Codestral Mamba — state-space architecture

End-of-lesson check

15 questions · take it digitally for instant feedback at tendril.neural-forge.io/learn/quiz/end-modelx-codestral-mamba-builders

1. What is the core idea behind "Codestral Mamba — state-space architecture"?

   1. Codestral Mamba ditches transformers for a state-space model. The result: linear-time long-context coding at a fraction of the attention cost.
   2. Bilingual code explanation (Chinese + English)
   3. bilingual
   4. Generate a hero shot of the character. Pick the best.

2. Which term best describes a foundational idea in "Codestral Mamba — state-space architecture"?

   1. attention complexity
   2. state-space model
   3. linear scaling
   4. Bilingual code explanation (Chinese + English)

3. A learner studying Codestral Mamba — state-space architecture would need to understand which concept?

   1. state-space model
   2. linear scaling
   3. attention complexity
   4. Bilingual code explanation (Chinese + English)

4. Which of these is directly relevant to Codestral Mamba — state-space architecture?

   1. state-space model
   2. attention complexity
   3. Bilingual code explanation (Chinese + English)
   4. linear scaling

5. Which of the following is a key point about Codestral Mamba — state-space architecture?

   1. Best fit: whole-repo code search and Q&A
   2. Strong for tasks where latency matters at 100k+ tokens
   3. Open weights available for self-hosting
   4. Architecture still evolving — quality not quite at Codestral 25 on short-context tasks

6. Which of these does NOT belong in a discussion of Codestral Mamba — state-space architecture?

   1. Strong for tasks where latency matters at 100k+ tokens
   2. Open weights available for self-hosting
   3. Bilingual code explanation (Chinese + English)
   4. Best fit: whole-repo code search and Q&A

7. What is the key insight about "Why care about architecture" in the context of Codestral Mamba — state-space architecture?

   1. Bilingual code explanation (Chinese + English)
   2. bilingual
   3. If you are building tooling that depends on long context, state-space models may be where costs bottom out.
   4. Generate a hero shot of the character. Pick the best.

8. What is the key insight about "Review date" in the context of Codestral Mamba — state-space architecture?

   1. Bilingual code explanation (Chinese + English)
   2. bilingual
   3. Generate a hero shot of the character. Pick the best.
   4. Reviewed in 2026. Treat fast-changing product names, prices, availability, and policy details as examples to verify befo…

9. Which statement accurately describes an aspect of Codestral Mamba — state-space architecture?

   1. Codestral Mamba uses a state-space architecture instead of attention. That means inference cost grows linearly with context length instead o…
   2. Bilingual code explanation (Chinese + English)
   3. bilingual
   4. Generate a hero shot of the character. Pick the best.

10. What does working with Codestral Mamba — state-space architecture typically involve?

    1. Bilingual code explanation (Chinese + English)
    2. Expect future models to mix attention for short-range precision with state-space layers for long-range cheap memory.
    3. bilingual
    4. Generate a hero shot of the character. Pick the best.

11. Which best describes the scope of "Codestral Mamba — state-space architecture"?

    1. It is unrelated to model-families workflows
    2. It applies only to the opposite beginner tier
    3. It focuses on Codestral Mamba ditches transformers for a state-space model. The result: linear-time long-context c
    4. It was deprecated in 2024 and no longer relevant

12. Which section heading best belongs in a lesson about Codestral Mamba — state-space architecture?

    1. Bilingual code explanation (Chinese + English)
    2. bilingual
    3. Generate a hero shot of the character. Pick the best.
    4. Hybrid architectures are likely next

13. Which of the following is a concept covered in Codestral Mamba — state-space architecture?

    1. state-space model
    2. attention complexity
    3. linear scaling
    4. Bilingual code explanation (Chinese + English)

14. Which of the following is a concept covered in Codestral Mamba — state-space architecture?

    1. state-space model
    2. attention complexity
    3. linear scaling
    4. Bilingual code explanation (Chinese + English)

15. Which of the following is a concept covered in Codestral Mamba — state-space architecture?

    1. state-space model
    2. attention complexity
    3. linear scaling
    4. Bilingual code explanation (Chinese + English)