Unverified50% confidenceBenchmarkExact time
The MiMo-V2.5 main model runs at approximately 8–10 tokens/s under a VRAM offload configuration with dual 24GB GPUs and 96/128GB DDR5 memory.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
7/24/2026
First Seen
Valid until: 10/22/2026
Sources
小米静默发布MiMo-V2.5-DFlash：300B模型推理速度或将翻倍
redditr/LocalLLaMA7/12/2026
Related Claims
Unverified128GB DDR5 memory can fully load all weights of a 70B-class model, but at a speed of approximately 2–5 tokens/s.78% similarUnverifiedThe 4-bit quantized GGUF format version of llama.cpp enables the Llama 3.1 70B model to run on an Apple M2 Ultra with 64GB unified memory at an inference speed of approximately 20–30 tokens/second.69% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/607364API
curl https://kongchang.com/api/v1/knowledge/claims/607364MCP
get_claim(id=607364)