ctlllll

ctlllll's Stars

• xai-org/grok-1

  Grok open release

  Language:Python49.6k5742108.3k

• astral-sh/ruff

  An extremely fast Python linter and code formatter, written in Rust.

  Language:Rust33k805.6k1.1k

• myshell-ai/MeloTTS

  High-quality multi-lingual text-to-speech library by MyShell.ai. Support English, Spanish, French, Chinese, Japanese and Korean.

  Language:Python4.8k40185631

• kyegomez/BitNet

  Implementation of "BitNet: Scaling 1-bit Transformers for Large Language Models" in pytorch

  Language:Python1.7k4240155

• google/maxtext

  A simple, performant and scalable Jax LLM!

  Language:Python1.5k2888274

• jiaweizzhao/GaLore

  GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection

  Language:Python1.4k1954149

• rcaloras/bashhub-client

  :cloud: Bash history in the cloud. Indexed and searchable.

  Language:Python1.3k3110280

• BAAI-DCAI/Bunny

  A family of lightweight multimodal models.

  Language:Python9341812569

• carlini/yet-another-applied-llm-benchmark

  A benchmark to evaluate language models on questions I've previously asked them to solve.

  Language:Python916171466

• myshell-ai/AIlice

  AIlice is a fully autonomous, general-purpose AI agent.

  Language:Python8682142134

• deepseek-ai/DeepSeek-Math

  DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

  Language:Python840132951

• mit-han-lab/distrifuser

  [CVPR 2024 Highlight] DistriFusion: Distributed Parallel Inference for High-Resolution Diffusion Models

  Language:Python59392323

• zhuzilin/ring-flash-attention

  Ring attention implementation with flash attention

  Language:Python588103547

• lhao499/ringattention

  Transformers with Arbitrarily Large Context

  Language:Python57151543

• mlabonne/llm-autoeval

  Automatically evaluate your LLMs in Google Colab

  Language:Python55972091

• lucidrains/ring-attention-pytorch

  Implementation of 💍 Ring Attention, from Liu et al. at Berkeley AI, in Pytorch

  Language:Python477101628

• VIRL-Platform/VIRL

  (ECCV 2024) Code for V-IRL: Grounding Virtual Intelligence in Real Life

  Language:Python31512512

• catid/dora

  Implementation of DoRA

  Language:Python28310218

• erfanzar/EasyDeL

  Accelerate, Optimize performance with streamlined training and serving options with JAX.

  Language:Python208129125

• FasterDecoding/BitDelta

  Language:Jupyter Notebook1844513

• jxnl/n-levels-of-rag

  Language:Python18211310

• jthickstun/anticipation

  Anticipatory Autoregressive Models

  Language:Python15051428

• felipemaiapolo/tinyBenchmarks

  Evaluating LLMs with fewer examples

  Language:Jupyter Notebook13531015

• young-geng/scalax

  A simple library for scaling up JAX programs

  Language:Python1277010

• mit-han-lab/patch_conv

  Patch convolution to avoid large GPU memory usage of Conv2D

  Language:Python79815

• luyug/magix

  Supercharge huggingface transformers with model parallelism.

  Language:Python75213

• myshell-ai/MyShell-TTS-Subnet

  Language:Python579018

• euclaise/supertrainer2000

  Language:Python49271

• erfanzar/FJFormer

  paralleled/unparalleled computational with FJFormer

  Language:Python24504

• sekstini/basedxl

  Language:Python15100