Matt Krzus (KayneWest)

KayneWest

Geek Repo

Company:lastfrontiertechnologies.com

Location:Chicago, IL

Home Page:www.mattkrzus.com

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Matt Krzus's repositories

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alignment-handbook

Robust recipes to align language models with human and AI preferences

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debatrix

LLM-based Multi-dimensinal Debate Judge with Iterative Chronological Analysis

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distributed-llama

Run LLMs on weak devices or make powerful devices even more powerful by distributing the workload and dividing the RAM usage.

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gmailsponge

sponge your gmail with artificial intelligence

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grok

Grok open release

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instructor

structured outputs for llms

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LightZero

[NeurIPS 2023 Spotlight] LightZero: A Unified Benchmark for Monte Carlo Tree Search in General Sequential Decision Scenarios

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llm-reasoners

A library for advanced large language model reasoning

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LLM-self-play

Minimal implementation of the Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models paper (ArXiv 20232401.01335)

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LMFlow

An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Models for All.

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m2

Repo for "Monarch Mixer: A Simple Sub-Quadratic GEMM-Based Architecture"

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MCTS-DPO

This is the repository that contains the source code for the Self-Evaluation Guided MCTS for online DPO.

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mergekit

Tools for merging pretrained large language models.

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MRL

Code repository for the paper - "Matryoshka Representation Learning"

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OpenDevin

🐚 OpenDevin: Code Less, Make More

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Parameter-Efficient-MoE

Parameter-Efficient Sparsity Crafting From Dense to Mixture-of-Experts for Instruction Tuning on General Tasks

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repeng

A library for making RepE control vectors

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ring-flash-attention

Ring attention implementation with flash attention

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searchless_chess

Grandmaster-Level Chess Without Search

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simple_transformer

Simple Transformer in Jax

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SPAG

Self-playing Adversarial Language Game Enhances LLM Reasoning

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streaming

A Data Streaming Library for Efficient Neural Network Training

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SWE-agent

SWE-agent takes a GitHub issue and tries to automatically fix it, using GPT-4, or your LM of choice. It solves 12.29% of bugs in the SWE-bench evaluation set and takes just 1.5 minutes to run.

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vec2text

utilities for decoding deep representations (like sentence embeddings) back to text

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