H2o Danube2 1.8B Base by h2oai

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  Arxiv:2401.16818   Autotrain compatible   En   Endpoints compatible   Gpt   Mistral   Region:us   Safetensors

H2o Danube2 1.8B Base Benchmarks

H2o Danube2 1.8B Base (h2oai/h2o-danube2-1.8b-base)

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 ๐Ÿค—https://huggingface.co/h2oai/h2o-danube2-1.8b-base 
Model Size1.8b
Required VRAM3.7 GB
Updated2024-12-26
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

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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Data Analysis and Insight Generation  
Text Generation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217