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Retrograde Omega M 22B V1.0 by ReadyArt

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  Merged Model   Arxiv:2311.03099   Autotrain compatible Base model:readyart/the-omega-... Base model:thedrummer/cydonia-...   Conversational   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/ReadyArt/Retrograde-Omega-M-22B-v1.0 

Retrograde Omega M 22B V1.0 Benchmarks

LLME Score: 0.24483
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Retrograde Omega M 22B V1.0 (ReadyArt/Retrograde-Omega-M-22B-v1.0)

Retrograde Omega M 22B V1.0 Parameters and Internals

LLM NameRetrograde Omega M 22B V1.0
Repository 🤗https://huggingface.co/ReadyArt/Retrograde-Omega-M-22B-v1.0 
Base Model(s)  ReadyArt/The-Omega-Directive-M-22B-v1.0   Cydonia 22B V1   ReadyArt/The-Omega-Directive-M-22B-v1.0   TheDrummer/Cydonia-22B-v1
Merged ModelYes
Model Size22b
Required VRAM44.7 GB
Updated2025-05-14
MaintainerReadyArt
Model Typemistral
Model Files  4.9 GB: 1-of-10   4.9 GB: 2-of-10   5.0 GB: 3-of-10   5.0 GB: 4-of-10   4.9 GB: 5-of-10   5.0 GB: 6-of-10   5.0 GB: 7-of-10   4.9 GB: 8-of-10   5.0 GB: 9-of-10   0.1 GB: 10-of-10
Model ArchitectureMistralForCausalLM
Context Length131072
Model Max Length131072
Transformers Version4.51.1
Tokenizer ClassLlamaTokenizerFast
Padding Token</s>
Vocabulary Size32768
Torch Data Typebfloat16

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MS Fujin 2409 22B128K / 44.7 GB110
Note: green Score (e.g. "73.2") means that the model is better than ReadyArt/Retrograde-Omega-M-22B-v1.0.

Rank the Retrograde Omega M 22B V1.0 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  
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Release v20241227
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