Open source alternative to OpenAI, Google Cloud Vertex AI (Gemini) and Anthropic (Claude)
Last verified
Run Apache-licensed LLaMA-style weights in 3B, 7B, and 13B sizes for Hugging Face or EasyLM workflows.
OpenLLaMA gives labs a known LLaMA-style baseline for controlled experiments across sizes and frameworks.
Use a newer open model if your goal is production answer quality rather than reproducible research.
Teams can use OpenLLaMA to test inference, fine-tuning, conversion, and evaluation pipelines without relying on a closed API.
Skip it if your system requires current instruction-following performance or commercial support.
Proprietary or restricted-weight LLMs make it hard to reproduce research, inspect training choices, or run controlled experiments. Teams can call an API, but they cannot easily compare tokenizer choices, pretraining data, fine-tuning methods, or deployment behavior against an accessible baseline.
Open-weight models help, but they age quickly. Researchers need to know whether they are choosing a current production model or a reproducible reference point.
OpenLLaMA was created as an open reproduction of Meta's LLaMA family, giving researchers a downloadable model family for experimentation.
The project published 3B, 7B, and 13B parameter versions, which lets teams choose between smaller experiments and larger baseline comparisons.
The project publishes PyTorch weights for Hugging Face Transformers and JAX weights for EasyLM, covering two common research and deployment stacks.
The project README states that the EasyLM training framework and OpenLLaMA checkpoint weights are permissively licensed under Apache-2.0. Teams should still review the exact Hugging Face model page before commercial use.
No. OpenLLaMA is an open reproduction inspired by LLaMA-style models, not an official Meta model release.
OpenLLaMA is commonly associated with 3B, 7B, and 13B parameter model releases.
Usually no for new production apps. It is more useful as a research baseline or infrastructure test model than as a current best-performing LLM.
Alternative to
OpenAI
Alibaba's Apache 2.0 LLM in sizes from small to frontier scale
Alternative to
ChatGPT
One self-hosted interface for every AI model you use
Alternative to
Picovoice
14MB on-device LLM for tool calling on edge devices
Alternative toOpenAI
Allen AI research LLM with public weights and open training code
Alternative toOpenAI
1B Chinese LLM with public weights, training code, and data
Alternative toOpenAI
Compact 1.1B LLaMA model trained on 3 trillion tokens
Run OpenLLaMA on your own server
Self-host OpenLLaMA on a Hostinger VPS.
Deploy on HostingerFeatured
Alternative to
Grok Bot
AI teammates you own: your keys, your model, your machine.
Alternative toClaude Managed Agents
Open-source agent deployment API. Self-host or use Omnara Cloud.
Alternative to
Superhuman
AI email assistant that drafts replies and clears your inbox
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