astramind-ai / BitMatLinks
An efficent implementation of the method proposed in "The Era of 1-bit LLMs"
☆154Updated last year
Alternatives and similar repositories for BitMat
Users that are interested in BitMat are comparing it to the libraries listed below
Sorting:
- Q-GaLore: Quantized GaLore with INT4 Projection and Layer-Adaptive Low-Rank Gradients.☆202Updated last year
- Code for the paper "QMoE: Practical Sub-1-Bit Compression of Trillion-Parameter Models".☆277Updated 2 years ago
- PB-LLM: Partially Binarized Large Language Models☆156Updated last year
- ☆202Updated 11 months ago
- Tree Attention: Topology-aware Decoding for Long-Context Attention on GPU clusters☆130Updated 11 months ago
- ☆136Updated last year
- RWKV-7: Surpassing GPT☆98Updated 11 months ago
- QuIP quantization☆59Updated last year
- PyTorch implementation of models from the Zamba2 series.☆185Updated 9 months ago
- Repo for "LoLCATs: On Low-Rank Linearizing of Large Language Models"☆249Updated 9 months ago
- Automated Identification of Redundant Layer Blocks for Pruning in Large Language Models☆253Updated last year
- A high-throughput and memory-efficient inference and serving engine for LLMs☆266Updated last year
- Code for paper: "QuIP: 2-Bit Quantization of Large Language Models With Guarantees"☆385Updated last year
- Inference of Mamba models in pure C☆192Updated last year
- Lightweight toolkit package to train and fine-tune 1.58bit Language models☆98Updated 5 months ago
- Experiments on speculative sampling with Llama models☆126Updated 2 years ago
- 1.58-bit LLaMa model☆83Updated last year
- Collection of autoregressive model implementation☆86Updated 6 months ago
- Work in progress.☆75Updated 4 months ago
- ☆153Updated 4 months ago
- Micro Llama is a small Llama based model with 300M parameters trained from scratch with $500 budget☆161Updated 3 months ago
- This is our own implementation of 'Layer Selective Rank Reduction'☆239Updated last year
- Advanced Ultra-Low Bitrate Compression Techniques for the LLaMA Family of LLMs☆110Updated last year
- GPTQLoRA: Efficient Finetuning of Quantized LLMs with GPTQ☆102Updated 2 years ago
- RWKV in nanoGPT style☆194Updated last year
- ☆565Updated last year
- scalable and robust tree-based speculative decoding algorithm☆361Updated 9 months ago
- Token Omission Via Attention☆127Updated last year
- Google TPU optimizations for transformers models☆122Updated 9 months ago
- [ACL 2025 Main] EfficientQAT: Efficient Quantization-Aware Training for Large Language Models☆308Updated 5 months ago