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H2o Danube2 1.8B Base by h2oai

 »  All LLMs  »  h2oai  »  H2o Danube2 1.8B Base   URL Share it on

  956   
  Arxiv:2401.16818   Autotrain compatible   En   Endpoints compatible   Gpt   Mistral   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/h2oai/h2o-danube2-1.8b-base 

H2o Danube2 1.8B Base Benchmarks

ARC: 43.34 vs 96.7 (so35)-55.2%
HellaSwag: 72.95 vs 95.3 (gpt4)-23.5%
MMLU: 40.2 vs 88.3 (so35)-54.5%
TruthfulQA: 38.01 vs 59 (gpt4)-35.6%
WinoGrande: 68.03 vs 87.5 (gpt4)-22.3%
GSM8K: 29.8 vs 96.4 (so35)-69.1%
LLME Score: 0.24808
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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H2o Danube2 1.8B Base Parameters and Internals

Model Type 
foundation model, large language model, GPT
Use Cases 
Areas:
research, commercial applications
Applications:
text generation, language modeling
Limitations:
It may produce incorrect, nonsensical, or irrelevant responses.
Considerations:
Users should critically evaluate the generated content and use it at their discretion.
Training Details 
Context Length:
8192
Model Architecture:
Llama 2
Input Output 
Input Format:
Expected input is text tokens.
Accepted Modalities:
text
Output Format:
Generates text completion.
LLM NameH2o Danube2 1.8B Base
Repository 🤗https://huggingface.co/h2oai/h2o-danube2-1.8b-base 
Model Size1.8b
Required VRAM3.7 GB
Updated2024-12-04
Maintainerh2oai
Model Typemistral
Model Files  3.7 GB
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.39.3
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16
H2o Danube2 1.8B Base (h2oai/h2o-danube2-1.8b-base)

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

Rank the H2o Danube2 1.8B Base 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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