Knowledge Graph
Silytics Knowledge Graph
See how models, datasets, papers and organizations connect. Every link comes from public metadata: papers named on a model card, datasets and base models named in its tags, and the organization that published it. Click any dot to re-center; the smaller outer ring is two steps away.
On the Design of Qwen3.8-Next Architecture: Evaluation, Efficiency, and Training Stability
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Connections
- sirfyyn/Qwen3.8-Flash-Next-FLE-GGUF Modelcited by
- sirfyyn/Qwen3.8-Flash-Next-FLE-REAP448-GGUF Modelcited by
- How to Score Experts for One-Shot MoE Expert Pruning: A Unified Formulation and Selection Principle Papertwo steps away
- Qwen/Qwen3.8-Flash-Next Modeltwo steps away
- Model Compression with Exact Budget Constraints via Riemannian Manifolds Papertwo steps away
- GSQ: Highly-Accurate Low-Precision Scalar Quantization for LLMs via Gumbel-Softmax Sampling Papertwo steps away
- MoE-SpAc: Efficient MoE Inference Based on Speculative Activation Utility in Heterogeneous Edge Scenarios Papertwo steps away
Relationships are extracted automatically from public metadata and may be incomplete or wrong. Absence of a link does not mean absence of a relationship. Intelligence · Compare models