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H2o Danube3 4B Chat by h2oai

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H2o Danube3 4B Chat is an open-source language model by h2oai. Features: 4b LLM, VRAM: 8GB, Context: 8K, License: apache-2.0, LLM Explorer Score: 0.23.

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

H2o Danube3 4B Chat Benchmarks

MMLU Pro: 13.65
GPQA: 1.34
MUSR: 5.23
BBH: 8.84
IFEval: 36.29 vs 88 (so35)-58.8%
MATH Lvl 5: 4.08
LLME Score: 0.23081
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 Chat (h2oai/h2o-danube3-4b-chat)
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H2o Danube3 4B Chat Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
research, commercial
Additional Notes 
Can run natively and fully offline on phones.
Training Details 
Context Length:
8192
Hardware Used:
Phones
Model Architecture:
Adjusted Llama 2 architecture with Danube model specifications
Input Output 
Accepted Modalities:
text
Output Format:
text
Performance Tips:
Using quantization or sharding for efficient resource utilization.
LLM NameH2o Danube3 4B Chat
Repository 🤗https://huggingface.co/h2oai/h2o-danube3-4b-chat 
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
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-danube3-4b-chat.

Rank the H2o Danube3 4B Chat Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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