abacusai / gh200-llm
Docker image NVIDIA GH200 machines - optimized for vllm serving and hf trainer finetuning
☆40Updated 2 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☆126Updated 5 months ago
- train with kittens!☆57Updated 6 months ago
- An efficent implementation of the method proposed in "The Era of 1-bit LLMs"☆154Updated 7 months ago
- Load compute kernels from the Hub☆119Updated last week
- Collection of autoregressive model implementation☆85Updated 3 weeks ago
- Experiment of using Tangent to autodiff triton☆78Updated last year
- ☆79Updated 10 months ago
- Experiments on speculative sampling with Llama models☆126Updated last year
- The source code of our work "Prepacking: A Simple Method for Fast Prefilling and Increased Throughput in Large Language Models" [AISTATS …☆59Updated 7 months ago
- Inference server benchmarking tool☆59Updated 3 weeks ago
- RWKV-7: Surpassing GPT☆84Updated 5 months ago
- ArcticTraining is a framework designed to simplify and accelerate the post-training process for large language models (LLMs)☆93Updated last week
- ☆43Updated last year
- Comprehensive analysis of difference in performance of QLora, Lora, and Full Finetunes.☆82Updated last year
- Manage scalable open LLM inference endpoints in Slurm clusters☆256Updated 10 months ago
- Cold Compress is a hackable, lightweight, and open-source toolkit for creating and benchmarking cache compression methods built on top of…☆131Updated 9 months ago
- Write a fast kernel and run it on Discord. See how you compare against the best!☆44Updated this week
- Simple and efficient pytorch-native transformer training and inference (batched)☆75Updated last year
- an open source reproduction of NVIDIA's nGPT (Normalized Transformer with Representation Learning on the Hypersphere)☆98Updated 2 months ago
- Scaling is a distributed training library and installable dependency designed to scale up neural networks, with a dedicated module for tr…☆60Updated 6 months ago
- Cray-LM unified training and inference stack.☆22Updated 3 months ago
- Optimizing Causal LMs through GRPO with weighted reward functions and automated hyperparameter tuning using Optuna☆53Updated 3 months ago
- Code for the paper "QMoE: Practical Sub-1-Bit Compression of Trillion-Parameter Models".☆274Updated last year
- OpenCoconut implements a latent reasoning paradigm where we generate thoughts before decoding.☆172Updated 4 months ago
- Token Omission Via Attention☆126Updated 7 months ago
- Data preparation code for Amber 7B LLM☆89Updated last year
- Repo for "LoLCATs: On Low-Rank Linearizing of Large Language Models"☆233Updated 3 months ago
- Zeus LLM Trainer is a rewrite of Stanford Alpaca aiming to be the trainer for all Large Language Models☆69Updated last year
- Large scale 4D parallelism pre-training for 🤗 transformers in Mixture of Experts *(still work in progress)*☆82Updated last year
- Train, tune, and infer Bamba model☆124Updated 2 weeks ago