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

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Evaluación

Dificultad
5/5
Tiempo estimado
Más de una semana
Aptitud para principiantes
35/100
Tipo de issue
Documentación
Claridad
Bastante claro
Estado de actividad
Activo
Stack tecnológico
huggingface, machine-learning
Área
documentation, machine-learning

Línea de trabajo

Lee 0x24-Design-Model-Card-Considerations.md junto con 0x22-Design-Model-Card-Parameters.md y, después, verifica las fuentes citadas de Qwen-7B y Qwen3. Resuelve la elección del modelo del maintainer, actualiza de forma coherente los ejemplos afectados y asegúrate de que bom-ref, los datos del modelo y las afirmaciones sobre la longitud del contexto ya no se contradigan entre sí.

Escrito por el modelo de indexación a partir del texto del issue.

Descripción

t: ML-BOM

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 declares cdx:ai-ml:model:hyperparameter:context_length = "8192" for pkg:huggingface/Qwen/Qwen-7B@ef3c5c9.
  • 0x24:88 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, :87, :90, :181) — 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, :125) — 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, :125) — 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) — 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, :165) — Qwen3Guard (released September 2025) is a guardrail model family built on Qwen3, unrelated to Qwen-7B.
  • "more parallelizable MoE models" comparison (0x24:128) — Qwen-7B is dense with no MoE sibling in its own generation.
  • Typo "Qwen3 &B parameter model" (0x24:112) — 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

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

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