huggingface / optimum-tpuLinks
Google TPU optimizations for transformers models
☆135Updated last week
Alternatives and similar repositories for optimum-tpu
Users that are interested in optimum-tpu are comparing it to the libraries listed below
Sorting:
- Load compute kernels from the Hub☆389Updated this week
- Q-GaLore: Quantized GaLore with INT4 Projection and Layer-Adaptive Low-Rank Gradients.☆201Updated last year
- Collection of autoregressive model implementation☆85Updated 3 weeks ago
- ☆137Updated last year
- ☆140Updated 5 months ago
- Lightweight toolkit package to train and fine-tune 1.58bit Language models☆110Updated 8 months ago
- 👷 Build compute kernels☆214Updated last week
- Large scale 4D parallelism pre-training for 🤗 transformers in Mixture of Experts *(still work in progress)*☆86Updated 2 years ago
- Manage scalable open LLM inference endpoints in Slurm clusters☆279Updated last year
- An efficent implementation of the method proposed in "The Era of 1-bit LLMs"☆155Updated last year
- Set of scripts to finetune LLMs☆37Updated last year
- A high-throughput and memory-efficient inference and serving engine for LLMs☆267Updated last month
- ☆203Updated last year
- Fully fine-tune large models like Mistral, Llama-2-13B, or Qwen-14B completely for free☆232Updated last year
- ☆304Updated this week
- Accelerating your LLM training to full speed! Made with ❤️ by ServiceNow Research☆282Updated this week
- an open source reproduction of NVIDIA's nGPT (Normalized Transformer with Representation Learning on the Hypersphere)☆110Updated 10 months ago
- ☆47Updated 2 years ago
- PyTorch/XLA integration with JetStream (https://github.com/google/JetStream) for LLM inference"☆79Updated last month
- Implementation of the Llama architecture with RLHF + Q-learning☆170Updated last year
- QLoRA with Enhanced Multi GPU Support☆37Updated 2 years ago
- ☆125Updated last year
- Let's build better datasets, together!☆269Updated last year
- Simple & Scalable Pretraining for Neural Architecture Research☆307Updated last month
- A tool to configure, launch and manage your machine learning experiments.☆215Updated this week
- experiments with inference on llama☆103Updated last year
- Repo hosting codes and materials related to speeding LLMs' inference using token merging.☆37Updated 3 months ago
- Data preparation code for Amber 7B LLM☆94Updated last year
- PyTorch implementation of models from the Zamba2 series.☆186Updated last year
- Code for the paper "QMoE: Practical Sub-1-Bit Compression of Trillion-Parameter Models".☆280Updated 2 years ago