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alpaca-cot

We extend CoT data to Alpaca to boost its reasoning ability. We are constantly expanding our collection of instruction-tuning data. The instruction collection can be found at https://huggingface.co/datasets/QingyiSi/Alpaca-CoT/tree/main （我们将CoT数据扩展到Alpaca以提高其推理能力，同时我们将不断收集更多的instruction-tuning数据集。）

alpaca-lora

Instruct-tune LLaMA on consumer hardware

awesome-llm

Awesome-LLM: a curated list of Large Language Model

chatrwkv

ChatRWKV is like ChatGPT but powered by RWKV (100% RNN) language model, and open source.

cogagent

dense-graph-

Finding dense graph from given graph

densest-subgraph-discovery

A Python repository for finding the densest subgraph in a undirected graph

dynamic_dense_subgraph

find_densest_subgraph

Find the densest subgraph in an undirected graph through Andrew Goldberg's algorithm.

flexgen

Running large language models like OPT-175B/GPT-3 on a single GPU. Focusing on high-throughput generation.

instr-tuning

llama

Inference code for LLaMA models

mc-planner

Implementation of "Describe, Explain, Plan and Select: Interactive Planning with Large Language Models Enables Open-World Multi-Task Agents"

rwkv-lm

RWKV is an RNN with transformer-level LLM performance. It can be directly trained like a GPT (parallelizable). So it's combining the best of RNN and transformer - great performance, fast inference, saves VRAM, fast training, "infinite" ctx_len, and free sentence embedding.

stream-app

webshop

[NeurIPS 2022] 🛒WebShop: Towards Scalable Real-World Web Interaction with Grounded Language Agents