What are the hardware requirements for H2ogpt Oasst1 512 30B GPTQ?

H2ogpt Oasst1 512 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 H2ogpt Oasst1 512 30B GPTQ and how large is it?

H2ogpt Oasst1 512 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.

Where can I download or evaluate H2ogpt Oasst1 512 30B GPTQ?

H2ogpt Oasst1 512 30B GPTQ is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

H2ogpt Oasst1 512 30B GPTQ by TheBloke — VRAM 16.9GB, 2K context

Name: H2ogpt Oasst1 512 30B GPTQ
Author: TheBloke

H2ogpt Oasst1 512 30B GPTQ is an open-source language model by TheBloke. Features: 30b LLM, VRAM: 16.9GB, Context: 2K, License: other, Quantized, Instruction-Based, LLM Explorer Score: 0.07.

4-bit Dataset:h2oai/h2ogpt-oig-oasst... En Gpt Gptq Instruct Llama Quantized Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/TheBloke/h2ogpt-oasst1-512-30B-GPTQ

H2ogpt Oasst1 512 30B GPTQ Parameters and Internals

Model Type

large language model, LLaMa

Use Cases

Limitations:

Model may exhibit biases or produce content that is offensive or inappropriate., Model is not human and may produce incorrect or irrelevant responses.

Considerations:

Users should critically evaluate generated content.

Additional Notes

Classical benchmarks align with base LLaMa 30B model.

Training Details

Data Sources:

h2oai/h2ogpt-oig-oasst1-instruct-cleaned-v2

Model Architecture:

LlamaForCausalLM

Input Output

Input Format:

Expected prompt format with : PROMPT :

Accepted Modalities:

text

Performance Tips:

A custom stopping string needs to be implemented as the model has no stopping token.

LLM Name	H2ogpt Oasst1 512 30B GPTQ
Repository 🤗	https://huggingface.co/TheBloke/h2ogpt-oasst1-512-30B-GPTQ
Base Model(s)	H2ogpt Oasst1 512 30B HF TheBloke/h2ogpt-oasst1-512-30B-HF
Model Size	30b
Required VRAM	16.9 GB
Updated	2026-07-31
Maintainer	TheBloke
Model Type	llama
Instruction-Based	Yes
Model Files	16.9 GB
Supported Languages	en
GPTQ Quantization	Yes
Quantization Type	gptq
Model Architecture	LlamaForCausalLM
License	other
Context Length	2048
Model Max Length	2048
Transformers Version	4.28.1
Tokenizer Class	LlamaTokenizer
Vocabulary Size	32000
Torch Data Type	float16

Rank the H2ogpt Oasst1 512 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 H2ogpt Oasst1 512 30B GPTQ

Best Alternatives	Context / RAM	Downloads	Likes
...e Llama 30B Instruct 2048 GPTQ	2K / 16.9 GB	27	22
WizardLM 30B Uncensored GPTQ	2K / 16.9 GB	79	118
Tildeopen 30B Mu Instruct	64K / 60.9 GB	41	6
...ct 2048 Open Platypus 100steps	2K / 65.2 GB	88	0
Llama 30B Instruct 2048	2K / 65.2 GB	374	103
...azarus Instruct PL Lora Unload	2K / 65.2 GB	85	0
Llama 30B Instruct	2K / 65.2 GB	333	24
...B 2048 Instruct PL Lora Unload	2K / 65.2 GB	97	1
...lama 30B Instruct 2048 PL Lora	2K / 65.2 GB	89	0
...ge Llama 30B Instruct 2048 AWQ	2K / 17.6 GB	3	2

Note: green Score (e.g. "73.2") means that the model is better than TheBloke/h2ogpt-oasst1-512-30B-GPTQ.