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H2o Danube2 1.8B Sft by h2oai

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

  590   
  Arxiv:2401.16818   Autotrain compatible   Conversational   En   Endpoints compatible   Gpt   H2o-llmstudio   Mistral   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/h2oai/h2o-danube2-1.8b-sft 

H2o Danube2 1.8B Sft Benchmarks

ARC: 42.66 vs 96.7 (so35)-55.9%
HellaSwag: 72.75 vs 95.3 (gpt4)-23.7%
MMLU: 35.9 vs 88.3 (so35)-59.3%
TruthfulQA: 38.7 vs 59 (gpt4)-34.4%
WinoGrande: 68.51 vs 87.5 (gpt4)-21.7%
GSM8K: 25.63 vs 96.4 (so35)-73.4%
LLME Score: 0.23751
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 Sft Parameters and Internals

Model Type 
chat, fine-tuned
Additional Notes 
The model is adjusted from Llama 2 architecture, using the Transformers library for deployment.
Training Details 
Methodology:
fine-tuning with SFT (Supervised Fine-Tuning)
Context Length:
8192
Model Architecture:
Mistral model with Mistral tokenizer
Input Output 
Input Format:
text with HF Tokenizer chat template
Accepted Modalities:
text
Output Format:
text
LLM NameH2o Danube2 1.8B Sft
Repository 🤗https://huggingface.co/h2oai/h2o-danube2-1.8b-sft 
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 Version4.38.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16
H2o Danube2 1.8B Sft (h2oai/h2o-danube2-1.8b-sft)

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

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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