原文链接:《TinyLlama: An Open-Source Small Language Model》全文翻译 Abstract 我们推出了 TinyLlama,这是一个紧凑的 1.1B 语言模型,在大约 1 万亿个令牌上进行了大约 3 个时期的预训练。 TinyLlama 基于 Llama 2(Touvron 等人,2023b)的架构和标记器构建,利用开源社区贡献的各种进步(例如 FlashAttention(Dao,...
《TinyLlama: An Open-Source Small Language Model》全文翻译,我们推出了TinyLlama,这是一个紧凑的1.1B语言模型,在大约1万亿个令牌上进行了大约3个时期的预训练。TinyLlama基于Llam规模相当的现有开源语言模型。。
This model is great for document summarization, multilingual tasks, and logical reasoning. Parameters: 3.8 billion Access: https://huggingface.co/microsoft/phi-2 Open source: Yes, for research purposes only. 7. StableLM-zephyr StableLM-Zephyr is a small language model with 3 billion parameters ...
Ghodsian experimented with FLAN-T5, an open source natural language model developed by Google andavailable on Hugging Face, to learn about SLMs. Ghodsian tested FLAN-T5's 248 million-parameter version. "When you add resource document generation, it gives you way better results than using [LLM...
Now that our environment is ready, we can get a pre-trained small language model for local use. For a small language model, we can consider simpler architectures like LSTM or GRU, which are computationally less intensive than more complex models like transformers. You can also use pre-trained...
They dubbed the resulting dataset “TinyStories” and used it to train very small language models of around 10 million parameters. To their surprise, when prompted to create its own stories, the small language model trained on TinyStories generated fluent narratives with perfect grammar. Next, the...
“large” language model. In Vary-toy, we introduce an improved vision vocabulary, allowing the model to not only possess all features of Vary but also gather more generality. Specifically, we replace negative samples of natural images with positive sample data driven by object detection in the ...
potentially different from the one used by the larger model. For example, while larger models might provide a direct answer to a complex task, smaller models may not have the same capacity. In Orca 2, we teach the model various reasoning techniques (step-by-step, recall then generate...
TinyLlama:"TinyLlama: An Open-Source Small Language Model".Peiyuan Zhang, Guangtao Zeng, Tianduo Wang, Wei Lu.2024. [Paper] [HuggingFace] [Chat Demo] [Discord] CodeLlama:"Code Llama: Open Foundation Models for Code".Baptiste Rozière, Jonas Gehring, Fabian Gloeckle, Sten Sootla, Itai Ga...
Unlock the potential of AI with Azure Machine Learning's phi-3: Finetune your own Small Language Model (SLM) to perfection. Dive into the cutting-edge...