Large language models (LLMs) made easy, EasyLM is a one stop solution for pre-training, finetuning, evaluating and serving LLMs in JAX/Flax. EasyLM can scale up LLM training to hundreds of TPU/GPU accelerators by leveraging JAX's pjit functionality.

Building on top of Hugginface's transformers and datasets, this repo provides an easy to use and easy... See more

pair-preference-model-LLaMA3-8B by RLHFlow: Really strong reward model, trained to take in two inputs at once, which is the top open reward model on RewardBench (beating one of Cohere’s).

DeepSeek-V2 by deepseek-ai (21B active, 236B total param.): Another strong MoE base model from the DeepSeek team. Some people are questioning the very high MMLU... See more

4. Introducing Stable LM 3B: Bringing Sustainable, High-Performance Language Models to Smart Devices

Stability AI introduced Stable LM 3B, a high-performing language model designed for smart devices. With 3 billion parameters, it outperforms state-of-the-art 3B models and reduces operating costs and power consumption. The model enables a broader... See more

GPT4All: An ecosystem of open-source on-edge large language models.

Important

GPT4All v2.5.0 and newer only supports models in GGUF format (.gguf). Models used with a previous version of GPT4All (.bin extension) will no longer work.

GPT4All is an ecosystem to run powerful and customized large language models that work locally on consumer grade CPUs... See more