ML-BOM guide: Qwen-7B example in 0x24 (Considerations) mixes in Qwen3-specific facts and contradicts 0x22

## Summary
The guide's running example model is **Qwen-7B** (Alibaba, released 2023-08-03, `bom-ref: pkg:huggingface/Qwen/Qwen-7B@ef3c5c9`, used throughout the guide starting in `0x20-Design-Model-Component-Metadata.md`). The `considerations` example content in `0x24-Design-Model-Card-Considerations.md` attributes several **Qwen3**-specific (2025) facts, features, and terminology to this Qwen-7B example — producing both external factual errors and an internal self-contradiction against the guide's own hyperparameter example in `0x22`.

## Internal contradiction (within the guide itself)
- [0x22:385-386](https://github.com/CycloneDX/guides/blob/main/ML-BOM/en/0x22-Design-Model-Card-Parameters.md#L385-L386) declares `cdx:ai-ml:model:hyperparameter:context_length` = `"8192"` for `pkg:huggingface/Qwen/Qwen-7B@ef3c5c9`.
- [0x24:88](https://github.com/CycloneDX/guides/blob/main/ML-BOM/en/0x24-Design-Model-Card-Considerations.md#L88) says, for the *same* `bom-ref`: "the model supports up to 131,072 tokens using YaRN scaling, its native pre-training context is limited to 32,768 tokens."

Two different context-length claims for the same declared component, within the same guide.

## Facts that belong to Qwen3, not Qwen-7B

- **"Thinking Mode"** ([0x24:46](https://github.com/CycloneDX/guides/blob/main/ML-BOM/en/0x24-Design-Model-Card-Considerations.md#L46), [:87](https://github.com/CycloneDX/guides/blob/main/ML-BOM/en/0x24-Design-Model-Card-Considerations.md#L87), [:90](https://github.com/CycloneDX/guides/blob/main/ML-BOM/en/0x24-Design-Model-Card-Considerations.md#L90), [:181](https://github.com/CycloneDX/guides/blob/main/ML-BOM/en/0x24-Design-Model-Card-Considerations.md#L181)) — the thinking/non-thinking mode toggle was introduced with Qwen3; it doesn't exist in Qwen-7B (2023).
- **YaRN scaling to 131,072 / native 32,768 context** ([0x24:88](https://github.com/CycloneDX/guides/blob/main/ML-BOM/en/0x24-Design-Model-Card-Considerations.md#L88), [:125](https://github.com/CycloneDX/guides/blob/main/ML-BOM/en/0x24-Design-Model-Card-Considerations.md#L125)) — this is Qwen3's documented spec (see Qwen3 Technical Report). Qwen-7B's real context length is 8,192, per its own published `config.json`.
- **"32B or 235B models" and "Qwen-8B" as sibling models** ([0x24:123](https://github.com/CycloneDX/guides/blob/main/ML-BOM/en/0x24-Design-Model-Card-Considerations.md#L123), [:125](https://github.com/CycloneDX/guides/blob/main/ML-BOM/en/0x24-Design-Model-Card-Considerations.md#L125)) — these are Qwen3 sizes (dense up to 32B, MoE 30B-A3B/235B-A22B). The original Qwen (Qwen1) lineup was 1.8B/7B/14B/72B — no 32B, no 235B, no "Qwen-8B".
- **"trained on 36 trillion tokens across 119 languages," attributed to "Qwen-7B" by name** ([0x24:160](https://github.com/CycloneDX/guides/blob/main/ML-BOM/en/0x24-Design-Model-Card-Considerations.md#L160)) — this is Qwen3's documented pretraining corpus size/language coverage. Qwen-7B (2023) was trained on ~2.4 trillion tokens.
- **"Qwen3Guard" cited as the safety reference for the Qwen-7B example** ([0x24:148](https://github.com/CycloneDX/guides/blob/main/ML-BOM/en/0x24-Design-Model-Card-Considerations.md#L148), [:165](https://github.com/CycloneDX/guides/blob/main/ML-BOM/en/0x24-Design-Model-Card-Considerations.md#L165)) — Qwen3Guard (released September 2025) is a guardrail model family built on Qwen3, unrelated to Qwen-7B.
- **"more parallelizable MoE models" comparison** ([0x24:128](https://github.com/CycloneDX/guides/blob/main/ML-BOM/en/0x24-Design-Model-Card-Considerations.md#L128)) — Qwen-7B is dense with no MoE sibling in its own generation.
- **Typo "Qwen3 &B parameter model"** ([0x24:112](https://github.com/CycloneDX/guides/blob/main/ML-BOM/en/0x24-Design-Model-Card-Considerations.md#L112)) — literally names "Qwen3" instead of "Qwen-7B." Note Qwen3's dense lineup is 0.6B/1.7B/4B/8B/14B/32B — there is no Qwen3-7B, so this can't even be "corrected" to match a real Qwen3 size.

## Why it matters
This is the guide's primary worked example for `modelCard.considerations`. A reader relying on it as a reference, or cross-checking it against the real Qwen-7B model card, will find internally inconsistent and externally incorrect data — undermining the guide's own point about ML-BOMs enabling reproducibility and verifiable claims (see `0x10-Introduction.md`, "Reproducibility & Explainability").

## Suggested fix — needs a maintainer call, hence an issue rather than a PR
Either:
- **(a)** Rebase the whole `considerations` example (and the `context_length` hyperparameter in `0x22`) on **Qwen3-8B**, since most of the existing prose already matches that model, or
- **(b)** Rewrite the `considerations` content to reflect the real, historical **Qwen-7B (2023)** — dropping Thinking Mode / YaRN / Qwen3Guard / MoE references.

## Verification sources
- https://huggingface.co/Qwen/Qwen-7B/blob/main/config.json
- https://github.com/QwenLM/Qwen/blob/main/README.md
- https://arxiv.org/pdf/2505.09388 (Qwen3 Technical Report)
- https://huggingface.co/Qwen/Qwen3-8B
- https://qwenlm.github.io/blog/qwen3/
- https://github.com/QwenLM/Qwen3Guard

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This issue was drafted with assistance from **Claude Sonnet 5** (model id: `claude-sonnet-5`), which identified and fact-checked the inconsistency described above.