The emergence of Small Language Models (SLMs) is gaining attention in the field of language models. TinyLlama, a 1.1 billion-parameter language model, has been developed and pre-trained on 1 trillion tokens for 3 epochs. It outperforms existing open-source models in various tasks, demonstrating remarkable performance and promoting transparency. LiteLlama, a more compact version with 460M parameters trained on 1T tokens, has also been introduced. These models are seen as efficient and powerful AI tools, offering potential for end-user applications.
TinyLlama: Transforming NLP with Efficient Language Models #AI #AItechnology #artificialintelligence #commonsensereasoning #computationalefficiency #FlashAttentiontechnology #inclusiveresearch #languagemodel #llm #machinelearning https://t.co/oaB5CeX2dv https://t.co/nygnoGDq3u
I am a few days late to the party, but I just got a chance to read the TinyLlama paper (https://t.co/fME0Pvv24z) -- the latest addition to the "small" LLM category. On that note, what makes small LLMs (also referred to as SLMs, short for Small Language Models) so attractive?… https://t.co/9czZkL48q4
TinyLlama, a compact 1.1B language model pre-trained on 1 trillion tokens for 3 epochs, outperforms existing models in various tasks, promoting transparency and offering potential for end-user applications: https://t.co/oZgwRBNN0T https://t.co/loyJbmkop7
TinyLlama, a compact 1.1 billion-parameter language model, excels in understanding tasks & efficiency with an extensive 1 trillion token dataset: https://t.co/oZgwRBNN0T https://t.co/qway4VMRvj
TinyLlama, a compact language model pre-trained on 1 trillion tokens, outperforms existing open-source models in various tasks, demonstrating remarkable performance: https://t.co/oZgwRBNN0T https://t.co/863IBBfLZp
TinyLlama: An Open-Source Small Language Model https://t.co/RtEOFU2cm8
TinyLlama chat demo is out https://t.co/0wMSxEW2gj The TinyLlama project aims to pretrain a 1.1B Llama model on 3 trillion tokens. With some proper optimization, we can achieve this within a span of "just" 90 days using 16 A100-40G GPUs https://t.co/nXBDk0PmJW
Meet TinyLlama: An Open-Source Small-Scale Language Model that Pretrain a 1.1B Llama Model on 3 Trillion Tokens Quick read: https://t.co/xLea9gujyk Paper: https://t.co/MGdYdehoza Github: https://t.co/9YoXqWuSxK #ArtificialIntelligence #LLMs https://t.co/nhxdaFIZRo
Step into the future with #LiteLlama, a groundbreaking AI model mirroring the prowess of Meta AI's LLaMa 2 but in a more compact form! 🚀 With a sleek 460M parameters, trained on an impressive 1T tokens, LiteLlama-460M-1T offers an efficient yet powerful AI experience. Developed… https://t.co/Pc0wRr0dO3
LiteLlama is out an open-source reproduction of Meta AI's LLaMa 2. However, with significantly reduced model sizes, LiteLlama-460M-1T has 460M parameters trained with 1T tokens. https://t.co/qRtKo81oSo https://t.co/gq9TGEax8m
[CL] TinyLlama: An Open-Source Small Language Model https://t.co/Ccr3yiy65M TinyLlama is an open-source small language model that achieves remarkable performance despite its relatively small size. It surpasses existing models of similar sizes in various downstream tasks. It… https://t.co/5MIzIvJb2P
The tinyllama model clearly shows that small models are actually *saturating* in terms of performance... it's 1.55% better than OPT? Tinyllama was trained on a whopping 16x more tokens... https://t.co/9PJ4SK6FSJ
Read the paper for TinyLLaMA today 🦙💗 https://t.co/qRydmAY73W Some highlights ✨ - It's a 1.1B LM pre-trained on 1T tokens for 3 epochs - It really is a compact version of LLaMA, same architecture and tokenizer - Uses FSDP, original SwiGLU and FlashAttention for efficiency… https://t.co/VXHEouAfMI
Discover TinyLlama, the new small language model with big performance gains. Outshines peers in tasks while remaining efficient and fully open-source: https://t.co/oZgwRBNN0T https://t.co/sBu0r6i5QU
TinyLlama: An Open-Source Small Language Model paper page: https://t.co/XRI6xeGzYI present TinyLlama, a compact 1.1B language model pretrained on around 1 trillion tokens for approximately 3 epochs https://t.co/DGX9imUNyv
TinyLlama: An Open-Source Small Language Model Presents a compact 1.1B LM pretrained on around 1T tokens for ~3 epochs repo: https://t.co/nR4X7Hmsy2 abs: https://t.co/ted3gpL8ii https://t.co/RMEABiHsPg
🤔 Small Language Models (SLMs) might be the next thing. They're smaller in size and infra-friendly and might just match the performance of larger counterparts if trained on high-quality data. But can they? Let's find out in our latest post: https://t.co/GTtu85x33k
The capabilities of Language Models (LMs) are a joke and only Large Language Models (LLMs) matter today—but wait until we have Ridiculously Large Language Models (RLLMs), and then Ludicrously Large Language Models (LLLMs) after that, just before hitting the Singularity (L*Ms). https://t.co/rdpi1M5zgv