gemma
fancyInput
gemma | fancyInput | |
---|---|---|
3 | 1 | |
2,045 | 1,953 | |
8.6% | - | |
5.8 | 0.0 | |
26 days ago | about 6 years ago | |
Jupyter Notebook | CSS | |
Apache License 2.0 | - |
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gemma
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What are LLMs? An intro into AI, models, tokens, parameters, weights, quantization and more
Medium models: Roughly between 1B to 10B parameters. This is where Mistral 7B, Phi-3, Gemma from Google DeepMind, and wizardlm2 sit. Fun fact: GPT 2 was a medium sized model, much smaller than its latest versions.
- Gemma – a family of lightweight, state-of-the art open models from Google
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Gemma: New Open Models
We've documented the architecture (including key differences) in our technical report here (https://goo.gle/GemmaReport), and you can see the architecture implementation in our Git Repo (https://github.com/google-deepmind/gemma).
What are some alternatives?
gemma_pytorch - The official PyTorch implementation of Google's Gemma models
jQuery-Autocomplete - Ajax Autocomplete for jQuery allows you to easily create autocomplete/autosuggest boxes for text input fields
gemma.cpp - lightweight, standalone C++ inference engine for Google's Gemma models.
At.js - Add Github like mentions autocomplete to your application.
ollama - Get up and running with Llama 3, Mistral, Gemma, and other large language models.
awesomplete - Ultra lightweight, usable, beautiful autocomplete with zero dependencies.
Ion.CheckRadio
tag-it - A jQuery UI plugin to handle multi-tag fields as well as tag suggestions/autocomplete.
vanilla-masker - VanillaMasker is a pure javascript mask input
sakura - :cherry_blossom: a minimal css framework/theme.
Gutenberg - Modern framework to print the web correctly.
Picnic CSS - :handbag: A beautiful CSS library to kickstart your projects