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

H2ogpt Research Oig Oasst1 512 30B requires approximately 81.1 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 Research Oig Oasst1 512 30B and how large is it?

H2ogpt Research Oig Oasst1 512 30B is developed by h2oai, 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 Research Oig Oasst1 512 30B?

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

H2ogpt Research Oig Oasst1 512 30B by h2oai — VRAM 81.1GB, 2K context

Name: H2ogpt Research Oig Oasst1 512 30B
Author: h2oai

H2ogpt Research Oig Oasst1 512 30B is an open-source language model by h2oai. Features: 30b LLM, VRAM: 81.1GB, Context: 2K, License: other, Instruction-Based, LLM Explorer Score: 0.07.

Dataset:h2oai/h2ogpt-oig-oasst... En Gpt Instruct Llama Pytorch Region:us Sharded

Model Card on HF 🤗: https://huggingface.co/h2oai/h2ogpt-research-oig-oasst1-512-30b

H2ogpt Research Oig Oasst1 512 30B Parameters and Internals

Model Type

instruction-following, large language model

Additional Notes

All details about performance etc. are provided in the LORA Model Card.

Supported Languages

en (full proficiency)

LLM Name	H2ogpt Research Oig Oasst1 512 30B
Repository 🤗	https://huggingface.co/h2oai/h2ogpt-research-oig-oasst1-512-30b
Model Size	30b
Required VRAM	81.1 GB
Updated	2026-07-28
Maintainer	h2oai
Model Type	llama
Instruction-Based	Yes
Model Files	6.0 GB: 1-of-14 5.9 GB: 2-of-14 6.2 GB: 3-of-14 6.3 GB: 4-of-14 5.9 GB: 5-of-14 6.3 GB: 6-of-14 6.0 GB: 7-of-14 6.2 GB: 8-of-14 6.3 GB: 9-of-14 5.9 GB: 10-of-14 6.3 GB: 11-of-14 6.0 GB: 12-of-14 6.2 GB: 13-of-14 1.6 GB: 14-of-14
Supported Languages	en
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 Research Oig Oasst1 512 30B 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 Research Oig Oasst1 512 30B

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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
Open Instruct Human Mix 30B	2K / 130.5 GB	58	1
H2ogpt Oasst1 512 30B HF	2K / 65 GB	116	2
Veyra 30M Instruct	1K / 0.1 GB	151	3

Note: green Score (e.g. "73.2") means that the model is better than h2oai/h2ogpt-research-oig-oasst1-512-30b.