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Davd-b01/thinking-cap-tier-lima-dense
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Connections
- Davd-b01/qwen3.8-flash-next-40b-prune-research Modelused to train
- Qwen/Qwen3.8-Flash-Next Modeltwo steps away
- Davd-b01/thinking-cap-tier-raw-traces Datasettwo steps away
- Training-Free Halving of Activated Experts in Fine-Grained Mixture-of-Experts Models Papertwo steps away
- Half the Experts, All the Code: One-Shot Domain Pruning of Mixture-of-Experts LLMs for Coding Papertwo steps away
- Davd-b01/thinking-cap-tier-curricula-complete Datasettwo steps away
- UMoE:Unlocking Every Expert in Domain-Specific Training Papertwo steps away
- When Load-Balancing Goes Too Far: Expert Pruning in Over-Dispersed Mixture-of-Experts Models Papertwo steps away
- MAPLE: MoE Adaptive Plug-and-play Layer-wise Expert allocation Papertwo steps away
- Is MoE Routing a Huffman Code? Discovering the Frequency-Diversity Law in Chain-of-Thought Papertwo steps away
- Benchmarking Composable Compression Techniques in Mixture-of-Experts LLMs Papertwo steps away
- Rebalancing Token Importance in Language Models with TF-IDF Weighted Cross-Entropy Loss Papertwo steps away
- Davd-b01/lfm2.5-2.6B-thinkingcap-distiller-v2 Modelsame organization
- Davd-b01/XYZ-Aquila-mini-FP8 Modelsame organization
- Davd-b01/BigBang-Aquila-35B-GGUF Modelsame organization
- Davd-b01/LFM2.5-8B-A1B-ThinkingCap-GGUF Modelsame organization
- Davd-b01/lfm2.5-2.6B-thinkingcap-distiller Modelsame organization
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