allenai / OLMoLinks
Modeling, training, eval, and inference code for OLMo
☆5,822Updated last week
Alternatives and similar repositories for OLMo
Users that are interested in OLMo are comparing it to the libraries listed below
Sorting:
- PyTorch native post-training library☆5,366Updated this week
- Simple and efficient pytorch-native transformer text generation in <1000 LOC of python.☆6,036Updated 3 months ago
- ☆4,088Updated last year
- Tools for merging pretrained large language models.☆6,122Updated this week
- AllenAI's post-training codebase☆3,083Updated this week
- Robust recipes to align language models with human and AI preferences☆5,289Updated this week
- A framework for few-shot evaluation of language models.☆9,706Updated this week
- The TinyLlama project is an open endeavor to pretrain a 1.1B Llama model on 3 trillion tokens.☆8,667Updated last year
- The official PyTorch implementation of Google's Gemma models☆5,518Updated 2 months ago
- A PyTorch native platform for training generative AI models☆4,125Updated this week
- Go ahead and axolotl questions☆10,095Updated this week
- DataComp for Language Models☆1,342Updated 4 months ago
- Data and tools for generating and inspecting OLMo pre-training data.☆1,279Updated last week
- An efficient, flexible and full-featured toolkit for fine-tuning LLM (InternLM2, Llama3, Phi3, Qwen, Mistral, ...)☆4,671Updated 3 weeks ago
- Freeing data processing from scripting madness by providing a set of platform-agnostic customizable pipeline processing blocks.☆2,516Updated this week
- Training LLMs with QLoRA + FSDP☆1,524Updated 8 months ago
- Minimal, clean code for the Byte Pair Encoding (BPE) algorithm commonly used in LLM tokenization.☆9,786Updated last year
- Minimalistic large language model 3D-parallelism training☆2,068Updated 3 weeks ago
- GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection☆1,579Updated 9 months ago
- An Easy-to-use, Scalable and High-performance RLHF Framework based on Ray (PPO & GRPO & REINFORCE++ & vLLM & Ray & Dynamic Sampling & Asy…☆7,552Updated this week
- A family of open-sourced Mixture-of-Experts (MoE) Large Language Models☆1,568Updated last year
- Distilabel is a framework for synthetic data and AI feedback for engineers who need fast, reliable and scalable pipelines based on verifi…☆2,821Updated this week
- Gemma open-weight LLM library, from Google DeepMind☆3,569Updated this week
- OpenCompass is an LLM evaluation platform, supporting a wide range of models (Llama3, Mistral, InternLM2,GPT-4,LLaMa2, Qwen,GLM, Claude, …☆5,782Updated this week
- 20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.☆12,564Updated last week
- Reference implementation for DPO (Direct Preference Optimization)☆2,678Updated 11 months ago
- ☆3,886Updated 3 weeks ago
- QLoRA: Efficient Finetuning of Quantized LLMs☆10,583Updated last year
- Accessible large language models via k-bit quantization for PyTorch.☆7,400Updated last week
- AutoAWQ implements the AWQ algorithm for 4-bit quantization with a 2x speedup during inference. Documentation:☆2,221Updated 2 months ago