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aa

Como criar uma linguagem de programação simples do zero, usando somente o ANTLR4, o Windows e o ChatGPT3. Tutorial completo.

anima

33B Chinese LLM, DPO QLORA, 100K context, AirLLM 70B inference with single 4GB GPU

antlr4

ANTLR (ANother Tool for Language Recognition) is a powerful parser generator for reading, processing, executing, or translating structured text or binary files.

auto-gpt

An experimental open-source attempt to make GPT-4 fully autonomous.

axolotl

Go ahead and axolotl questions

bagel

A bagel, with everything.

codebert

CodeBERT

codeqwen1.5

CodeQwen1.5 is the code version of Qwen, the large language model series developed by Qwen team, Alibaba Cloud.

codetrans

Pretrained Language Models for Source code

crewai

Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.

deeplearning4j

Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learning

deepseek-coder

DeepSeek Coder: Let the Code Write Itself

deepspeed

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

devika

Devika is an Agentic AI Software Engineer that can understand high-level human instructions, break them down into steps, research relevant information, and write code to achieve the given objective. Devika aims to be a competitive open-source alternative to Devin by Cognition AI.

evals

Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.

evaluate

🤗 Evaluate: A library for easily evaluating machine learning models and datasets.

fcc-intro-to-llms

finetune-phi-2-llm-using-peft-qlora

Fine-tuning Large Language Models (LLMs) is a crucial step in adapting these powerful models to specific tasks or domains. In this seminar code tutorial, we will explore how to perform fine-tuning using QLoRA (Quantized LoRA), a memory-efficient iteration of LoRA (Low-Rank Adaptation), for parameter-efficient fine-tuning.

ggml

Tensor library for machine learning

gpt-neo

An implementation of model parallel GPT-2 and GPT-3-style models using the mesh-tensorflow library.

gpt-neox

An implementation of model parallel autoregressive transformers on GPUs, based on the DeepSpeed library.

human-eval

Code for the paper "Evaluating Large Language Models Trained on Code"

inmemantlr

ANTLR as a libray for JVM based languages

llama-factory

Unify Efficient Fine-Tuning of 100+ LLMs

lm-studio-presets

Preset JSON files to be used with LM studio

loraplus

luaforwindows

Lua for Windows is a 'batteries included environment' for the Lua scripting language on Windows. NOTICE: Looking for maintainer.

magicoder

Magicoder: Source Code Is All You Need

mobillama

MobiLlama : Small Language Model tailored for edge devices

opencodeinterpreter

OpenCodeInterpreter is a suite of open-source code generation systems aimed at bridging the gap between large language models and sophisticated proprietary systems like the GPT-4 Code Interpreter. It significantly enhances code generation capabilities by integrating execution and iterative refinement functionalities.