Unverified50% confidenceBenchmarkExact time
Paper evaluations show that, with hybrid decoding on NVIDIA H20, BitMTP achieves a 2.2x five-task average speedup on BitNet b1.58-2B and 2.1x to 2.4x on the 1.7B to 4B Bonsai model series, with comparable task quality.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/21/2026
First Seen
Valid until: 1/19/2027
Sources
Related Entities
Related Claims
UnverifiedPaper evaluations show that, on RTX 3090 and Jetson Orin, BitMTP achieves up to 2.0x five-task average throughput improvement, with the MBPP+ single task reaching 3.3x.74% similarUnverifiedWhen speculative decoding is configured properly, token generation speed can improve by about 1.5x (according to vLLM); Omer personally tested Qwen3 35B MoE with a DFlash drafter in his home lab and measured a 2x to 3x improvement, close to 3x in coding scenarios and about 1.5x in browser automation.72% similarUnverifiedThe UP host tested MiniCPM-2B on a computer with 4G VRAM and achieved a generation speed of 57 tokens per second, with a first-token latency of only 0.22 seconds.72% similarUnverifiedOn an RTX 3060, the developer's hand-written Triton fused W4A16 GEMV kernel targeting batch-1 decoding runs at about 25.5 tok/s, matching the roughly 25.7 tok/s of the bitsandbytes NF4 quantization scheme.71% similarUnverifiedThe M5 Max's token generation speed is approximately in the range of 10–30 tokens/s (depending on model size), while the NVIDIA H100's HBM3 memory bandwidth reaches up to 3.35 TB/s, enabling inference speeds tens of times faster than local devices.69% similar
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