apple / ml-hypercloningLinks
☆49Updated 9 months ago
Alternatives and similar repositories for ml-hypercloning
Users that are interested in ml-hypercloning are comparing it to the libraries listed below
Sorting:
- ☆82Updated last year
- ☆45Updated last year
- some common Huggingface transformers in maximal update parametrization (µP)☆82Updated 3 years ago
- Collection of autoregressive model implementation☆86Updated 4 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
- ☆48Updated 11 months ago
- ☆101Updated last month
- A repository for research on medium sized language models.☆78Updated last year
- ☆58Updated 3 months ago
- Code for NeurIPS LLM Efficiency Challenge☆59Updated last year
- Train, tune, and infer Bamba model☆131Updated 2 months ago
- Large scale 4D parallelism pre-training for 🤗 transformers in Mixture of Experts *(still work in progress)*☆87Updated last year
- EvaByte: Efficient Byte-level Language Models at Scale☆107Updated 4 months ago
- Lightweight toolkit package to train and fine-tune 1.58bit Language models☆83Updated 3 months ago
- PyTorch implementation of models from the Zamba2 series.☆184Updated 7 months ago
- Anchored Preference Optimization and Contrastive Revisions: Addressing Underspecification in Alignment☆60Updated 11 months ago
- MatFormer repo☆61Updated 8 months ago
- JORA: JAX Tensor-Parallel LoRA Library (ACL 2024)☆35Updated last year
- Google TPU optimizations for transformers models☆118Updated 7 months ago
- ☆54Updated 9 months ago
- Matrix (Multi-Agent daTa geneRation Infra and eXperimentation framework) is a versatile engine for multi-agent conversational data genera…☆88Updated this week
- Explorations into the proposal from the paper "Grokfast, Accelerated Grokking by Amplifying Slow Gradients"☆101Updated 8 months ago
- Tree Attention: Topology-aware Decoding for Long-Context Attention on GPU clusters☆129Updated 8 months ago
- Pytorch implementation of the PEER block from the paper, Mixture of A Million Experts, by Xu Owen He at Deepmind☆127Updated last year
- Experiments for efforts to train a new and improved t5☆76Updated last year
- ☆31Updated 9 months ago
- Implementation of the Llama architecture with RLHF + Q-learning☆166Updated 6 months ago
- ☆134Updated last year
- ☆49Updated last year
- Load compute kernels from the Hub☆244Updated this week