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

H2o Danube2 1.8B Sft 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 Sft and how large is it?

H2o Danube2 1.8B Sft 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 Sft perform on standard benchmarks?

H2o Danube2 1.8B Sft has the following published scores: MMLU 35.9. Compare against reference models on this page or on the LLM Explorer leaderboards.

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

Name: H2o Danube2 1.8B Sft
Author: h2oai

H2o Danube2 1.8B Sft 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: 42.7, HellaSwag: 72.8, MMLU: 35.9, GSM8K: 25.6.

Arxiv:2401.16818 Conversational En Endpoints compatible Gpt H2o-llmstudio Mistral Region:us Safetensors

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

H2o Danube2 1.8B Sft Parameters and Internals

Model Type

chat, fine-tuned

Additional Notes

The model is adjusted from Llama 2 architecture, using the Transformers library for deployment.

Training Details

Methodology:

fine-tuning with SFT (Supervised Fine-Tuning)

Context Length:

8192

Model Architecture:

Mistral model with Mistral tokenizer

Input Output

Input Format:

text with HF Tokenizer chat template

Accepted Modalities:

text

Output Format:

text

LLM Name	H2o Danube2 1.8B Sft
Repository 🤗	https://huggingface.co/h2oai/h2o-danube2-1.8b-sft
Model Size	1.8b
Required VRAM	3.7 GB
Updated	2026-07-25
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	4.38.2
Tokenizer Class	LlamaTokenizer
Padding Token	<unk>
Vocabulary Size	32000
Torch Data Type	bfloat16

Rank the H2o Danube2 1.8B Sft 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 Sft

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 Base	8K / 3.7 GB	346	47
H2o Danube2 1.8B Chat	8K / 3.7 GB	222	62
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-sft.