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H2o Danube3 500M Base by h2oai

 »  All LLMs  »  h2oai  »  H2o Danube3 500M Base   URL Share it on

  2747   
  Arxiv:2407.09276   Autotrain compatible   En   Endpoints compatible   Gpt   H2o-llmstudio   Llama   Onnx   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/h2oai/h2o-danube3-500m-base 

H2o Danube3 500M Base Benchmarks

LLME Score: 0.26035
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
H2o Danube3 500M Base (h2oai/h2o-danube3-500m-base)

H2o Danube3 500M Base Parameters and Internals

Model Type 
text generation
Training Details 
Context Length:
8192
Model Architecture:
Adjustments of the Llama 2 architecture, using the Mistral tokenizer with a vocabulary size of 32,000.
Input Output 
Accepted Modalities:
text
Performance Tips:
Quantization and sharding options available for optimization.
LLM NameH2o Danube3 500M Base
Repository 🤗https://huggingface.co/h2oai/h2o-danube3-500m-base 
Model Size500m
Required VRAM1 GB
Updated2024-12-22
Maintainerh2oai
Model Typellama
Model Files  1.0 GB
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-danube3-500m-base.

Rank the H2o Danube3 500M 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 v20241217
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