kuleshov-group / llmtools
Finetuning Large Language Models on One Consumer GPU in 2 Bits
☆720Updated 10 months ago
Alternatives and similar repositories for llmtools:
Users that are interested in llmtools are comparing it to the libraries listed below
- Tune any FALCON in 4-bit☆466Updated last year
- ☆535Updated last year
- ☆543Updated 3 months ago
- Extend existing LLMs way beyond the original training length with constant memory usage, without retraining☆692Updated 11 months ago
- YaRN: Efficient Context Window Extension of Large Language Models☆1,456Updated 11 months ago
- ☆458Updated last year
- LOMO: LOw-Memory Optimization☆982Updated 9 months ago
- LaMini-LM: A Diverse Herd of Distilled Models from Large-Scale Instructions☆820Updated last year
- Customizable implementation of the self-instruct paper.☆1,040Updated last year
- [ICML 2024] SqueezeLLM: Dense-and-Sparse Quantization☆683Updated 7 months ago
- ☆412Updated last year
- Ungreedy subword tokenizer and vocabulary trainer for Python, Go & Javascript☆575Updated 9 months ago
- Fine-tune mistral-7B on 3090s, a100s, h100s☆709Updated last year
- Code for fine-tuning Platypus fam LLMs using LoRA☆628Updated last year
- ☆1,465Updated last year
- batched loras☆340Updated last year
- [ACL2023] We introduce LLM-Blender, an innovative ensembling framework to attain consistently superior performance by leveraging the dive…☆927Updated 5 months ago
- C++ implementation for 💫StarCoder☆453Updated last year
- This repository contains code to quantitatively evaluate instruction-tuned models such as Alpaca and Flan-T5 on held-out tasks.☆544Updated last year
- ggml implementation of BERT☆486Updated last year
- A bagel, with everything.☆317Updated 11 months ago
- Salesforce open-source LLMs with 8k sequence length.☆716Updated 2 months ago
- Code for the ICLR 2023 paper "GPTQ: Accurate Post-training Quantization of Generative Pretrained Transformers".☆2,067Updated last year
- Landmark Attention: Random-Access Infinite Context Length for Transformers☆422Updated last year
- Alpaca dataset from Stanford, cleaned and curated☆1,545Updated last year
- Fast Inference Solutions for BLOOM☆562Updated 5 months ago
- A collection of open-source dataset to train instruction-following LLMs (ChatGPT,LLaMA,Alpaca)☆1,113Updated last year
- [NeurIPS 2023] MeZO: Fine-Tuning Language Models with Just Forward Passes. https://arxiv.org/abs/2305.17333☆1,099Updated last year
- [ICLR 2024] Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning☆598Updated last year
- Inference code for Mistral and Mixtral hacked up into original Llama implementation☆371Updated last year