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H2o Danube 1.8B Chat by h2oai

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  103   
  Arxiv:2401.16818   Autotrain compatible   Conversational Dataset:argilla/distilabel-mat... Dataset:huggingfaceh4/ultracha... Dataset:huggingfaceh4/ultrafee...   Dataset:intel/orca dpo pairs   Dataset:meta-math/metamathqa   Dataset:open-orca/openorca   Dataset:openassistant/oasst2   En   Endpoints compatible   Gpt   H2o-llmstudio   Mistral   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/h2oai/h2o-danube-1.8b-chat 

H2o Danube 1.8B Chat Benchmarks

MMLU Pro: 3.49
GPQA: 0.56
MUSR: 9.06
BBH: 5.27
IFEval: 21.99 vs 88 (so35)-75%
ARC: 41.13 vs 96.7 (so35)-57.5%
HellaSwag: 68.06 vs 95.3 (gpt4)-28.6%
MMLU: 33.41 vs 88.3 (so35)-62.2%
TruthfulQA: 41.64 vs 59 (gpt4)-29.4%
WinoGrande: 65.35 vs 87.5 (gpt4)-25.3%
GSM8K: 17.36 vs 96.4 (so35)-82%
MATH Lvl 5: 1.36
LLME Score: 0.18991
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
H2o Danube 1.8B Chat (h2oai/h2o-danube-1.8b-chat)
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H2o Danube 1.8B Chat Parameters and Internals

Model Type 
text-generation, chat
Use Cases 
Limitations:
The model may produce incorrect, nonsensical, or irrelevant responses.
Training Details 
Data Sources:
HuggingFaceH4/ultrafeedback_binarized, Intel/orca_dpo_pairs, argilla/distilabel-math-preference-dpo, Open-Orca/OpenOrca, OpenAssistant/oasst2, HuggingFaceH4/ultrachat_200k, meta-math/MetaMathQA
Context Length:
16384
Model Architecture:
MistralForCausalLM with Llama 2 modifications
Responsible Ai Considerations 
Fairness:
This model may contain biased, racist, offensive, or inappropriate content.
Input Output 
Accepted Modalities:
text
Output Format:
text
Performance Tips:
Apply the HF Tokenizer chat template for better results.
LLM NameH2o Danube 1.8B Chat
Repository 🤗https://huggingface.co/h2oai/h2o-danube-1.8b-chat 
Model Size1.8b
Required VRAM3.7 GB
Updated2025-10-09
Maintainerh2oai
Model Typemistral
Model Files  3.7 GB
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length16384
Model Max Length16384
Transformers Version4.36.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16

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Rank the H2o Danube 1.8B Chat Capabilities

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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  

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Release v20241124
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