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Eclipse 13B DPO by Xenon1

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  Arxiv:2401.10020   Autotrain compatible   Eclipse-13b-dpo   En   Endpoints compatible   Mistral   Mixtral   Region:us   Safetensors   Sharded   Tensorflow

Eclipse 13B DPO Benchmarks

ARC: 64.59 vs 96.7 (so35)-33.2%
HellaSwag: 85 vs 95.3 (gpt4)-10.8%
MMLU: 64.85 vs 88.3 (so35)-26.6%
TruthfulQA: 54.76 vs 59 (gpt4)-7.2%
WinoGrande: 84.61 vs 87.5 (gpt4)-3.3%
GSM8K: 69.37 vs 96.4 (so35)-28%
LLME Score: 0.20817
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Eclipse 13B DPO Parameters and Internals

LLM NameEclipse 13B DPO
Repository 🤗https://huggingface.co/Xenon1/Eclipse-13B-dpo 
Model Size13b
Required VRAM25.8 GB
Updated2024-09-07
MaintainerXenon1
Model Typemixtral
Model Files  5.0 GB: 1-of-6   4.9 GB: 2-of-6   5.0 GB: 3-of-6   5.0 GB: 4-of-6   4.9 GB: 5-of-6   1.0 GB: 6-of-6
Supported Languagesen
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.37.1
Tokenizer ClassLlamaTokenizer
Padding Token<s>
Vocabulary Size32000
Torch Data Typefloat16
Eclipse 13B DPO (Xenon1/Eclipse-13B-dpo)

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Note: green Score (e.g. "73.2") means that the model is better than Xenon1/Eclipse-13B-dpo.

Rank the Eclipse 13B DPO Capabilities

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Instruction Following and Task Automation  
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Release v2024072803
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