Tulu
Ai2 fine-tunes of Llama with a fully open recipe: data, code and all intermediate stages. Tulu 3 405B is one of the largest openly fine-tuned models; OLMo chat versions use the same recipe.
- Developer
- Ai2, USA
- First release
- Jun 2023
- Latest release
- Feb 2025
- Sizes
- 7B – 405B
- License
- Commercial use with conditionsTulu 3: Llama 3.1 Community License; Tulu 2: Ai2 ImpACT Low-Risk; the first version was released as weight deltas to LLaMA 1
- Russian
- Not supported
- Ready-made builds
- GGUF
- Running
- Available in OllamaNeeds a GPU
- Industries
- Science and research, Customer support
What it does
- Employee assistant on your own server
- Math and precise instruction following
- Reference recipe for your own fine-tuning
Where it is used
Hardware requirements
Versions
- Tulu 3.1 8B
- Tulu 3 405B
- Tulu 3 (Llama 3.1 8B / 70B)
- Tulu 2 и Tulu 2 DPO (Llama 2, до 70B)
- Tulu (LLaMA, разница весов)
How to run it
I can set this up end to end: pick the model size, deploy it on your server and connect it to your systems. Quantization compresses a model so it takes less video memory and runs on more modest hardware. Answers change slightly, so quality is checked on your own examples.
Frequently asked questions
Can Tulu be used in a commercial project?
With conditions. License: Tulu 3: Llama 3.1 Community License; Tulu 2: Ai2 ImpACT Low-Risk; the first version was released as weight deltas to LLaMA 1. Restrictions vary — region, company revenue, attribution requirements. Have a lawyer check the terms before a commercial launch.
What hardware does Tulu need?
At minimum: Laptop or regular PC, up to 8 GB of VRAM — smaller versions. Without a GPU the model is not practical. You can calculate the exact VRAM for your model size and context in the hardware calculator.
Does Tulu support Russian?
No. The model card lists its languages and Russian is not among them.
Where can I download Tulu and what does it cost?
The Tulu weights are open and free to download. You only pay for the hardware it runs on and for the setup. Source links are at the bottom of this page.
How I deploy it for clients
- SelectionI pick the model size for your task and hardware and test it on your examples.
- DeploymentI deploy it on your server or in a closed network and provide an API.
- Fine-tuningI fine-tune it on your data (LoRA) or connect a knowledge base — whichever is cheaper for the task.
- IntegrationI connect it to your CRM, ERP, bot, website or team chat and set up monitoring.
Similar models
Fully open models: not only the weights but also the data, training code and intermediate checkpoints are published. Useful when transparent provenance matters.
DetailsTextLlamaMeta · USACommercial use with conditionsThe models that started mass open source in AI. A huge ecosystem of fine-tuned versions and tools.
DetailsTextHermesNous Research · USACommercial use with conditionsNous Research fine-tunes on top of Llama, Mistral, Qwen and Seed-OSS. Valued for precise instruction following, function calling and strict JSON output; they refuse less often than the originals; Hermes 4 has a reasoning mode.
DetailsSource: huggingface.co/allenai/Llama-3.1-Tulu-3.1-8B. Data checked against the model card on 22 Sep 2026. Have a lawyer review the license before commercial launch.


