Pinned Repositories
.github
kuberay
A toolkit to run Ray applications on Kubernetes
lit-gpt
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-licensed.
lm-buddy
Your buddy in the (L)LM space.
lm-evaluation-harness
A framework for few-shot evaluation of autoregressive language models.
lumigator
Source code for Mozilla.ai's Lumigator platform
lumigator-demo
A collection of Jupyter notebooks and scripts showcasing Lumigator's functionalities
neurips-eval-infra
Model training/serving and HELM eval server for NeurIPS evals
ray
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Mozilla.ai's Repositories
mozilla-ai/lm-buddy
Your buddy in the (L)LM space.
mozilla-ai/lumigator
Source code for Mozilla.ai's Lumigator platform
mozilla-ai/neurips-eval-infra
Model training/serving and HELM eval server for NeurIPS evals
mozilla-ai/lumigator-demo
A collection of Jupyter notebooks and scripts showcasing Lumigator's functionalities
mozilla-ai/.github
mozilla-ai/lit-gpt
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-licensed.
mozilla-ai/lm-evaluation-harness
A framework for few-shot evaluation of autoregressive language models.
mozilla-ai/kuberay
A toolkit to run Ray applications on Kubernetes
mozilla-ai/ray
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.