Mosaic Pretrained Transformers (MPT) are GPT-style models with some special features -- Flash Attention for efficiency, ALiBi for context length extrapolation, and stability improvements to mitigate loss spikes. As part of MosaicML's Foundation series, we have open-sourced several MPT models: Commercial use?

မိမိ၏ မိုဘိုင်းဖုန်းအသုံးပြုနှုန်းနှင့် ဝန်ဆောင်မှုများကို ပိုမိုလျင်ပြန်စွာသိရှိနိုင်ရန် အောက်ပါ USSD code များမှတစ်ဆင့်ကြည့ ...

MPT Club is a Points reward program which you can earn Points & Discount privileges based on your Monthly Top-up amount. If you want to make sure if the SIM is registered or not. If you are using the Top Up card, please use the mentioned USSD Code. For checking the purchased packages, plans and bonus.

There are four mobile operators in Myanmar. All mobile operators numbers are with 09 (9 without the 0 which is not used when calling from another country). All of them have the same format except MPT. Telenor, Ooredoo, and Mytel numbers have 11 digits (10 digits without the 0) with the prefix. Telenor start with 097. Ooredoo start with 098 or 099.

2023年5月5日 · MPT-7B is a transformer trained from scratch on 1T tokens of text and code. It is open source, available for commercial use, and matches the quality of LLaMA-7B. MPT-7B was trained on the MosaicML platform in 9.5 days with zero human intervention at a cost of ~$200k.

2023年5月5日 · MPT-7B is a decoder-style transformer pretrained from scratch on 1T tokens of English text and code. This model was trained by MosaicML. MPT-7B is part of the family of MosaicPretrainedTransformer (MPT) models, which use a modified transformer architecture optimized for efficient training and inference.

2017年3月27日 · Find all the most useful USSD codes for MPT Ooredoo Myanmar and Telenor Myanmar in a all-in-one PDF memo you can download and print easily

2019年5月17日 · MPT树是一种数据结构，用于在以太坊区块链中高效地存储和检索账户状态交易历史和其他重要数据。MPT树的设计旨在结合Merkle树和Patricia树的优点，以提供高效的数据存储和验证。

2023年12月3日 · mpt是一种decoder-style的model,所以在做attention的时候采用的causal方式，每个query只能访问到在它之前的value. 训练的时候是在8张V100 (32G)的机器上训练的，采用的是LORA的训练方式，训练的时候只会更新部分参数，如图中标黄的部分，在做attention的时候 (从下往上数第二个框)，会先将输入通过一个 线性变换 转化成QKV, 然后做 multi-head attention, 然后将结果再过一个线性变换最后再做dropout。我们在训练的时候，会对这两个线性变换相关的部 …

Code to train model from "Prompt-Tuning Can Be Much Better Than Fine-Tuning on Cross-lingual Understanding With Multilingual Language Models", accept by EMNLP 2022.