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PascalHermes 2.5 Mistral 7B by runkai

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  Arxiv:1910.09700   Autotrain compatible Base model:finetune:teknium/op... Base model:teknium/openhermes-...   Conversational Dataset:argilla/distilabel-int...   Dpo   En   Endpoints compatible   Mistral   Model-index   Region:us   Safetensors   Sharded   Tensorflow   Trl   Unsloth

PascalHermes 2.5 Mistral 7B Benchmarks

ARC: 63.82-33.7%
HellaSwag: 83.75-12.1%
MMLU: 62.22-28.1%
TruthfulQA: 53.72-8.9%
WinoGrande: 77.11-11.9%
GSM8K: 48.22-47.6%
nn.n% — How the model compares to the GPT-4.

PascalHermes 2.5 Mistral 7B Parameters and Internals

LLM NamePascalHermes 2.5 Mistral 7B
RepositoryOpen on 🤗 
Base Model(s)  teknium/OpenHermes-2.5-Mistral-7B   teknium/OpenHermes-2.5-Mistral-7B
Model Size7b
Required VRAM14.4 GB
Updated2024-07-27
Maintainerrunkai
Model Typemistral
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licensemit
Context Length32768
Model Max Length32768
Transformers Version4.38.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32002
Torch Data Typebfloat16
PascalHermes 2.5 Mistral 7B (runkai/PascalHermes-2.5-Mistral-7B)

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Note: green Score (e.g. "73.2") means that the model is better than runkai/PascalHermes-2.5-Mistral-7B.

Rank the PascalHermes 2.5 Mistral 7B Capabilities

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Instruction Following and Task Automation  
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Release v2024072501
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