Llama 3.1 Tülu 3.1 8B
Llama 3.1 Tülu 3.1 8B is an open-weight model release in the Tülu family from Ai2 (Allen Institute for AI)1, version Llama-3.1-Tulu-3.1-8B. Its weights can be downloaded by the public12 under the Llama 3.1 Community License Agreement16.
An 8B instruction-following model from Ai2's Tülu 3 line, post-trained from Meta's Llama 3.1 8B base model through supervised fine-tuning and DPO, then reinforcement learning with verifiable rewards. Version 3.1 differs from the original Tülu 3 8B only in the final RL stage, which switched from PPO to GRPO (without a reward model) with further hyperparameter tuning.124
- Model hub: Model card (Hugging Face) (external site: huggingface.co)
- Repository: open-instruct (training code) (external site: github.com)
- Repository: OLMES (evaluation code) (external site: github.com)
- Paper: Tülu 3 technical report (arXiv 2411.15124) (external site: arxiv.org)
On AI on Hugging Face: allenai/Llama-3.1-Tulu-3.1-8B, allenai/Llama-3.1-Tulu-3-8B-SFT, allenai/tulu-3-sft-mixture
Availability and license
Overall availability
Downloadable from Hugging Face without gating, under the Llama 3.1 Community License Agreement.1
Availability is separate from permission: read the license before using or redistributing.
Llama 3.1 Community License Agreement (external site: raw.githubusercontent.com)16
Plain-language guide to the Llama 3.1 Community License AgreementApache License 2.0 (open-instruct) (external site: raw.githubusercontent.com)5
Plain-language guide to the Apache License 2.0
The weights inherit Meta's Llama 3.1 Community License, a custom license that requires displaying "Built with Llama", starting derived model names with "Llama", following Meta's Acceptable Use Policy, and a separate license from Meta for licensees whose products had more than 700 million monthly active users on the Llama 3.1 release date. The Tülu 3 SFT mixture is ODC-BY but includes subsets under other licenses, some non-commercial, and outputs of third-party models.623
Component reuse rights
- weights
- Unknown — no complete fact-level rights review
- code
- Unknown — no complete fact-level rights review
- data
- Unknown — no complete fact-level rights review
- documentation
- Unknown — no complete fact-level rights review
No complete system-rights review is recorded for this release.
Model-disclosure tier
The model parameters for this release can be downloaded by the public. License terms may still restrict use, redistribution, or commercial use.
The weights are under a license that is not on the rubric's OSI-approved list. Read its terms before use.
Public materials checklist
| Item | Status | Notes and evidence |
|---|---|---|
| WeightsCan the general public download the model parameters for this release? | Public | Final weights and the preceding SFT and DPO checkpoints are on Hugging Face.12 |
| Inference codeIs code for running the model published? | Public | The card documents loading with Hugging Face Transformers and serving with vLLM.1 |
| Training codeIs the code used to train the model published? | Public | Training code is in allenai/open-instruct; the card gives the exact commit and command used for the 3.1 GRPO run.15 |
| Training-data informationDoes the information cover provenance, scope, acquisition, selection, labeling, processing, and where data or alternatives can be obtained? Access alone does not establish completeness. | Unknown | Not assessed. |
| Training-data accessCan the training data be obtained? This is independent of information completeness and reuse rights; original unshareable data need not be downloadable. | Unknown | Not assessed. |
| Complete training pipelineIs the complete base-training and preprocessing pipeline published, including configuration? Fine-tuning code or an inference SDK alone is insufficient. | Unknown | Not assessed. |
| Legacy data assessment (v0.1)Historical assessment combining download access and disclosure. Preserved for traceability; excluded from the v0.2 tier calculation. See the new separate assessments above. | Partial | The post-training data (SFT mixture, 8B preference mixture, and RLVR prompts) is public on Hugging Face, but the card states that the size and composition of the Llama 3.1 pretraining corpus is unknown.1234 |
| Training recipeAre the training configuration and procedure documented in enough detail to follow? | Public | The technical report documents the SFT, DPO, and RLVR recipe; the card lists the GRPO hyperparameters and the final checkpoint step for version 3.1.41 |
| Evaluation materialsPublic = evaluation code or prompts that let others re-run the evaluations are published. Partial = results only. | Public | The card links Ai2's OLMES evaluation repository and shows evaluation scores over training steps; the report describes the Tülu 3 evaluation suite and decontamination.14 |
What it is useful for
The card describes the Tülu 3 models as aimed at chat as well as tasks such as math (MATH, GSM8K) and precise instruction following (IFEval). It notes the models have limited safety training and no built-in response filtering.1
Run and use notes
- The card documents serving with vllm serve allenai/Llama-3.1-Tulu-3.1-8B and suggests --max_model_len=8192 because of the long Llama chat template.1
Organization context
Provenance and derivatives
Fine-tuned by Ai2 from Meta's Llama 3.1 8B base model: first to Llama-3.1-Tulu-3-8B-SFT on the Tülu 3 SFT mixture, then to Llama-3.1-Tulu-3-8B-DPO on the 8B preference mixture, then GRPO on the RLVR-GSM-MATH-IF-Mixed-Constraints prompts. Llama 3.1 was developed by Meta, not by Ai2.124
- Derived from: Llama 3.1 8B (meta-llama/Llama-3.1-8B) — Base model from Meta; catalog link is to the Llama family record.
- Derived from: Llama-3.1-Tulu-3-8B-DPO (external site: huggingface.co) — Immediate parent checkpoint.
- Derived from: Tülu 3 SFT mixture (external site: huggingface.co) — Supervised fine-tuning data (ODC-BY).
Other releases in the Tülu family
No other releases in this family have been assessed.
What this catalog does not know
- Release date: not documented in the sources reviewed.
- Training-data information: unknown.
- Training-data access: unknown.
- Complete training pipeline: unknown.
Have a primary source? How to report a correction.
U.S. eligibility
Eligible · basis: U.S. nonprofit or lab
Post-trained and released by Ai2 (Allen Institute for AI), which describes itself as a Seattle-based non-profit AI research institute. The base model, Llama 3.1 8B, was developed by Meta and is recorded as provenance; Ai2's post-training does not make the base model an Ai2 model.127
Sources
This listing is not an endorsement, a safety assessment, or a federal approval.
Share or cite this page
- X (opens X)
- Bluesky (opens Bluesky)
- LinkedIn (opens LinkedIn)
- Reddit (opens Reddit)
- Hacker News (opens Hacker News)
- Email (opens your email app)
- RSS updates
Cite this page
APA style
USASI. (2026, September 29). Llama 3.1 Tülu 3.1 8B. United States of America Superintelligence. https://unitedstatesofamericasuperintelligence.com/open/llama-3-1-tulu-3-1-8b/
BibTeX
@misc{usasi_llama_3_1_tulu_3_1_8b,
author = {{USASI}},
title = {Llama 3.1 Tülu 3.1 8B},
year = {2026},
month = sep,
howpublished = {\url{https://unitedstatesofamericasuperintelligence.com/open/llama-3-1-tulu-3-1-8b/}},
note = {United States of America Superintelligence. Last updated 2026-09-29}
}The date is when this page was last updated. Add the date you read it if your style needs one.
For maintainers: a “Listed in USASI” badge
Links to this page. It says the entry is listed, not endorsed or rated. About the badge
Markdown (for a README)
[](https://unitedstatesofamericasuperintelligence.com/open/llama-3-1-tulu-3-1-8b/)
HTML
<a href="https://unitedstatesofamericasuperintelligence.com/open/llama-3-1-tulu-3-1-8b/"><img src="https://unitedstatesofamericasuperintelligence.com/badges/listed.svg" alt="Listed in the USASI catalog" height="20"></a>