IlyasMoutawwakil/tiny-random-Muse-Spark-NVFP4
AI model by IlyasMoutawwakil
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Model card & documentation
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Random testing weights, initialized with seed 0. This model is intended for loading, inference, and serialization tests. The tiny text model has two sparse decoder layers. Layer 0 stays in full precision; layer 1's routed experts use NVFP4 with group size 16. Attention and the language-model head stay in full precision. The producer metadata preserves the original model's exclusion policy, including entries for layers absent from this tiny model. Quantized experts use the supported fused ModelOpt layout: packed…
Read the full model card ↗ · Preview checked 2026-10-27T23:57:48.105Z
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Model overview
IlyasMoutawwakil/tiny-random-Muse-Spark-NVFP4 is a task-unspecified model repository published by IlyasMoutawwakil on Hugging Face. A library was not reported.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- Not reported
- Library
- Not reported
- Recent downloads (30 days)
- 0
- Cumulative likes
- 0
- Hugging Face trending score
- 0
- Reported safetensors parameters
- 521,508
- Architecture
- MuseSparkForConditionalGeneration
- License
- Not reported — check the model card
- Access
- Not gated by Hugging Face
- Created
- 2026-10-16T06:12:22.000Z
- Last modified
- 2026-10-16T06:12:24.000Z
Compatibility and lineage
Language coverage was not reported.
Base-model lineage was not included.
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-10-16T06:42:25.526Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.