abacusai / gh200-llmLinks
Docker image NVIDIA GH200 machines - optimized for vllm serving and hf trainer finetuning
☆47Updated 6 months ago
Alternatives and similar repositories for gh200-llm
Users that are interested in gh200-llm are comparing it to the libraries listed below
Sorting:
- Tree Attention: Topology-aware Decoding for Long-Context Attention on GPU clusters☆129Updated 8 months ago
- train with kittens!☆62Updated 10 months ago
- ☆202Updated 8 months ago
- Official code for "SWARM Parallelism: Training Large Models Can Be Surprisingly Communication-Efficient"☆143Updated last year
- Cold Compress is a hackable, lightweight, and open-source toolkit for creating and benchmarking cache compression methods built on top of…☆142Updated last year
- The evaluation framework for training-free sparse attention in LLMs☆91Updated 2 months ago
- An efficent implementation of the method proposed in "The Era of 1-bit LLMs"☆155Updated 10 months ago
- The source code of our work "Prepacking: A Simple Method for Fast Prefilling and Increased Throughput in Large Language Models" [AISTATS …☆61Updated 10 months ago
- ☆87Updated last year
- Long context evaluation for large language models☆220Updated 5 months ago
- Repo for "LoLCATs: On Low-Rank Linearizing of Large Language Models"☆245Updated 7 months ago
- Code for the paper "QMoE: Practical Sub-1-Bit Compression of Trillion-Parameter Models".☆277Updated last year
- Token Omission Via Attention☆128Updated 10 months ago
- Q-GaLore: Quantized GaLore with INT4 Projection and Layer-Adaptive Low-Rank Gradients.☆200Updated last year
- The simplest, fastest repository for training/finetuning medium-sized GPTs.☆153Updated 2 months ago
- Scaling is a distributed training library and installable dependency designed to scale up neural networks, with a dedicated module for tr…☆64Updated 10 months ago
- Load compute kernels from the Hub☆258Updated this week
- PCCL (Prime Collective Communications Library) implements fault tolerant collective communications over IP☆111Updated this week
- Code for exploring Based models from "Simple linear attention language models balance the recall-throughput tradeoff"☆240Updated 2 months ago
- The simplest implementation of recent Sparse Attention patterns for efficient LLM inference.☆85Updated last month
- ☆69Updated last year
- Experiment of using Tangent to autodiff triton☆80Updated last year
- ☆118Updated last year
- Archon provides a modular framework for combining different inference-time techniques and LMs with just a JSON config file.☆179Updated 5 months ago
- Example of applying CUDA graphs to LLaMA-v2☆12Updated 2 years ago
- Data preparation code for Amber 7B LLM☆91Updated last year
- ring-attention experiments☆149Updated 10 months ago
- ArcticTraining is a framework designed to simplify and accelerate the post-training process for large language models (LLMs)☆204Updated this week
- Code repository for the c-BTM paper☆107Updated last year
- ☆81Updated last year