What are the hardware requirements for OpenAssistant SFT 7 Llama 30B GPTQ?

OpenAssistant SFT 7 Llama 30B GPTQ requires approximately 16.9 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 OpenAssistant SFT 7 Llama 30B GPTQ and how large is it?

OpenAssistant SFT 7 Llama 30B GPTQ is developed by TheBloke, a model with 30b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does OpenAssistant SFT 7 Llama 30B GPTQ perform on standard benchmarks?

OpenAssistant SFT 7 Llama 30B GPTQ has the following published scores: MMLU 57.93. Compare against reference models on this page or on the LLM Explorer leaderboards.

OpenAssistant SFT 7 Llama 30B GPTQ by TheBloke — VRAM 16.9GB, 2K context

Name: OpenAssistant SFT 7 Llama 30B GPTQ
Author: TheBloke

OpenAssistant SFT 7 Llama 30B GPTQ is an open-source language model by TheBloke. Features: 30b LLM, VRAM: 16.9GB, Context: 2K, License: other, Quantized, LLM Explorer Score: 0.09, Arc: 60.6, HellaSwag: 82.2, MMLU: 57.9, GSM8K: 29.8.

Arxiv:2304.07327 4-bit Gptq Llama Quantized Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/TheBloke/OpenAssistant-SFT-7-Llama-30B-GPTQ

OpenAssistant SFT 7 Llama 30B GPTQ Parameters and Internals

LLM Name	OpenAssistant SFT 7 Llama 30B GPTQ
Repository 🤗	https://huggingface.co/TheBloke/OpenAssistant-SFT-7-Llama-30B-GPTQ
Base Model(s)	...enAssistant SFT 7 Llama 30B HF TheBloke/OpenAssistant-SFT-7-Llama-30B-HF
Model Size	30b
Required VRAM	16.9 GB
Updated	2026-08-07
Maintainer	TheBloke
Model Type	llama
Model Files	16.9 GB
GPTQ Quantization	Yes
Quantization Type	gptq
Model Architecture	LlamaForCausalLM
License	other
Context Length	2048
Model Max Length	2048
Transformers Version	4.29.0.dev0
Tokenizer Class	LlamaTokenizer
End of Sentence Token	</s>
Unk Token	</s>
Vocabulary Size	32016
Torch Data Type	float16

Rank the OpenAssistant SFT 7 Llama 30B GPTQ 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 OpenAssistant SFT 7 Llama 30B GPTQ

Best Alternatives	Context / RAM	Downloads	Likes
... 30B Supercot SuperHOT 8K GPTQ	8K / 16.9 GB	69	5
GPlatty 30B SuperHOT 8K GPTQ	8K / 16.9 GB	10	7
Platypus 30B SuperHOT 8K GPTQ	8K / 16.9 GB	5	4
Tulu 30B SuperHOT 8K GPTQ	8K / 16.9 GB	8	5
Yayi2 30B Llama GPTQ	4K / 17 GB	12	2
WizardLM 30B GPTQ	2K / 16.9 GB	645	18
...2 Llama 30B 7K Steps Gptq 2bit	2K / 9.5 GB	9	2
Llama 30B FINAL MODEL MINI	2K / 19.4 GB	5	1
WizardLM 30B V1.0 GPTQ	2K / 16.9 GB	4	1
...2 Llama 30B 7K Steps Gptq 4bit	2K / 17.5 GB	5	3

Note: green Score (e.g. "73.2") means that the model is better than TheBloke/OpenAssistant-SFT-7-Llama-30B-GPTQ.