Large language models (LLMs) made easy, EasyLM is a one stop solution for pre-training, finetuning, evaluating and serving LLMs in JAX/Flax.

Meta Lingua: a lean, efficient, and easy-to-hack codebase to research LLMs.

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🤗 Evaluate: A library for easily evaluating machine learning models and datasets.

KAN-TTS is a speech-synthesis training framework, please try the demos we have posted at https://modelscope.cn/models?page=1&tasks=text-to-speech

Banishing LLM Hallucinations Requires Rethinking Generalization

Thai Universal Dependency Treebank

The official Python client for the Huggingface Hub.

🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools

The official Meta Llama 3 GitHub site

Library for fast text representation and classification.

A framework for few-shot evaluation of autoregressive language models.

Hackable implementation of state-of-the-art open-source LLMs based on nanoGPT. Supports flash attention, 4-bit and 8-bit quantization, LoRA and LLaMA-Adapter fine-tuning, pre-training. Apache 2.0-l…