What are the hardware requirements for Llama 3.1 Tulu 3 8B?

Llama 3.1 Tulu 3 8B requires approximately 16.1 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Llama 3.1 Tulu 3 8B and how large is it?

Llama 3.1 Tulu 3 8B is developed by allenai, a model with 8b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Llama 3.1 Tulu 3 8B perform on standard benchmarks?

Llama 3.1 Tulu 3 8B has the following published scores: LMSYS ELO 1200. Compare against reference models on this page or on the LLM Explorer leaderboards.

Llama 3.1 Tulu 3 8B by allenai — VRAM 16.1GB, 128K context

Name: Llama 3.1 Tulu 3 8B
Author: allenai

Llama 3.1 Tulu 3 8B is an open-source language model by allenai. Features: 8b LLM, VRAM: 16.1GB, Context: 128K, License: llama3.1, LLM Explorer Score: 0.39, ELO: 1200.

Arxiv:2411.15124 Base model:allenai/llama-3.1-t... Base model:finetune:allenai/ll... Conversational Dataset:allenai/rlvr-gsm-math-... En Endpoints compatible Llama Model-index Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/allenai/Llama-3.1-Tulu-3-8B

Llama 3.1 Tulu 3 8B Benchmarks

LMSys ELO 1200 vs 1272 (so35) -5.7%

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

Llama 3.1 Tulu 3 8B Parameters and Internals

Model Type

text generation

Use Cases

Areas:

Research, Educational Use

Supported Languages

Primary Language (English)

Training Details

Data Sources:

Publicly available datasets, Synthetic datasets, Human-created datasets

LLM Name	Llama 3.1 Tulu 3 8B
Repository 🤗	https://huggingface.co/allenai/Llama-3.1-Tulu-3-8B
Base Model(s)	allenai/Llama-3.1-Tulu-3-8B-DPO allenai/Llama-3.1-Tulu-3-8B-DPO
Model Size	8b
Required VRAM	16.1 GB
Updated	2026-07-25
Maintainer	allenai
Model Type	llama
Model Files	5.0 GB: 1-of-4 5.0 GB: 2-of-4 4.9 GB: 3-of-4 1.2 GB: 4-of-4
Supported Languages	en
Model Architecture	LlamaForCausalLM
License	llama3.1
Context Length	131072
Model Max Length	131072
Transformers Version	4.43.4
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<pad>
Vocabulary Size	128264
Torch Data Type	bfloat16

Rank the Llama 3.1 Tulu 3 8B capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation

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