404Dev: CodeBase-280B Performance Boosts
Join CommunitySummary
The 404Development | Software Hub announced significant performance boosts for their CodeBase-280B model, achieved through techniques like sparse activation, quantized caches, and parallel attention pathways that maximize GPU efficiency and reduce memory needs. This update is crucial as it makes the large model more accessible and faster to run. Future plans include further optimizations like FlashAttention and advanced quantization methods to continue improving performance.
⚡ Performance & Efficiency
- Only a fraction of the model’s parameters are active at a time for each token
- Parallel attention and MoE pathways maximize GPU usage
- Sparse activation + quantized caches drastically reduces memory requirements
🔮 Future Plans
- Faster attention with FlashAttention
- Expert parallelism across devices
- Advanced quantization methods (GPTQ, AWQ)
- Pipeline parallelism and gradient checkpointing for huge-scale models
We’re thrilled to see what the community can do with CodeBase-280B and can’t wait to continue development in the coming months.
- Conner | 404Development
