PaLM 2 vs TinyLlama
Overview
Share your Stack
Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.
CLI (Node.js)
Manual
Detailed Comparison
It aims to pre-train a 1.1 billion parameter language model on 3 trillion tokens of text data. It is compact with only 1.1B parameters. This compactness allows it to cater to a multitude of applications demanding a restricted computation and memory footprint. | It is a next-generation large language model that excels at advanced reasoning tasks, including code and math, classification, question answering, translation, multilingual proficiency, and natural language generation. |
1.1 billion parameter language model;
Trained on 3 trillion tokens of text data;
Uses the same architecture and tokenizer as Llama 2;
Compact and fast | Use of compute-optimal scaling;
Excels at advanced reasoning tasks;
Translation, multilingual proficiency, and natural language generation |
Statistics | |
GitHub Stars 8.8K | GitHub Stars - |
GitHub Forks 572 | GitHub Forks - |
Stacks 0 | Stacks 1 |
Followers 2 | Followers 1 |
Votes 0 | Votes 0 |
What are some alternatives to TinyLlama, PaLM 2?
Grok-1
It is the base model weights and network architecture of Grok-1, the large language model. Grok-1 is a 314 billion parameter Mixture-of-Experts model trained from scratch by xAI.
Google Gemini
It is Google’s largest and most capable AI model. It is built to be multimodal, it can generalize, understand, operate across, and combine different types of info — like text, images, audio, video, and code.
LLaMA
It is a state-of-the-art foundational large language model designed to help researchers advance their work in this subfield of AI.
Whisper
It is a general-purpose speech recognition model. It is trained on a large dataset of diverse audio and is also a multi-task model that can perform multilingual speech recognition as well as speech translation and language identification.
Grok 4
Try Grok 4 on GPT Proto. Access xAI’s most advanced 1.7T LLM with 130K context, multimodal support, and real-time data integration for dynamic analysis.
Squadexa AI
At Squadexa AI, we believe that artificial intelligence should help people be more creative, not take their place. Our goal is to make writing and content creation easy for everyone. We support content creators, marketers, and businesses by giving them smart and easy-to-use AI tools. These tools help users write better content in less time. They also help people create more content when needed, without losing quality. Squadexa AI makes sure that every piece of content still sounds real, natural, and human. We understand that every person and brand has its own voice. That is why our tools help improve writing without changing the writer’s style or message. Users can create, improve, and grow their content while keeping their originality. At Squadexa AI, we focus on new ideas, simple design, and real results. We want our tools to be useful in everyday work, not confusing or difficult. By doing this, we are helping shape the future where AI works together with humans to create meaningful and creative content for people all over the world.
FlowEngine
Build n8n workflows with AI and deploy in 30 seconds. Free hosting, workflow analyzer, and 100+ LLM models included.
Free Online Paraphrasing Tool
Use e4tools’ free online paraphrasing tool to quickly rewrite sentences, paragraphs, and articles with AI for clarity, readability, and originality.
GLM-4.7 API
Build smarter coding agents with the GLM-4.7 API, featuring multilingual coding, terminal tasks, and think-before-act reasoning.
DeepSeek V4: Future
Discover DeepSeek V4, a future-ready reasoning model for long context, clear outputs, and reliable automation. Join the preview and shape how teams work.
