What are the hardware requirements for H2o Danube2 1.8B Base?

H2o Danube2 1.8B Base requires approximately 3.7 GB of VRAM and supports a context window of 8K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed H2o Danube2 1.8B Base and how large is it?

H2o Danube2 1.8B Base is developed by h2oai, a model with 1.8b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does H2o Danube2 1.8B Base perform on standard benchmarks?

H2o Danube2 1.8B Base has the following published scores: MMLU 40.2. Compare against reference models on this page or on the LLM Explorer leaderboards.

H2o Danube2 1.8B Base by h2oai — VRAM 3.7GB, 8K context

Name: H2o Danube2 1.8B Base
Author: h2oai

H2o Danube2 1.8B Base is an open-source language model by h2oai. Features: 1.8b LLM, VRAM: 3.7GB, Context: 8K, License: apache-2.0, LLM Explorer Score: 0.15, Arc: 43.3, HellaSwag: 73, MMLU: 40.2, GSM8K: 29.8.

Arxiv:2401.16818 En Endpoints compatible Gpt Mistral Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/h2oai/h2o-danube2-1.8b-base

H2o Danube2 1.8B Base Parameters and Internals

Model Type

foundation model, large language model, GPT

Use Cases

Areas:

research, commercial applications

Applications:

text generation, language modeling

Limitations:

It may produce incorrect, nonsensical, or irrelevant responses.

Considerations:

Users should critically evaluate the generated content and use it at their discretion.

Training Details

Context Length:

8192

Model Architecture:

Llama 2

Input Output

Input Format:

Expected input is text tokens.

Accepted Modalities:

text

Output Format:

Generates text completion.

LLM Name	H2o Danube2 1.8B Base
Repository 🤗	https://huggingface.co/h2oai/h2o-danube2-1.8b-base
Model Size	1.8b
Required VRAM	3.7 GB
Updated	2026-08-08
Maintainer	h2oai
Model Type	mistral
Model Files	3.7 GB
Supported Languages	en
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	8192
Model Max Length	8192
Transformers Version	4.39.3
Tokenizer Class	LlamaTokenizer
Vocabulary Size	32000
Torch Data Type	bfloat16

Rank the H2o Danube2 1.8B Base 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 H2o Danube2 1.8B Base

Best Alternatives	Context / RAM	Downloads	Likes
H2o Danube 1.8B Chat	16K / 3.7 GB	267	55
H2o Danube 1.8B Base	16K / 3.7 GB	132	43
Cypher Mini 1.8B	16K / 3.7 GB	83	2
H2o Danube 1.8B Sft	16K / 3.7 GB	91	11
PixieZehirNano	16K / 3.7 GB	10	0
Cypher CoT 1.8B	16K / 3.7 GB	5	1
...1.8B Chat Sft Merge Fourier V1	16K / 7.3 GB	3	1
H2o Danube2 1.8B Chat	8K / 3.7 GB	222	62
H2o Danube2 1.8B Sft	8K / 3.7 GB	109	6
Binary Clumsy Bear	8K / 7.3 GB	5	0

Note: green Score (e.g. "73.2") means that the model is better than h2oai/h2o-danube2-1.8b-base.