-hosted your data stays on your infrastructure. Two things cap it at partial. First the licence is per-checkpoint - Apache-2.0 on mainstream Qwen3, but the legacy/large Tongyi Qianwen checkpoints (Qwen-72B, Qwen2.5-72B-Instruct) carry a >100M-MAU trigger and 'Built with Qwen' attribution - so verify the LICENSE on the exact checkpoint. Second, transparency: China-aligned censorship is baked in and training is closed; the hosted path now carries a grounded no-training commitment (Model Studio FAQ) alongside the Singapore-storage/SCC-DPF/retention privacy policy, with only the formal Model Studio Service Agreement specifics (exact retention, region, opt-out) still unread. Adopt with hard limits: keep politically sensitive and regulated workloads off it, confirm the per-checkpoint licence, and if you place a systemic-risk-scale variant on the EU market, close the Article 55 gap yourself.

Sources

The same evidence records as the entry sheet. Read means the text was verified; unverified means it is known to exist but not yet read.

Model cardread2026-07-25

Qwen3 checkpoints are hosted on the verified Qwen org on Hugging Face in safetensors with checksums.

Licenceread2026-07-25

Mainstream Qwen3 checkpoints are released under Apache-2.0 with unconditional commercial use and NO monthly-active-user clause - metadata verified across four checkpoints (Qwen3-0.6B, Qwen3-32B, Qwen3-235B-A22B, Qwen3-Coder-480B-A35B-Instruct), each displaying "License: apache-2.0".

Licenceread2026-07-25

Legacy/large Tongyi Qianwen checkpoints (Qwen-72B, Qwen2.5-72B-Instruct) are NOT Apache-2.0 - the Tongyi Qianwen community licence, read verbatim: Sec 4 "If you are commercially using the Materials, and your product or service has more than 100 million monthly active users, you shall request a license from us"; Sec 5.b "Built with Qwen"/"Improved using Qwen" attribution; Sec 5.a export controls (China/US/other).

Technical_reportread2026-07-25

Qwen3 Technical Report (arXiv 2505.09388): documents the Qwen3 family, thinking/non-thinking modes, thinking budget, and multilingual coverage (~119 languages).

Privacy Policyread2026-07-25

General Alibaba Cloud International Website Privacy Policy, read: retention tied to "ongoing legitimate business need" (Sec F); cross-border transfers under SCCs (GDPR Art.

Documentationread2026-07-25

Alibaba Cloud Model Studio FAQ, read verbatim: "Alibaba Cloud strictly protects data privacy and never uses your data for model training." Model Studio "will store data generated from model and application calls"; data is "encrypted with AES-256" in transit.

Terms of serviceunverified2026-07-25

The formal Model Studio / DashScope Service Agreement - its exact retention period, storage region and training opt-out mechanics - was not directly reachable and remains unread.

Model cardunverified2026-07-25

Qwen is also officially published on Alibaba's ModelScope hub (dual distribution).