NVlabs / hymba
☆174Updated 4 months ago
Alternatives and similar repositories for hymba:
Users that are interested in hymba are comparing it to the libraries listed below
- PyTorch implementation of models from the Zamba2 series.☆179Updated 2 months ago
- Memory layers use a trainable key-value lookup mechanism to add extra parameters to a model without increasing FLOPs. Conceptually, spars…☆314Updated 4 months ago
- [NeurIPS 2024] Official Repository of The Mamba in the Llama: Distilling and Accelerating Hybrid Models☆212Updated last week
- The official implementation of the paper "What Matters in Transformers? Not All Attention is Needed".☆166Updated 2 weeks ago
- PyTorch Implementation of Jamba: "Jamba: A Hybrid Transformer-Mamba Language Model"☆166Updated last week
- Repo for "LoLCATs: On Low-Rank Linearizing of Large Language Models"☆230Updated 2 months ago
- Unofficial implementation for the paper "Mixture-of-Depths: Dynamically allocating compute in transformer-based language models"☆156Updated 9 months ago
- Code for "LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding", ACL 2024☆284Updated last month
- LongRoPE is a novel method that can extends the context window of pre-trained LLMs to an impressive 2048k tokens.☆217Updated 7 months ago
- Q-GaLore: Quantized GaLore with INT4 Projection and Layer-Adaptive Low-Rank Gradients.☆196Updated 8 months ago
- Block Transformer: Global-to-Local Language Modeling for Fast Inference (NeurIPS 2024)☆151Updated 3 months ago
- Tree Attention: Topology-aware Decoding for Long-Context Attention on GPU clusters☆125Updated 4 months ago
- Pytorch implementation of the PEER block from the paper, Mixture of A Million Experts, by Xu Owen He at Deepmind☆123Updated 7 months ago
- A framework to study AI models in Reasoning, Alignment, and use of Memory (RAM).☆215Updated last week
- Chain of Experts (CoE) enables communication between experts within Mixture-of-Experts (MoE) models☆155Updated last month
- Normalized Transformer (nGPT)☆167Updated 4 months ago
- Some preliminary explorations of Mamba's context scaling.☆212Updated last year
- Implementation of 🥥 Coconut, Chain of Continuous Thought, in Pytorch☆164Updated 3 months ago
- ☆182Updated this week
- A family of compressed models obtained via pruning and knowledge distillation☆333Updated 5 months ago
- Training-free Post-training Efficient Sub-quadratic Complexity Attention. Implemented with OpenAI Triton.☆128Updated this week
- ☆197Updated 4 months ago
- This is the official repository for the paper "Flora: Low-Rank Adapters Are Secretly Gradient Compressors" in ICML 2024.☆103Updated 9 months ago
- Quick implementation of nGPT, learning entirely on the hypersphere, from NvidiaAI☆278Updated 3 weeks ago
- Token Omission Via Attention☆126Updated 6 months ago
- Implementation of MambaByte in "MambaByte: Token-free Selective State Space Model" in Pytorch and Zeta☆115Updated last week
- Automated Identification of Redundant Layer Blocks for Pruning in Large Language Models☆230Updated 11 months ago
- PB-LLM: Partially Binarized Large Language Models☆151Updated last year
- A MAD laboratory to improve AI architecture designs 🧪☆109Updated 3 months ago
- ☆262Updated last month