H2o Danube2 1.8B Sft by h2oai

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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, HF Score: 47.4, LLM Explorer Score: 0.16, Arc: 42.7, HellaSwag: 72.8, MMLU: 35.9, TruthfulQA: 38.7, WinoGrande: 68.5, GSM8K: 25.6.

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

H2o Danube2 1.8B Sft Benchmarks

H2o Danube2 1.8B Sft (h2oai/h2o-danube2-1.8b-sft)
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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 NameH2o Danube2 1.8B Sft
Repository ๐Ÿค—https://huggingface.co/h2oai/h2o-danube2-1.8b-sft 
Model Size1.8b
Required VRAM3.7 GB
Updated2026-04-09
Maintainerh2oai
Model Typemistral
Model Files  3.7 GB
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.38.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16

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

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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Data Analysis and Insight Generation  
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Release v20260328a