TurboSparse Limitations: The Impact of 150B Token Recovery Training
5 Mar 2026
While achieving 90% sparsity, TurboSparse models currently utilize 1% of the training tokens used by Llama, with further training expected.
TurboSparse: Faster LLMs via dReLU Activation
5 Mar 2026
Boost LLM speeds by 2–5x with TurboSparse. Use dReLU to reach 90% sparsity in Mistral and Mixtral models without losing performance.
dReLU Sparsification: High-Performance 90% Sparsity for Next-Gen LLMs
4 Mar 2026
Learn how this breakthrough makes large language models (LLMs) more accessible and environmentally friendly.
TurboSparse Mobile: 22x Faster Mixtral Inference on PowerInfer-2
4 Mar 2026
Learn how PowerInfer-2 leverages extreme sparsity for a 22.2x speedup over llama.cpp.
TurboSparse Inference: 4.6x Faster LLM Decoding via Hybrid GPU-CPU Computing
4 Mar 2026
Achieve up to 2.28x speedup on pure CPU and 4.64x in hybrid GPU-CPU environments compared to llama.cpp baselines.
TurboSparse: Elite Inference Speed via dReLU Sparsity
3 Mar 2026
Achieve 2-5x faster LLM decoding on RTX 4090 and mobile devices using TurboSparse. Experience 97% parameter sparsity without performance loss.
TurboSparse Inference Speedup: PowerInfer Integration for Real-Time LLM Decoding
3 Mar 2026
Learn how neuron-level predictor modules and expert routing enable practical inference acceleration for Mixtral-47B.PowerInfer Framework Integration
TurboSparse Efficiency: Achieving 97% Parameter Sparsity in Mixtral-47B
3 Mar 2026
Discover how TurboSparse-Mistral-7B and Mixtral-47B leverage ReLUfication to reach up to 90% neuron inactivity, reducing active parameters to just 3%
TurboSparse-LLM Performance: Outperforming Mixtral and Gemma with Extreme Sparsity
28 Feb 2026
Discover how ReLU-based intrinsic sparsity maintains accuracy with significant FLOPs reduction.