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Ogno Monarch Jaskier Merge 7B by eren23

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  Merged Model   Bardsai/jaskier-7b-dpo-v5.6 Base model:bardsai/jaskier-7b-...   Base model:mlabonne/monarch-7b   Base model:paulml/ogno-7b   Diffusers   En   Mistral   Mlabonne/monarch-7b   Model-index   Paulml/ogno-7b   Region:us   Safetensors   Sharded   Tensorflow

Ogno Monarch Jaskier Merge 7B Benchmarks

ARC: 73.04-24.2%
HellaSwag: 89.09-6.5%
MMLU: 64.78-25.1%
TruthfulQA: 77.4431.3%
WinoGrande: 84.77-3.1%
GSM8K: 69.45-24.5%
nn.n% — How the model compares to the GPT-4.

Ogno Monarch Jaskier Merge 7B Parameters and Internals

LLM NameOgno Monarch Jaskier Merge 7B
RepositoryOpen on 🤗 
Base Model(s)  Monarch 7B   OGNO 7B   bardsai/jaskier-7b-dpo-v5.6   mlabonne/Monarch-7B   paulml/OGNO-7B   bardsai/jaskier-7b-dpo-v5.6
Merged ModelYes
Model Size7b
Required VRAM14.5 GB
Updated2024-07-27
Maintainereren23
Model Typemistral
Model Files  9.8 GB: 1-of-2   4.7 GB: 2-of-2
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licensecc-by-nc-4.0
Context Length32768
Model Max Length32768
Transformers Version4.35.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16
Ogno Monarch Jaskier Merge 7B (eren23/ogno-monarch-jaskier-merge-7b)

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Note: green Score (e.g. "73.2") means that the model is better than eren23/ogno-monarch-jaskier-merge-7b.

Rank the Ogno Monarch Jaskier Merge 7B Capabilities

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072501
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