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OmniCorso 7B by macadeliccc

 »  All LLMs  »  macadeliccc  »  OmniCorso 7B   URL Share it on

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  Merged Model   Autotrain compatible Base model:macadeliccc/mbx-7b-... Base model:mlabonne/omnibeagle...   Endpoints compatible   Mistral   Model-index   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/macadeliccc/OmniCorso-7B 

OmniCorso 7B Benchmarks

ARC: 72.44 vs 96.7 (so35)-25.1%
HellaSwag: 88.78 vs 95.3 (gpt4)-6.8%
MMLU: 65.08 vs 88.3 (so35)-26.3%
TruthfulQA: 73.5 vs 59 (gpt4)24.6%
WinoGrande: 83.5 vs 87.5 (gpt4)-4.6%
GSM8K: 70.51 vs 96.4 (so35)-26.9%
LLME Score: 0.18272
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
OmniCorso 7B (macadeliccc/OmniCorso-7B)

OmniCorso 7B Parameters and Internals

Model Type 
text-generation
LLM NameOmniCorso 7B
Repository 🤗https://huggingface.co/macadeliccc/OmniCorso-7B 
Base Model(s)  MBX 7B V3 DPO   OmniBeagle 7B   macadeliccc/MBX-7B-v3-DPO   mlabonne/OmniBeagle-7B
Merged ModelYes
Model Size7b
Required VRAM14.4 GB
Updated2024-12-21
Maintainermacadeliccc
Model Typemistral
Model Files  9.9 GB: 1-of-2   4.5 GB: 2-of-2
Model ArchitectureMistralForCausalLM
Licensecc
Context Length32768
Model Max Length32768
Transformers Version4.35.0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than macadeliccc/OmniCorso-7B.

Rank the OmniCorso 7B Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Release v20241217
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