Model reference · open weights

Llama-3.1-Tulu-3-SFT

Available as managed deployment LLMs allenai Text gen 1 variants 19k dl/mo

Llama-3.1-Tulu-3-SFT is an open-weight language model from allenai. AxForge deploys and operates it for you on dedicated EU-owned hardware — with the licence handled where one is required.

Available as managed deployment — configured and operated for you on dedicated EU hardware, quoted per deployment.

What it is

Makerallenai
TypeLanguage models
TaskText gen
Parameters (lead)8.0B
Context128k tokens
Runs withtransformers
Based onmeta-llama/Llama-3.1-8B
Released2024-11-18
Popularity19k downloads / month
LicenceOpen, with conditions

About

What Llama-3.1-Tulu-3-SFT is

Tülu3 is a leading instruction following model family, offering fully open-source data, code, and recipes designed to serve as a comprehensive guide for modern post-training techniques. Tülu3 is designed for state-of-the-art performance on a diversity of tasks in addition to chat, such as MATH, GSM8K, and IFEval.

Model description

  • Model type: A model trained on a mix of publicly available, synthetic and human-created datasets.
  • Language(s) (NLP): Primarily English
  • License: Llama 3.1 Community License Agreement
  • Finetuned from model: meta-llama/Llama-3.1-8B

Model Sources

  • Training Repository: https://github.com/allenai/open-instruct
  • Eval Repository: https://github.com/allenai/olmes
  • Paper: https://arxiv.org/abs/2411.15124
  • Demo: https://playground.allenai.org/

Model Family

StageLlama 3.1 8BLlama 3.1 70B
Base Modelmeta-llama/Llama-3.1-8Bmeta-llama/Llama-3.1-70B
SFTallenai/Llama-3.1-Tulu-3-8B-SFTallenai/Llama-3.1-Tulu-3-70B-SFT
DPOallenai/Llama-3.1-Tulu-3-8B-DPOallenai/Llama-3.1-Tulu-3-70B-DPO
Final Models (RLVR)allenai/Llama-3.1-Tulu-3-8Ballenai/Llama-3.1-Tulu-3-70B
Reward Model (RM)allenai/Llama-3.1-Tulu-3-8B-RM(Same as 8B)
StageLlama 3.1 405B
Base Modelmeta-llama/llama-3.1-405B
SFTallenai/llama-3.1-Tulu-3-405B-SFT
DPOallenai/llama-3.1-Tulu-3-405B-DPO
Final Model (RLVR)allenai/llama-3.1-Tulu-3-405B
Reward Model (RM)(Same as 8B)

Using the model

Loading with HuggingFace

To load the model with HuggingFace, use the following snippet:

from transformers import AutoModelForCausalLM

tulu_model = AutoModelForCausalLM.from_pretrained("allenai/Llama-3.1-Tulu-3-8B-SFT")

VLLM

As a Llama base model, the model can be easily served with:

vllm serve allenai/Llama-3.1-Tulu-3-8B-SFT

Note that given the long chat template of Llama, you may want to use --max_model_len=8192.

Chat template

The chat template for our models is formatted as:

Or with new lines expanded:

How are you doing?
I'm just a computer program, so I don't have feelings, but I'm functioning as expected. How can I assist you today?

It is embedded within the tokenizer as well, for tokenizer.apply_chat_template.

System prompt

In Ai2 demos, we use this system prompt by default:

You are Tulu 3, a helpful and harmless AI Assistant built by the Allen Institute for AI.

The model has not been trained with a specific system prompt in mind.

Bias, Risks, and Limitations

The Tülu3 models have limited safety training, but are not deployed automatically with in-the-loop filtering of responses like ChatGPT, so the model can produce problematic outputs (especially when prompted to do so). It is also unknown what the size and composition of the corpus was used to train the base Llama 3.1 models, however it is likely to have included a mix of Web data and technical sources like books and code. See the Falcon 180B model card for an example of this.

Performance

Benchmark (eval)Tülu 3 SFT 8BTülu 3 DPO 8BTülu 3 8BLlama 3.1 8B InstructQwen 2.5 7B InstructMagpie 8BGemma 2 9B InstructMinistral 8B Instruct
Avg.60.464.464.862.257.844.755.258.3
MMLU (0 shot, CoT)65.968.768.271.276.662.074.668.5
PopQA (15 shot)29.329.329.120.218.122.528.320.2
TruthfulQA (6 shot)46.856.155.055.163.157.061.455.5
BigBenchHard (3 shot, CoT)67.965.866.062.821.70.92.556.2
DROP (3 shot)61.362.5**6

From the published model card. Full card on the HuggingFace links in the sidebar.

Using it via the API

Call it like any OpenAI endpoint

Once AxForge deploys llama-3-1-tulu-3-sft for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (llama-3-1-tulu-3-sft below is illustrative; you get the exact model name on deployment.)

$ curl -sS https://api.axforge.ai/v1/chat/completions \
  -H "Authorization: Bearer $AXFORGE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"llama-3-1-tulu-3-sft","messages":[{"role":"user","content":"Hello"}]}'

Create an account — your API key is available in the console. 5M tokens/month currently included with every new account at launch.

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