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Fett Uccine 7B by Epiculous

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  Autotrain compatible   Conversational   Dataset:epiculous/gnosis Dataset:grimulkan/theory-of-mi...   Dataset:lemonilia/limarp   Endpoints compatible   Instruct   Mistral   Not-for-all-audiences   Pytorch   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Epiculous/Fett-uccine-7B 

Fett Uccine 7B Benchmarks

ARC: 63.23 vs 96.7 (so35)-34.6%
HellaSwag: 86.09 vs 95.3 (gpt4)-9.7%
MMLU: 60.03 vs 88.3 (so35)-32%
TruthfulQA: 69.47 vs 59 (gpt4)17.7%
WinoGrande: 75.06 vs 87.5 (gpt4)-14.2%
GSM8K: 36.62 vs 96.4 (so35)-62%
LLME Score: 0.15519
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Fett Uccine 7B (Epiculous/Fett-uccine-7B)
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Fett Uccine 7B Parameters and Internals

LLM NameFett Uccine 7B
Repository 🤗https://huggingface.co/Epiculous/Fett-uccine-7B 
Model Size7b
Required VRAM14.4 GB
Updated2025-09-23
MaintainerEpiculous
Model Typemistral
Instruction-BasedYes
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Model ArchitectureMistralForCausalLM
Licenseagpl-3.0
Context Length32768
Model Max Length32768
Transformers Version4.37.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typebfloat16

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

Rank the Fett Uccine 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 v20241124
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