arcee-ai / PruneMeLinks
Automated Identification of Redundant Layer Blocks for Pruning in Large Language Models
☆256Updated last year
Alternatives and similar repositories for PruneMe
Users that are interested in PruneMe 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
- A family of compressed models obtained via pruning and knowledge distillation☆357Updated 3 weeks ago
- A library for easily merging multiple LLM experts, and efficiently train the merged LLM.☆498Updated last year
- EvolKit is an innovative framework designed to automatically enhance the complexity of instructions used for fine-tuning Large Language M…☆243Updated last year
- Spherical Merge Pytorch/HF format Language Models with minimal feature loss.☆141Updated 2 years ago
- An efficent implementation of the method proposed in "The Era of 1-bit LLMs"☆155Updated last year
- Load multiple LoRA modules simultaneously and automatically switch the appropriate combination of LoRA modules to generate the best answe…☆157Updated last year
- Low-Rank adapter extraction for fine-tuned transformers models☆179Updated last year
- The Truth Is In There: Improving Reasoning in Language Models with Layer-Selective Rank Reduction☆389Updated last year
- GPTQLoRA: Efficient Finetuning of Quantized LLMs with GPTQ☆102Updated 2 years ago
- A compact LLM pretrained in 9 days by using high quality data☆334Updated 7 months ago
- Official PyTorch implementation of QA-LoRA☆145Updated last year
- This is our own implementation of 'Layer Selective Rank Reduction'☆240Updated last year
- For releasing code related to compression methods for transformers, accompanying our publications☆452Updated 10 months ago
- ☆235Updated last year
- Code for paper: "QuIP: 2-Bit Quantization of Large Language Models With Guarantees"☆390Updated last year
- A pipeline for LLM knowledge distillation☆110Updated 8 months ago
- ☆203Updated 11 months ago
- Code for "LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding", ACL 2024☆347Updated 7 months ago
- [ACL 2025 Main] EfficientQAT: Efficient Quantization-Aware Training for Large Language Models☆316Updated last week
- A high-throughput and memory-efficient inference and serving engine for LLMs☆267Updated last year
- Repo for "LoLCATs: On Low-Rank Linearizing of Large Language Models"☆249Updated 10 months ago
- ☆138Updated 3 months ago
- A bagel, with everything.☆325Updated last year
- ☆569Updated last year
- Code for the paper "QMoE: Practical Sub-1-Bit Compression of Trillion-Parameter Models".☆278Updated 2 years ago
- Multipack distributed sampler for fast padding-free training of LLMs☆202Updated last year
- 1.58-bit LLaMa model☆83Updated last year
- Parameter-Efficient Sparsity Crafting From Dense to Mixture-of-Experts for Instruction Tuning on General Tasks (EMNLP'24)☆147Updated last year
- Manage scalable open LLM inference endpoints in Slurm clusters☆277Updated last year