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OgnoMonarch 7B by yleo

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  Merged Model   Autotrain compatible   Base model:mlabonne/monarch-7b   Base model:paulml/ogno-7b   Endpoints compatible   Mistral   Mlabonne/monarch-7b   Paulml/ogno-7b   Region:us   Safetensors   Sharded   Tensorflow

OgnoMonarch 7B Benchmarks

ARC: 72.61-24.6%
HellaSwag: 88.92-6.7%
MMLU: 64.94-24.9%
TruthfulQA: 77.0630.6%
WinoGrande: 84.21-3.8%
GSM8K: 70.05-23.9%
nn.n% — How the model compares to the GPT-4.

OgnoMonarch 7B Parameters and Internals

LLM NameOgnoMonarch 7B
RepositoryOpen on 🤗 
Base Model(s)  OGNO 7B   Monarch 7B   paulml/OGNO-7B   mlabonne/Monarch-7B
Merged ModelYes
Model Size7b
Required VRAM14.5 GB
Updated2024-07-26
Maintaineryleo
Model Typemistral
Model Files  9.8 GB: 1-of-2   4.7 GB: 2-of-2
Model ArchitectureMistralForCausalLM
Licensecc-by-nc-4.0
Context Length32768
Model Max Length32768
Transformers Version4.35.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16
OgnoMonarch 7B (yleo/OgnoMonarch-7B)

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...1 Summarize 64K LoRANET Merged0.2128K / 14.4 GB2360
... Summarize 64K QLoRANET Merged0.2128K / 4.1 GB90
LuminRP 7B 128K V0.50.2128K / 14.5 GB101
LuminRP 7B 128K V0.40.2128K / 14.4 GB121
Note: green Score (e.g. "73.2") means that the model is better than yleo/OgnoMonarch-7B.

Rank the OgnoMonarch 7B Capabilities

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Instruction Following and Task Automation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072501
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