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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

ARC: 41.13 vs 96.7 (so35)-57.5%
HellaSwag: 68.06 vs 95.3 (gpt4)-28.6%
MMLU: 33.41 vs 88.3 (so35)-62.2%
TruthfulQA: 41.64 vs 59 (gpt4)-29.4%
WinoGrande: 65.35 vs 87.5 (gpt4)-25.3%
GSM8K: 17.36 vs 96.4 (so35)-82%
LLME Score: 0.27462
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

H2o Danube 1.8B Chat Parameters and Internals

LLM NameH2o Danube 1.8B Chat
Repository 🤗https://huggingface.co/h2oai/h2o-danube-1.8b-chat 
Model Size1.8b
Required VRAM3.7 GB
Updated2024-09-07
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
H2o Danube 1.8B Chat (h2oai/h2o-danube-1.8b-chat)

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H2o Danube 1.8B Base16K / 3.7 GB75943
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PixieZehirNano16K / 3.7 GB120
Cypher CoT 1.8B16K / 3.7 GB71
...1.8B Chat Sft Merge Fourier V116K / 7.3 GB101
H2o Danube2 1.8B Chat8K / 3.7 GB733455
H2o Danube2 1.8B Sft8K / 3.7 GB34626
H2o Danube2 1.8B Base8K / 3.7 GB110243
Binary Clumsy Bear8K / 7.3 GB50
Note: green Score (e.g. "73.2") means that the model is better than h2oai/h2o-danube-1.8b-chat.

Rank the H2o Danube 1.8B Chat Capabilities

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803
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