What are the hardware requirements for Airoboros 65B GPT4 M2.0 GGML?

Airoboros 65B GPT4 M2.0 GGML requires approximately 27.5 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Airoboros 65B GPT4 M2.0 GGML and how large is it?

Airoboros 65B GPT4 M2.0 GGML is developed by TheBloke, a model with 65b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Airoboros 65B GPT4 M2.0 GGML?

Airoboros 65B GPT4 M2.0 GGML is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Airoboros 65B GPT4 M2.0 GGML by TheBloke — VRAM 27.5GB

Name: Airoboros 65B GPT4 M2.0 GGML
Author: TheBloke

Airoboros 65B GPT4 M2.0 GGML is an open-source language model by TheBloke. Features: 65b LLM, VRAM: 27.5GB, License: other, Quantized, LLM Explorer Score: 0.08.

Base model:finetune:jondurbin/... Base model:jondurbin/airoboros... Dataset:jondurbin/airoboros-gp... Ggml Llama Quantized Region:us

Model Card on HF 🤗: https://huggingface.co/TheBloke/Airoboros-65B-GPT4-m2.0-GGML

Airoboros 65B GPT4 M2.0 GGML Parameters and Internals

Model Type

llama

Additional Notes

The 33b/65b models are QLoRA fine-tunes. Prompt structure plays a significant role in the model's performance and output.

Training Details

Methodology:

Instruction fine-tuning using synthetic instructions generated by [airoboros](https://github.com/jondurbin/airoboros)

Model Architecture:

QLoRA fine-tunes; instruction fine-tuning llama-2 model

Input Output

Input Format:

Prompt with 'USER: ' followed by user input and 'ASSISTANT: ' for system output.

Performance Tips:

Use explicit input delimiters for better context association and response accuracy.

LLM Name	Airoboros 65B GPT4 M2.0 GGML
Repository 🤗	https://huggingface.co/TheBloke/Airoboros-65B-GPT4-m2.0-GGML
Model Name	Airoboros 65B GPT4 m2.0
Model Creator	Jon Durbin
Base Model(s)	jondurbin/airoboros-65b-gpt4-m2.0 jondurbin/airoboros-65b-gpt4-m2.0
Model Size	65b
Required VRAM	27.5 GB
Updated	2026-07-24
Maintainer	TheBloke
Model Type	llama
Model Files	27.5 GB 34.6 GB 31.5 GB 28.2 GB 36.8 GB 40.9 GB 39.3 GB 36.8 GB 44.9 GB 49.0 GB 46.2 GB 44.9 GB
GGML Quantization	Yes
Quantization Type	ggml
Model Architecture	AutoModel
License	other

Rank the Airoboros 65B GPT4 M2.0 GGML 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

Best Alternatives to Airoboros 65B GPT4 M2.0 GGML

Best Alternatives	Context / RAM	Downloads	Likes
Airoboros 65B GPT4 2.0 GGML	0K / 27.5 GB	5	2
...stage Llama1 65B Instruct GGML	0K / 27.5 GB	10	5
LLaMa 65B GGML	0K / 27.3 GB	6	25
...en Instruct Human Mix 65B GGUF	0K / 27 GB	287	1
...stage Llama1 65B Instruct GGUF	0K / 27 GB	1110	1
Guanaco 65B GGUF	0K / 27 GB	226	5
LLaMA 65B GGUF	0K / 27 GB	157	5
Medguanaco Lora 65B GPTQ	0K / 0.3 GB	0	9

Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Airoboros-65B-GPT4-m2.0-GGML.