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

H2ogpt Oasst1 512 30B HF requires approximately 65 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 HF and how large is it?

H2ogpt Oasst1 512 30B HF 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 HF?

H2ogpt Oasst1 512 30B HF 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 HF by TheBloke — VRAM 65GB, 2K context

Name: H2ogpt Oasst1 512 30B HF
Author: TheBloke

H2ogpt Oasst1 512 30B HF is an open-source language model by TheBloke. Features: 30b LLM, VRAM: 65GB, 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/TheBloke/h2ogpt-oasst1-512-30B-HF

H2ogpt Oasst1 512 30B HF Parameters and Internals

Model Type

instruction-following, large language model

Use Cases

Areas:

research

Limitations:

The model may produce incorrect, nonsensical, or irrelevant responses., Trained data may contain biases or inappropriate content

Additional Notes

Only for research purposes. Users must ensure critical evaluation of generated content.

Supported Languages

English (High)

Training Details

Data Sources:

h2oai/h2ogpt-oig-oasst1-instruct-cleaned-v2, h2oai/openassistant_oasst1_h2ogpt

Methodology:

LORA fine-tuning on base LLaMa 30B model

Context Length:

512

Model Architecture:

LlamaForCausalLM with LoRA additions

Release Notes

Notes:

The model is a 30 billion parameter instruction-following large language model merged with base LLaMa 30B using LoRA.

LLM Name	H2ogpt Oasst1 512 30B HF
Repository 🤗	https://huggingface.co/TheBloke/h2ogpt-oasst1-512-30B-HF
Model Size	30b
Required VRAM	65 GB
Updated	2026-08-05
Maintainer	TheBloke
Model Type	llama
Instruction-Based	Yes
Model Files	7.9 GB: 1-of-9 7.8 GB: 2-of-9 8.0 GB: 3-of-9 8.0 GB: 4-of-9 7.8 GB: 5-of-9 8.0 GB: 6-of-9 7.8 GB: 7-of-9 8.0 GB: 8-of-9 1.7 GB: 9-of-9
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 Oasst1 512 30B HF 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 H2ogpt Oasst1 512 30B HF

Model	Likes	Downloads	VRAM
H2ogpt Oasst1 512 30B GPTQ	5	2	16 GB

Best Alternatives to H2ogpt Oasst1 512 30B HF

Best Alternatives	Context / RAM	Downloads	Likes
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
...pt Research Oig Oasst1 512 30B	2K / 81.1 GB	179	3
Veyra 30M Instruct	1K / 0.1 GB	151	3

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