What are the hardware requirements for Airoboros 65B Gpt4 2.0?

Airoboros 65B Gpt4 2.0 requires approximately 130.4 GB of VRAM and supports a context window of 2K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Airoboros 65B Gpt4 2.0 and how large is it?

Airoboros 65B Gpt4 2.0 is developed by jondurbin, a model with 65b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Airoboros 65B Gpt4 2.0 perform on standard benchmarks?

Airoboros 65B Gpt4 2.0 has the following published scores: MMLU 63.41. Compare against reference models on this page or on the LLM Explorer leaderboards.

Airoboros 65B Gpt4 2.0 by jondurbin — VRAM 130.4GB, 2K context

Name: Airoboros 65B Gpt4 2.0
Author: jondurbin

Airoboros 65B Gpt4 2.0 is an open-source language model by jondurbin. Features: 65b LLM, VRAM: 130.4GB, Context: 2K, License: cc-by-nc-4.0, LLM Explorer Score: 0.1, Arc: 66.8, HellaSwag: 86.7, MMLU: 63.4, GSM8K: 20.6.

Dataset:jondurbin/airoboros-gp... Endpoints compatible Llama Pytorch Region:us Sharded

Model Card on HF 🤗: https://huggingface.co/jondurbin/airoboros-65b-gpt4-2.0

Airoboros 65B Gpt4 2.0 Parameters and Internals

Model Type

instruction fine-tuned, text generation

Additional Notes

The model is trained on datasets generated by OpenAI API calls to GPT-4 via Airoboros.

Training Details

Data Sources:

jondurbin/airoboros-gpt4-m2.0

Methodology:

instruction fine-tuning with synthetic instructions

Input Output

Input Format:

A chat format where the user's input is followed by 'USER: ' and the assistant's response by 'ASSISTANT: '.

Accepted Modalities:

text

Output Format:

text response based on user's input

Performance Tips:

Closed-context prompts can reduce hallucinations, and explicit delimiters help the model understand context associations.

LLM Name	Airoboros 65B Gpt4 2.0
Repository 🤗	https://huggingface.co/jondurbin/airoboros-65b-gpt4-2.0
Model Size	65b
Required VRAM	130.4 GB
Updated	2026-06-26
Maintainer	jondurbin
Model Type	llama
Model Files	9.9 GB: 1-of-14 9.7 GB: 2-of-14 9.7 GB: 3-of-14 9.7 GB: 4-of-14 9.7 GB: 5-of-14 9.7 GB: 6-of-14 9.7 GB: 7-of-14 9.7 GB: 8-of-14 9.7 GB: 9-of-14 9.7 GB: 10-of-14 9.7 GB: 11-of-14 9.7 GB: 12-of-14 9.7 GB: 13-of-14 4.1 GB: 14-of-14
Model Architecture	LlamaForCausalLM
License	cc-by-nc-4.0
Context Length	2048
Model Max Length	2048
Transformers Version	4.31.0
Tokenizer Class	LlamaTokenizer
Beginning of Sentence Token	<s>
End of Sentence Token	</s>
Unk Token	<unk>
Vocabulary Size	32000
Torch Data Type	float16

Rank the Airoboros 65B Gpt4 2.0 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

Quantized Models of the Airoboros 65B Gpt4 2.0

Model	Likes	Downloads	VRAM
Airoboros 65B GPT4 2.0 GPTQ	3	8	33 GB
Airoboros 65B GPT4 2.0 GGML	2	5	27 GB

Best Alternatives to Airoboros 65B Gpt4 2.0

Best Alternatives	Context / RAM	Downloads	Likes
Kiyo 65M	2K / 0.1 GB	1456	2
Lite Oute 1 65M	2K / 0.3 GB	23	12
Lite Oute 1 65M Instruct	2K / 0.3 GB	15	12
StableBeluga1 Delta	2K / 130.4 GB	146	57
Airoboros 65B Gpt4 M2.0	2K / 130.4 GB	850	0
UltraLM 65B	2K / 130.4 GB	348	9
Openbuddy Llama 65B V8 Bf16	2K / 130.6 GB	177	9
Airoboros 65B Gpt4 1.4	2K / 130.4 GB	163	17
Llama 1 65B Hf	2K / 130.4 GB	14	1
Llama 65B Instruct	2K / 130.4 GB	198	15

Note: green Score (e.g. "73.2") means that the model is better than jondurbin/airoboros-65b-gpt4-2.0.