Pleias / Various-FinetuningLinks
Set of scripts to finetune LLMs
☆38Updated last year
Alternatives and similar repositories for Various-Finetuning
Users that are interested in Various-Finetuning are comparing it to the libraries listed below
Sorting:
- ☆138Updated 3 months ago
- ☆136Updated last year
- ☆86Updated last year
- Fully fine-tune large models like Mistral, Llama-2-13B, or Qwen-14B completely for free☆232Updated last year
- ☆55Updated last year
- Collection of autoregressive model implementation☆86Updated 7 months ago
- Q-GaLore: Quantized GaLore with INT4 Projection and Layer-Adaptive Low-Rank Gradients.☆202Updated last year
- Using open source LLMs to build synthetic datasets for direct preference optimization☆70Updated last year
- Repo hosting codes and materials related to speeding LLMs' inference using token merging.☆37Updated last month
- Just a bunch of benchmark logs for different LLMs☆119Updated last year
- An introduction to LLM Sampling☆79Updated 11 months ago
- ☆120Updated last year
- A single repo with all scripts and utils to train / fine-tune the Mamba model with or without FIM☆60Updated last year
- ☆67Updated last year
- Optimizing Causal LMs through GRPO with weighted reward functions and automated hyperparameter tuning using Optuna☆59Updated last month
- EvolKit is an innovative framework designed to automatically enhance the complexity of instructions used for fine-tuning Large Language M…☆243Updated last year
- Notus is a collection of fine-tuned LLMs using SFT, DPO, SFT+DPO, and/or any other RLHF techniques, while always keeping a data-first app…☆170Updated last year
- Lightweight toolkit package to train and fine-tune 1.58bit Language models☆100Updated 6 months ago
- Simple GRPO scripts and configurations.☆59Updated 9 months ago
- Code for NeurIPS LLM Efficiency Challenge☆59Updated last year
- Official repo for the paper PHUDGE: Phi-3 as Scalable Judge. Evaluate your LLMs with or without custom rubric, reference answer, absolute…☆51Updated last year
- OpenCoconut implements a latent reasoning paradigm where we generate thoughts before decoding.☆173Updated 10 months ago
- Small and Efficient Mathematical Reasoning LLMs☆72Updated last year
- an implementation of Self-Extend, to expand the context window via grouped attention☆119Updated last year
- Data preparation code for Amber 7B LLM☆93Updated last year
- Manage scalable open LLM inference endpoints in Slurm clusters☆277Updated last year
- Mixing Language Models with Self-Verification and Meta-Verification☆110Updated 11 months ago
- Lightweight demos for finetuning LLMs. Powered by 🤗 transformers and open-source datasets.☆78Updated last year
- ☆78Updated last year
- ☆52Updated 9 months ago