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Gladiator Mini Exp 1222 3B Instruct by MultivexAI

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  4bit Base model:finetune:meta-llama... Base model:meta-llama/llama-3....   En   Instruct   Llama   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/MultivexAI/Gladiator-Mini-Exp-1222-3B-Instruct 

Gladiator Mini Exp 1222 3B Instruct Benchmarks

MMLU Pro: 22.41
GPQA: 1.79
MUSR: 1.6
BBH: 20.57
IFEval: 61.63 vs 88 (so35)-30%
MATH Lvl 5: 14.12
LLME Score: 0.29239
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Gladiator Mini Exp 1222 3B Instruct (MultivexAI/Gladiator-Mini-Exp-1222-3B-Instruct)

Gladiator Mini Exp 1222 3B Instruct Parameters and Internals

LLM NameGladiator Mini Exp 1222 3B Instruct
Repository 🤗https://huggingface.co/MultivexAI/Gladiator-Mini-Exp-1222-3B-Instruct 
Base Model(s)  meta-llama/Llama-3.2-3B-Instruct   meta-llama/Llama-3.2-3B-Instruct
Model Size3b
Required VRAM6.5 GB
Updated2025-03-12
MaintainerMultivexAI
Model Typellama
Instruction-BasedYes
Model Files  5.0 GB: 1-of-2   1.5 GB: 2-of-2
Supported Languagesen
Quantization Type4bit
Model ArchitectureLlamaForCausalLM
Licensemit
Context Length131072
Model Max Length131072
Transformers Version4.46.3
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|finetune_right_pad_id|>
Vocabulary Size128256
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than MultivexAI/Gladiator-Mini-Exp-1222-3B-Instruct.

Rank the Gladiator Mini Exp 1222 3B 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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Release v20241227
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