XIAOMI-W Stock Forum

Cui Nyonya Kueh : Hi where is Mr Lim? Today no class., no announcement. Everyone was waiting.

105348083 Cui Nyonya Kueh :

Himzzi : outdated update.

74128907 :

104561452 : better 40

Hayley919 : me toooooo

Saywallahcuzzy : good luck waiting then

103567643 : Drecam on

Moriarty mcG : Frank a Joker

BONEHEAD20 : Ive been expecting this for the past 40 years

Tonyco : Too bad the US is too focused on going backwards than forwards.
I just hope China can ethically handle the displacement. Their more socialized government has the best chance imo

105172342 : Very well written. Fully agreed. As said 'while machines are building, humans are innovating'.

钟智强 : Yes.

Saywallahcuzzy : @Moriarty mcG we have another Xiaomi fan!

Mysophobe OP : I bought more when price went down a few weeks back.

Moriarty mcG Saywallahcuzzy : More the merrier

Moriarty mcG OP : Xiaomi recently unveiled MiMo, its first open-source large language model (LLM) designed for reasoning tasks, announced on April 30, 2025. Here’s a detailed breakdown based on available information:What is MiMo?MiMo (likely standing for "Mindful Model" or a similar term, though not explicitly defined) is a 7-billion-parameter LLM series, trained from scratch by Xiaomi’s LLM-Core Team for mathematics, coding, and general reasoning tasks. It’s optimized through pre-training and post-training (reinforcement learning, or RL) to enhance reasoning capabilities.The MiMo-7B series includes:MiMo-7B-Base: Pre-trained on ~25 trillion tokens with a multi-token prediction objective to boost performance and inference speed.MiMo-7B-SFT: A supervised fine-tuned version.MiMo-7B-RL: RL-tuned from the base model, excelling in math and code.MiMo-7B-RL-Zero: RL-trained from a cold-start supervised fine-tuned model, achieving 93.6% on specific benchmarks.PerformanceDespite its compact size (7B parameters), MiMo outperforms larger models like OpenAI’s closed-source o1-mini and Alibaba’s Qwen-32B-Preview on key benchmarks (e.g., AIME24, AIME25, LiveCodeBench, MATH500, GPQA-Diamond). For example, MiMo-7B-RL matches o1-mini’s performance in math and coding tasks.It uses a three-stage pre-training data mixture and RL with 130K curated math/code problems, verified by rule-based systems to ensure quality. A test difficulty-driven reward system and data resampling enhance its optimization.AvailabilityMiMo is open-source, with models available on Hugging Face (https://huggingface.co/XiaomiMiMo). Xiaomi supports inference via a forked version of vLLM, though compatibility with other engines is unverified. The team welcomes contributions and feedback at mimo@xiaomi.com.The release includes checkpoints for all model variants, aiming to benefit the broader AI community by providing insights into building reasoning-focused LLMs.SignificanceMiMo marks Xiaomi’s entry into the competitive AI landscape, showcasing its ambition beyond hardware. Posts on X highlight its compact efficiency and superior performance, with sentiments praising Xiaomi’s innovation in open-source AI.Unlike proprietary models, MiMo’s open-source nature allows developers and researchers to adapt and build upon it, potentially accelerating advancements in reasoning-focused AI applications

Saywallahcuzzy : I think I need to put more money on this
I don't care what Morningstar says about it