Una Cybertron 7B V3 OMA by fblgit

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Una Cybertron 7B V3 OMA Benchmarks

Una Cybertron 7B V3 OMA (fblgit/una-cybertron-7b-v3-OMA)
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Una Cybertron 7B V3 OMA Parameters and Internals

Model Type 
MistralAI 7B
Additional Notes 
The model excels in mathematics, logic, reasoning, overall very smart. It can perform deep reasoning over the context and prompt.
Training Details 
Methodology:
Adiestrated with UNA: Uniform Neural Alignment technique.
Context Length:
16000
Training Time:
funded by Cybertron's H100's with few hours training.
Input Output 
Input Format:
ChatML format and Alpaca System
Performance Tips:
Using Exllamav2_HF set alpha=2.5 for 16K Context
LLM NameUna Cybertron 7B V3 OMA
Repository ๐Ÿค—https://huggingface.co/fblgit/una-cybertron-7b-v3-OMA 
Model Size7b
Required VRAM14.4 GB
Updated2025-09-18
Maintainerfblgit
Model Typemistral
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.35.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16

Quantized Models of the Una Cybertron 7B V3 OMA

Model
Likes
Downloads
VRAM
Una Cybertron 7B V3 OMA GGUF91823 GB
Una Cybertron 7B V3 OMA GPTQ164 GB
Una Cybertron 7B V3 OMA AWQ094 GB

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Note: green Score (e.g. "73.2") means that the model is better than fblgit/una-cybertron-7b-v3-OMA.

Rank the Una Cybertron 7B V3 OMA 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124