NVlabs / MinitronLinks
A family of compressed models obtained via pruning and knowledge distillation
☆352Updated 10 months ago
Alternatives and similar repositories for Minitron
Users that are interested in Minitron are comparing it to the libraries listed below
Sorting:
- Code for "LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding", ACL 2024☆338Updated 5 months ago
- For releasing code related to compression methods for transformers, accompanying our publications☆446Updated 8 months ago
- ☆230Updated last year
- Official PyTorch implementation of QA-LoRA☆141Updated last year
- [ICLR 2025] DuoAttention: Efficient Long-Context LLM Inference with Retrieval and Streaming Heads☆493Updated 7 months ago
- Efficient LLM Inference over Long Sequences☆391Updated 3 months ago
- Unofficial implementation for the paper "Mixture-of-Depths: Dynamically allocating compute in transformer-based language models"☆172Updated last year
- Automated Identification of Redundant Layer Blocks for Pruning in Large Language Models☆248Updated last year
- The Truth Is In There: Improving Reasoning in Language Models with Layer-Selective Rank Reduction☆388Updated last year
- [NeurIPS 2024] KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization☆383Updated last year
- Explorations into some recent techniques surrounding speculative decoding☆286Updated 9 months ago
- Q-GaLore: Quantized GaLore with INT4 Projection and Layer-Adaptive Low-Rank Gradients.☆201Updated last year
- The official implementation of the paper "What Matters in Transformers? Not All Attention is Needed".☆176Updated 6 months ago
- A repository dedicated to evaluating the performance of quantizied LLaMA3 using various quantization methods..☆195Updated 8 months ago
- Official PyTorch implementation of DistiLLM: Towards Streamlined Distillation for Large Language Models (ICML 2024)☆232Updated 6 months ago
- [ACL 2025 Main] EfficientQAT: Efficient Quantization-Aware Training for Large Language Models☆304Updated 4 months ago
- [ICML'24] Data and code for our paper "Training-Free Long-Context Scaling of Large Language Models"☆439Updated 11 months ago
- PyTorch implementation of Infini-Transformer from "Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attention…☆291Updated last year
- ☆202Updated 10 months ago
- [ICLR 2024] Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning☆631Updated last year
- Implementation of the LongRoPE: Extending LLM Context Window Beyond 2 Million Tokens Paper☆149Updated last year
- [ICML 2024] CLLMs: Consistency Large Language Models☆404Updated 10 months ago
- Repo for "LoLCATs: On Low-Rank Linearizing of Large Language Models"☆246Updated 8 months ago
- Repo for Rho-1: Token-level Data Selection & Selective Pretraining of LLMs.☆434Updated last year
- Unofficial PyTorch/🤗Transformers(Gemma/Llama3) implementation of Leave No Context Behind: Efficient Infinite Context Transformers with I…☆369Updated last year
- [ICML 2024] KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache☆326Updated last week
- Implementation of Speculative Sampling as described in "Accelerating Large Language Model Decoding with Speculative Sampling" by Deepmind☆101Updated last year
- ☆128Updated last year
- [NeurIPS 24 Spotlight] MaskLLM: Learnable Semi-structured Sparsity for Large Language Models☆177Updated 9 months ago
- Easy and Efficient Quantization for Transformers☆203Updated 3 months ago