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Impish LLAMA 3B by SicariusSicariiStuff

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  En   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/SicariusSicariiStuff/Impish_LLAMA_3B 

Impish LLAMA 3B Benchmarks

MMLU Pro: 21.57
GPQA: 5.03
MUSR: 5.61
BBH: 16.99
IFEval: 46.3 vs 88 (so35)-47.4%
MATH Lvl 5: 11.25
LLME Score: 0.27683
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Impish LLAMA 3B (SicariusSicariiStuff/Impish_LLAMA_3B)

Impish LLAMA 3B Parameters and Internals

Model Type 
Role-Play, General tasks
Use Cases 
Areas:
Role-Play, General tasks
Supported Languages 
en (English)
Training Details 
Data Volume:
~25M tokens
Methodology:
Trained in 3 phases using FFT and QLORA techniques
LLM NameImpish LLAMA 3B
Repository 🤗https://huggingface.co/SicariusSicariiStuff/Impish_LLAMA_3B 
Model Size3b
Required VRAM6.5 GB
Updated2025-03-18
MaintainerSicariusSicariiStuff
Model Typellama
Model Files  5.0 GB: 1-of-2   1.5 GB: 2-of-2
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.44.0.dev0
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|end_of_text|>
Vocabulary Size128256
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than SicariusSicariiStuff/Impish_LLAMA_3B.

Rank the Impish LLAMA 3B 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 v20241227
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