EleutherAI / lm-evaluation-harness
A framework for few-shot evaluation of language models.
☆8,337Updated this week
Alternatives and similar repositories for lm-evaluation-harness:
Users that are interested in lm-evaluation-harness are comparing it to the libraries listed below
- Tools for merging pretrained large language models.☆5,458Updated this week
- Accessible large language models via k-bit quantization for PyTorch.☆6,818Updated this week
- Train transformer language models with reinforcement learning.☆12,719Updated this week
- LMDeploy is a toolkit for compressing, deploying, and serving LLMs.☆5,898Updated this week
- Large Language Model Text Generation Inference☆9,905Updated this week
- SGLang is a fast serving framework for large language models and vision language models.☆12,220Updated this week
- Go ahead and axolotl questions☆8,928Updated this week
- An easy-to-use LLMs quantization package with user-friendly apis, based on GPTQ algorithm.☆4,766Updated this week
- Robust recipes to align language models with human and AI preferences☆5,072Updated 4 months ago
- General technology for enabling AI capabilities w/ LLMs and MLLMs☆3,896Updated this week
- [MLSys 2024 Best Paper Award] AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration☆2,861Updated this week
- QLoRA: Efficient Finetuning of Quantized LLMs☆10,322Updated 9 months ago
- Fast and memory-efficient exact attention☆16,462Updated this week
- [ICLR 2024] Efficient Streaming Language Models with Attention Sinks☆6,831Updated 8 months ago
- LightLLM is a Python-based LLM (Large Language Model) inference and serving framework, notable for its lightweight design, easy scalabili…☆3,042Updated this week
- Retrieval and Retrieval-augmented LLMs☆9,063Updated this week
- PyTorch native post-training library☆5,014Updated this week
- Holistic Evaluation of Language Models (HELM), a framework to increase the transparency of language models (https://arxiv.org/abs/2211.09…☆2,131Updated this week
- Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We als…☆16,483Updated this week
- 🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.☆17,837Updated this week
- Medusa: Simple Framework for Accelerating LLM Generation with Multiple Decoding Heads☆2,466Updated 8 months ago
- AutoAWQ implements the AWQ algorithm for 4-bit quantization with a 2x speedup during inference. Documentation:☆2,021Updated 2 weeks ago
- An Easy-to-use, Scalable and High-performance RLHF Framework (70B+ PPO Full Tuning & Iterative DPO & LoRA & RingAttention & RFT)☆5,819Updated this week
- Simple and efficient pytorch-native transformer text generation in <1000 LOC of python.☆5,892Updated last week
- A high-throughput and memory-efficient inference and serving engine for LLMs☆42,344Updated this week
- MTEB: Massive Text Embedding Benchmark☆2,338Updated this week
- Multi-LoRA inference server that scales to 1000s of fine-tuned LLMs☆2,802Updated 2 weeks ago
- TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and build TensorRT engines that contain…☆9,762Updated this week
- 20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.☆11,841Updated this week
- Aligning pretrained language models with instruction data generated by themselves.☆4,314Updated last year