NVlabs / MinitronLinks
A family of compressed models obtained via pruning and knowledge distillation
☆343Updated 7 months ago
Alternatives and similar repositories for Minitron
Users that are interested in Minitron are comparing it to the libraries listed below
Sorting:
- ☆223Updated last year
- For releasing code related to compression methods for transformers, accompanying our publications☆431Updated 5 months ago
- Official PyTorch implementation of QA-LoRA☆137Updated last year
- [ICLR 2024] Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning☆617Updated last year
- Official PyTorch implementation of DistiLLM: Towards Streamlined Distillation for Large Language Models (ICML 2024)☆221Updated 3 months ago
- Explorations into some recent techniques surrounding speculative decoding☆269Updated 6 months ago
- Automated Identification of Redundant Layer Blocks for Pruning in Large Language Models☆238Updated last year
- ☆198Updated 6 months ago
- Unofficial implementation for the paper "Mixture-of-Depths: Dynamically allocating compute in transformer-based language models"☆163Updated last year
- [ICLR 2025] DuoAttention: Efficient Long-Context LLM Inference with Retrieval and Streaming Heads☆466Updated 4 months ago
- Code for "LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding", ACL 2024☆311Updated last month
- Q-GaLore: Quantized GaLore with INT4 Projection and Layer-Adaptive Low-Rank Gradients.☆198Updated 11 months ago
- Code repo for the paper "SpinQuant LLM quantization with learned rotations"☆288Updated 4 months ago
- [ACL 2025 Main] EfficientQAT: Efficient Quantization-Aware Training for Large Language Models☆273Updated last month
- [NeurIPS 2024] KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization☆359Updated 10 months ago
- Code repo for the paper "LLM-QAT Data-Free Quantization Aware Training for Large Language Models"☆300Updated 3 months ago
- OLMoE: Open Mixture-of-Experts Language Models☆785Updated 3 months ago
- Repo for Rho-1: Token-level Data Selection & Selective Pretraining of LLMs.☆421Updated last year
- A simple and effective LLM pruning approach.☆763Updated 10 months ago
- Efficient LLM Inference over Long Sequences☆378Updated 2 weeks ago
- [ICML 2024] KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache☆303Updated 5 months ago
- A repository dedicated to evaluating the performance of quantizied LLaMA3 using various quantization methods..☆189Updated 5 months ago
- Implementation of DoRA☆294Updated last year
- Code for paper: "QuIP: 2-Bit Quantization of Large Language Models With Guarantees"☆370Updated last year
- PyTorch implementation of Infini-Transformer from "Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attention…☆289Updated last year
- 🚀 Efficiently (pre)training foundation models with native PyTorch features, including FSDP for training and SDPA implementation of Flash…☆253Updated this week
- [NeurIPS 24 Spotlight] MaskLLM: Learnable Semi-structured Sparsity for Large Language Models☆168Updated 5 months ago
- [ICLR2024 spotlight] OmniQuant is a simple and powerful quantization technique for LLMs.☆819Updated last month
- The official implementation of the paper "What Matters in Transformers? Not All Attention is Needed".☆173Updated 2 months ago
- [NeurIPS'24 Spotlight, ICLR'25, ICML'25] To speed up Long-context LLMs' inference, approximate and dynamic sparse calculate the attention…☆1,055Updated last week