H2o Danube 1.8B Chat by h2oai

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  Arxiv:2401.16818   Autotrain compatible   Conversational Dataset:argilla/distilabel-mat... Dataset:huggingfaceh4/ultracha... Dataset:huggingfaceh4/ultrafee...   Dataset:intel/orca dpo pairs   Dataset:meta-math/metamathqa   Dataset:open-orca/openorca   Dataset:openassistant/oasst2   En   Endpoints compatible   Gpt   H2o-llmstudio   Mistral   Region:us   Safetensors

H2o Danube 1.8B Chat Benchmarks

H2o Danube 1.8B Chat (h2oai/h2o-danube-1.8b-chat)

H2o Danube 1.8B Chat Parameters and Internals

Model Type 
text-generation, chat
Use Cases 
Limitations:
The model may produce incorrect, nonsensical, or irrelevant responses.
Training Details 
Data Sources:
HuggingFaceH4/ultrafeedback_binarized, Intel/orca_dpo_pairs, argilla/distilabel-math-preference-dpo, Open-Orca/OpenOrca, OpenAssistant/oasst2, HuggingFaceH4/ultrachat_200k, meta-math/MetaMathQA
Context Length:
16384
Model Architecture:
MistralForCausalLM with Llama 2 modifications
Responsible Ai Considerations 
Fairness:
This model may contain biased, racist, offensive, or inappropriate content.
Input Output 
Accepted Modalities:
text
Output Format:
text
Performance Tips:
Apply the HF Tokenizer chat template for better results.
LLM NameH2o Danube 1.8B Chat
Repository ๐Ÿค—https://huggingface.co/h2oai/h2o-danube-1.8b-chat 
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 Length16384
Model Max Length16384
Transformers Version4.36.2
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-danube-1.8b-chat.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217