Tulu 3 8B
AI2's fully-open post-training recipe applied to Llama 3.1 8B. Open data, open code, open weights.
Overview
AI2's fully-open post-training recipe applied to Llama 3.1 8B. Open data, open code, open weights.
Family & lineage
How this model relates to others in its lineage. Family members share architecture and training-data roots; parent / children edges record direct distillation or fine-tune relationships.
Strengths
- Open data + open recipe
- Strong instruction following
Weaknesses
- Inherits Llama 3.1 base limitations
Quantization variants
Each quantization trades model quality for file size and VRAM. Q4_K_M is the most popular starting point.
| Quantization | File size | VRAM required |
|---|---|---|
| Q4_K_M | 4.9 GB | 7 GB |
Get the model
HuggingFace
Original weights
Source repository — direct quantization required.
Hardware that runs this
Cards with enough VRAM for at least one quantization of Tulu 3 8B.
Frequently asked
What's the minimum VRAM to run Tulu 3 8B?
Can I use Tulu 3 8B commercially?
What's the context length of Tulu 3 8B?
Source: huggingface.co/allenai/Llama-3.1-Tulu-3-8B
Reviewed by RunLocalAI Editorial. See our editorial policy for how we research and verify model claims.
Related — keep moving
Verify Tulu 3 8B runs on your specific hardware before committing money.