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CleverBoi Llama 3.1 8B Instruct by theprint

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CleverBoi Llama 3.1 8B Instruct is an open-source language model by theprint. Features: 8b LLM, VRAM: 0.2GB, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.19.

  4bit Base model:quantized:unsloth/m... Base model:unsloth/meta-llama-...   Cleverboi   Conversational   Dataset:theprint/cleverboi   En   Endpoints compatible   Gguf   Instruct   Llama   Lora   Model-index   Quantized   Region:us   Safetensors   Theprint   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/theprint/CleverBoi-Llama-3.1-8B-Instruct 

CleverBoi Llama 3.1 8B Instruct Benchmarks

MMLU Pro: 23.06
GPQA: 6.71
MUSR: 8.28
BBH: 24.05
IFEval: 16.82 vs 88 (so35)-80.9%
MATH Lvl 5: 4.91
LLME Score: 0.19155
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
CleverBoi Llama 3.1 8B Instruct (theprint/CleverBoi-Llama-3.1-8B-Instruct)
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CleverBoi Llama 3.1 8B Instruct Parameters and Internals

LLM NameCleverBoi Llama 3.1 8B Instruct
Repository 🤗https://huggingface.co/theprint/CleverBoi-Llama-3.1-8B-Instruct 
Base Model(s)  unsloth/Meta-Llama-3.1-8B-Instruct-bnb-4bit   unsloth/Meta-Llama-3.1-8B-Instruct-bnb-4bit
Model Size8b
Required VRAM0.2 GB
Updated2026-03-29
Maintainertheprint
Instruction-BasedYes
Model Files  16.1 GB   16.1 GB   3.2 GB   3.7 GB   4.9 GB   4.7 GB   5.7 GB   6.6 GB   8.5 GB   0.2 GB
Supported Languagesen
GGUF QuantizationYes
Quantization Type4bit|gguf
Model ArchitectureAutoModel
Licenseapache-2.0
Model Max Length131072
Is Biasednone
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|finetune_right_pad_id|>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesup_proj|o_proj|v_proj|down_proj|gate_proj|k_proj|q_proj
LoRA Alpha16
LoRA Dropout0
R Param16

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Note: green Score (e.g. "73.2") means that the model is better than theprint/CleverBoi-Llama-3.1-8B-Instruct.

Rank the CleverBoi Llama 3.1 8B Instruct 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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