Background: Encoders and Decoders Many of the best models today such as LLAMA-2, GPT-2, or Falcon are “decoder-only” models. A decoder-only model: takes a sequence of previous tokens (AKA a prompt) runs those tokens through the model (often creating embeddings from tokens and running...
Afterinstalling ollama, you can initiate the ollama service with the following command: ollama serve#You need to keep this service running whenever you are using ollama To pull a model checkpoint and run the model, use theollama runcommand. You can specify a model size by adding a suffix ...
Autoregressive models: This type of transformer model is trained specifically to predict the next word in a sequence, which represents a huge leap forward in the ability to generate text. Examples of autoregressive LLMs include GPT,Llama, Claude and the open-source Mistral. ...
InferflowEditing configuration filespickle (safe), safetensors, gguf, llama2.cdecoder-only, encoder-decoder, encoder-only2b, 3b,3.5b, 4b, 5b, 6b, 8b✔C++ Support Matrix Pickle (Inferflow reduces the security issue of most other inference engines in loading pickle-format files). ...
Many open source models, like BigScience’s BLOOM, Meta AI’s LLaMa and Google’s Flan-T5, can be accessed through Hugging Face (link resides outside ibm.com). IBM watsonx, through its partnership with Hugging Face, also offers a curated suite of open source models. Creating an account ...
后来又换成了Llama1 30B,没有多少提升……其实开源的一堆大模型面对这种任务时都差不多。另外,笔者也试过encoder-decoder架构的模型,比如Flan-T5-XL,发现确实比decoder only架构的模型更适合于这种任务,但也只是提高了4个点而已。 关于大模型的推理能力,我想分享几篇有趣的论文和我的实验观察。论文Large Language...
However, Meta recently reported that its Large Language Model Meta AI (Llama) with 13 billion parameters outperformed a 175-billion-paramter generative pre-trained transformer (GPT) model on major benchmarks. A 65-billion-parameter variant ofLlama matched the performanceof models with over 500 bill...
LLM在语言生成、上下文学习、世界知识和推理方面表现出色,GPT系列是代表作,包括GPT-3、ChatGPT、GPT-4和InstructGPT,其他LLMs如OPT、LLaMA、MOSS和GLM也较为著名。 近期出现了基于API的应用程序,解决了以视觉为中心的任务,这些应用程序将视觉API与语言模型结合,以进行决策或规划。使用基于语言的指令描述视觉元素便利,...
In the case of the original BERT, this is even more likely, as the model was trained withoutReinforcement Learning from Human Feedback(RLHF), a standard technique used by more advanced models, like ChatGPT, LLaMA 2, and Google Bard, to enhance AI safety. RLHF involves using human feedbac...
图1就是我们常用的,decoder only又被称为Causal(因果),图2就是prefix-LM,GLM的原型,图3就是不太常用的T5就是这个架构 首先3种都是可以训练的,这个没啥可说的 在推理上encoder-decoder可就太不占优势了,因为它参数是前两个的两倍,得多用多少块卡啊,如果你的训练效果不能超过前两个两倍,那就都是赔的 ...