alpaca
20 progetti condividono questo topic GitHub
Le linee collegano membri che sono misurabilmente correlati tra loro. La dimensione dei punti riflette le stelle.
🧬 Membri
Chinese-LLaMA-Alpaca
中文LLaMA&Alpaca大语言模型+本地CPU/GPU训练部署 (Chinese LLaMA & Alpaca LLMs)
★ 18.9k
QuantDinger
AI quantitative trading platform for crypto, stocks, and forex with backtesting, live trading, market data,…
★ 9.7k
Chinese-LLaMA-Alpaca-2
中文LLaMA-2 & Alpaca-2大模型二期项目 + 64K超长上下文模型 (Chinese LLaMA-2 & Alpaca-2 LLMs…
★ 7.1k
Firefly
★ 6.6k
GPT-4-LLM
Instruction Tuning with GPT-4
★ 4.3k
Alpaca-CoT
We unified the interfaces of instruction-tuning data (e.g., CoT data), multiple LLMs and parameter-efficient…
★ 2.8k
mPLUG-Owl
mPLUG-Owl: The Powerful Multi-modal Large Language Model Family
★ 2.5k
text-generation-webui-colab
A colab gradio web UI for running Large Language Models
★ 2.1k
Chinese-LLaMA-Alpaca-3
中文羊驼大模型三期项目 (Chinese Llama-3 LLMs) developed from Meta Llama 3
★ 2k
lumibot
Backtestable AI trading agents and Python algorithmic trading strategies for stocks, options, crypto,…
★ 1.8k
safe-rlhf
Safe RLHF: Constrained Value Alignment via Safe Reinforcement Learning from Human Feedback
★ 1.6k
llama.go
llama.go is like llama.cpp in pure Golang!
★ 1.4k
lawyer-llama
中文法律LLaMA (LLaMA for Chinese legel domain)
★ 995
QiZhenGPT
QiZhenGPT: An Open Source Chinese Medical Large Language Model｜一个开源的中文医疗大语言模型
★ 776
LLaMA-LoRA-Tuner
UI tool for fine-tuning and testing your own LoRA models base on LLaMA, GPT-J and more. One-click run on…
★ 474
Visual-Chinese-LLaMA-Alpaca
多模态中文LLaMA&Alpaca大语言模型（VisualCLA）
★ 461
LLaMA-Cult-and-More
Large Language Models for All, 🦙 Cult and More, Stay in touch !
★ 449
xllm
🦖 X—LLM: Cutting Edge & Easy LLM Finetuning
★ 409
flan-alpaca
This repository contains code for extending the Stanford Alpaca synthetic instruction tuning to existing…
★ 356
Awesome-instruction-tuning
A curated list of awesome instruction tuning datasets, models, papers and repositories.
★ 346
🔗 Famiglie affini
Misurato dai temi di GitHub condivisi da entrambi i progetti, ponderato in base a quanto è raro ciascun tema.