IST-DASLab / qmoe
Code for the paper "QMoE: Practical Sub-1-Bit Compression of Trillion-Parameter Models".
☆262Updated last year
Related projects ⓘ
Alternatives and complementary repositories for qmoe
- Code for paper: "QuIP: 2-Bit Quantization of Large Language Models With Guarantees"☆350Updated 8 months ago
- ☆184Updated last month
- Official PyTorch implementation of QA-LoRA☆117Updated 8 months ago
- An efficent implementation of the method proposed in "The Era of 1-bit LLMs"☆154Updated last month
- For releasing code related to compression methods for transformers, accompanying our publications☆372Updated last month
- PB-LLM: Partially Binarized Large Language Models☆148Updated last year
- [ICML 2024] CLLMs: Consistency Large Language Models☆353Updated this week
- scalable and robust tree-based speculative decoding algorithm☆315Updated 3 months ago
- Q-GaLore: Quantized GaLore with INT4 Projection and Layer-Adaptive Low-Rank Gradients.☆173Updated 4 months ago
- [NeurIPS 2024] KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization☆305Updated 3 months ago
- Fast Matrix Multiplications for Lookup Table-Quantized LLMs☆187Updated this week
- Tree Attention: Topology-aware Decoding for Long-Context Attention on GPU clusters☆104Updated last month
- Repo for "LoLCATs: On Low-Rank Linearizing of Large Language Models"☆177Updated last month
- ☆505Updated 3 weeks ago
- Experiments on speculative sampling with Llama models☆118Updated last year
- GPTQ inference Triton kernel☆284Updated last year
- ☆175Updated this week
- Positional Skip-wise Training for Efficient Context Window Extension of LLMs to Extremely Length (ICLR 2024)☆199Updated 6 months ago
- The Truth Is In There: Improving Reasoning in Language Models with Layer-Selective Rank Reduction☆370Updated 4 months ago
- EfficientQAT: Efficient Quantization-Aware Training for Large Language Models☆224Updated last month
- Automated Identification of Redundant Layer Blocks for Pruning in Large Language Models☆196Updated 6 months ago
- 🚀 Efficiently (pre)training foundation models with native PyTorch features, including FSDP for training and SDPA implementation of Flash…☆193Updated this week
- Unofficial implementation for the paper "Mixture-of-Depths: Dynamically allocating compute in transformer-based language models"☆134Updated 5 months ago
- Multipack distributed sampler for fast padding-free training of LLMs☆178Updated 3 months ago
- Code for exploring Based models from "Simple linear attention language models balance the recall-throughput tradeoff"☆214Updated 3 months ago
- [ICML 2024] SqueezeLLM: Dense-and-Sparse Quantization☆649Updated 3 months ago
- ☆199Updated 5 months ago
- A family of compressed models obtained via pruning and knowledge distillation☆283Updated last week
- Implementation of 💍 Ring Attention, from Liu et al. at Berkeley AI, in Pytorch☆476Updated 3 weeks ago
- batched loras☆336Updated last year