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apollohuang1's Projects

llm-attacks icon llm-attacks

Universal and Transferable Attacks on Aligned Language Models

llm-blender icon llm-blender

[ACL2023] We introduce LLM-Blender, an innovative ensembling framework to attain consistently superior performance by leveraging the diverse strengths of multiple open-source LLMs. LLM-Blender cut the weaknesses through ranking and integrate the strengths through fusing generation to enhance the capability of LLMs.

llm-course icon llm-course

Course with a roadmap and notebooks to get into Large Language Models (LLMs).

llm-gen icon llm-gen

A simple generate script utils using fastchat conv template for generation of Large Language Models

llm-knowledge-boundary icon llm-knowledge-boundary

Implementation of "Investigating the Factual Knowledge Boundary of Large Language Models with Retrieval Augmentation"

llm-reasoning-papers icon llm-reasoning-papers

Collection of papers and resources on Reasoning in Large Language Models (LLMs), including Chain-of-Thought (CoT), Instruction-Tuning, and others.

llm-tuning icon llm-tuning

Tuning LLMs with no tears💦, sharing LLM-tools with love❤️.

llm-zoo icon llm-zoo

LLM Zoo collects information of various open- and close-sourced LLMs

llm_vs_vector icon llm_vs_vector

Testing speed and cost of classification via LLM or via vector embeddings

llms_tool icon llms_tool

一个基于HuggingFace开发的大语言模型训练、测试工具。支持各模型的webui、终端预测,低参数量及全参数模型训练和融合、量化。

llmspracticalguide icon llmspracticalguide

A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)

llmsurvey icon llmsurvey

The official GitHub page for the survey paper "A Survey of Large Language Models".

llmtune icon llmtune

4-Bit Finetuning of Large Language Models on One Consumer GPU

llmzoo icon llmzoo

⚡LLM Zoo is a project that provides data, models, and evaluation benchmark for large language models.⚡

llvm-project icon llvm-project

The LLVM Project is a collection of modular and reusable compiler and toolchain technologies. Note: the repository does not accept github pull requests at this moment. Please submit your patches at http://reviews.llvm.org.

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