Una Cybertron 7B V3 OMA GPTQ by TheBloke

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  4-bit   Autotrain compatible Base model:fblgit/una-cybertro... Base model:quantized:fblgit/un...   Cybertron Dataset:fblgit/tree-of-knowled...   Gptq   Juanako   Mistral   Quantized   Region:us   Safetensors   Una   Xaberius

Una Cybertron 7B V3 OMA GPTQ Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Una Cybertron 7B V3 OMA GPTQ (TheBloke/una-cybertron-7B-v3-OMA-GPTQ)
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Una Cybertron 7B V3 OMA GPTQ Parameters and Internals

Model Type 
MistralAI 7B
Additional Notes 
The model excels in mathematics, logic, reasoning, and can make deep reasoning over the context and prompt.
Training Details 
Methodology:
Adiestrated with UNA: Uniform Neural Alignment technique
Context Length:
16000
LLM NameUna Cybertron 7B V3 OMA GPTQ
Repository ๐Ÿค—https://huggingface.co/TheBloke/una-cybertron-7B-v3-OMA-GPTQ 
Model NameUna Cybertron 7B V3 OMA
Model CreatorFBL
Base Model(s)  Una Cybertron 7B V3 OMA   fblgit/una-cybertron-7b-v3-OMA
Model Size7b
Required VRAM4.2 GB
Updated2025-09-18
MaintainerTheBloke
Model Typemistral
Model Files  4.2 GB
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.35.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16

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

Rank the Una Cybertron 7B V3 OMA GPTQ 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