AlpinDale / sparsegpt-for-LLaMA
Code for the paper "SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot" with LLaMA implementation.
☆71Updated last year
Alternatives and similar repositories for sparsegpt-for-LLaMA:
Users that are interested in sparsegpt-for-LLaMA are comparing it to the libraries listed below
- Efficient 3bit/4bit quantization of LLaMA models☆19Updated last year
- Landmark Attention: Random-Access Infinite Context Length for Transformers QLoRA☆123Updated last year
- GPTQLoRA: Efficient Finetuning of Quantized LLMs with GPTQ☆99Updated last year
- Model REVOLVER, a human in the loop model mixing system.☆33Updated last year
- ☆40Updated last year
- QuIP quantization☆49Updated 11 months ago
- Full finetuning of large language models without large memory requirements☆93Updated last year
- Code for the paper "QMoE: Practical Sub-1-Bit Compression of Trillion-Parameter Models".☆265Updated last year
- GPT-2 small trained on phi-like data☆65Updated last year
- Code for paper: "QuIP: 2-Bit Quantization of Large Language Models With Guarantees" adapted for Llama models☆36Updated last year
- SparseGPT + GPTQ Compression of LLMs like LLaMa, OPT, Pythia☆41Updated last year
- ☆27Updated last year
- An unsupervised model merging algorithm for Transformers-based language models.☆104Updated 9 months ago
- Automated prompting and scoring framework to evaluate LLMs using updated human knowledge prompts☆111Updated last year
- ☆74Updated last year
- Zeus LLM Trainer is a rewrite of Stanford Alpaca aiming to be the trainer for all Large Language Models☆69Updated last year
- Comprehensive analysis of difference in performance of QLora, Lora, and Full Finetunes.☆82Updated last year
- 5X faster 60% less memory QLoRA finetuning☆21Updated 8 months ago
- MiniHF is an inference, human preference data collection, and fine-tuning tool for local language models. It is intended to help the user…☆164Updated this week
- Code repository for the c-BTM paper☆105Updated last year
- ☆49Updated 11 months ago
- Multipack distributed sampler for fast padding-free training of LLMs☆184Updated 6 months ago
- Demonstration that finetuning RoPE model on larger sequences than the pre-trained model adapts the model context limit☆63Updated last year
- Preprint: Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning☆28Updated last year
- Merge Transformers language models by use of gradient parameters.☆205Updated 6 months ago
- Low-Rank adapter extraction for fine-tuned transformers models☆169Updated 9 months ago
- Spherical Merge Pytorch/HF format Language Models with minimal feature loss.☆115Updated last year
- Instruct-tuning LLaMA on consumer hardware☆66Updated last year
- Code for paper: "QuIP: 2-Bit Quantization of Large Language Models With Guarantees"☆361Updated 11 months ago
- Command-line script for inferencing from models such as MPT-7B-Chat☆101Updated last year