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H2o Danube3 4B Base by h2oai

 »  All LLMs  »  h2oai  »  H2o Danube3 4B Base   URL Share it on

  1203   
  Arxiv:2407.09276   Autotrain compatible   En   Endpoints compatible   Gpt   H2o-llmstudio   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/h2oai/h2o-danube3-4b-base 

H2o Danube3 4B Base Benchmarks

MMLU Pro: 12.33
GPQA: 5.48
MUSR: 6.53
BBH: 10.56
IFEval: 23.38 vs 88 (so35)-73.4%
MATH Lvl 5: 2.27
LLME Score: 0.21119
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
H2o Danube3 4B Base (h2oai/h2o-danube3-4b-base)
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H2o Danube3 4B Base Parameters and Internals

Model Type 
text-generation
Use Cases 
Areas:
research, commercial applications
Additional Notes 
Models can be quantized to 8-bit or 4-bit and support sharding across multiple GPUs.
Training Details 
Context Length:
8192
Model Architecture:
Adjusted Llama 2 with Mistral tokenizer, 24 layers, 32 heads, 8 query groups
LLM NameH2o Danube3 4B Base
Repository 🤗https://huggingface.co/h2oai/h2o-danube3-4b-base 
Model Size4b
Required VRAM8 GB
Updated2025-09-23
Maintainerh2oai
Model Typellama
Model Files  5.0 GB: 1-of-2   3.0 GB: 2-of-2
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.42.3
Tokenizer ClassLlamaTokenizer
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-danube3-4b-base.

Rank the H2o Danube3 4B Base 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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