A framework for few-shot evaluation of language models.

SimPO: Simple Preference Optimization with a Reference-Free Reward

Together Mixture-Of-Agents (MoA) – 65.1% on AlpacaEval with OSS models

A quick guide (especially) for trending instruction finetuning datasets

[ACL 2024] Raccoon: Prompt Extraction Benchmark of LLM-Integrated Applications

A high-throughput and memory-efficient inference and serving engine for LLMs

SoftVC VITS Singing Voice Conversion

Your browser's reference manager: automatic paper detection (Arxiv, OpenReview & more), publication venue matching and code repository discovery! Also enhances ArXiv: BibTex citation, Markdown link…

Must-read Papers on Large Language Model (LLM) Planning.

Beyond the Imitation Game collaborative benchmark for measuring and extrapolating the capabilities of language models

The dataset and code for paper: TheoremQA: A Theorem-driven Question Answering dataset

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

Awesome-LLM: a curated list of Large Language Model

Inference code for facebook LLaMA models with Wrapyfi support

This repository contains code for extending the Stanford Alpaca synthetic instruction tuning to existing instruction-tuned models such as Flan-T5.

4 bits quantization of LLaMa using GPTQ

Just a simple HowTo for https://github.com/johnsmith0031/alpaca_lora_4bit

Shared repository for open-sourced projects from the Google AI Language team.

A curated list of prompts, tools, and resources regarding the GPT-4 language model.

Scalable Bloom Filter implemented in Python

Implement recursion using English as the programming language and an LLM as the runtime.

ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型

Instruct-tune LLaMA on consumer hardware

A Gradio web UI for Large Language Models.

Fork of Facebooks LLaMa model to run on CPU

Quantized inference code for LLaMA models

4 bits quantization of LLaMA using GPTQ

The NetHack Learning Environment

🔥Highlighting the top ML papers every week.

A trend starts from "Chain of Thought Prompting Elicits Reasoning in Large Language Models".