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Llama32 3B En Emo V3 by iFaz

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Llama32 3B En Emo V3 is an open-source language model by iFaz. Features: 3b LLM, VRAM: 2GB, Context: 128K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.23.

  4bit   8-bit Base model:quantized:unsloth/l... Base model:unsloth/llama-3.2-3...   Conversational   En   Endpoints compatible   Gguf   Instruct   Llama   Quantized   Region:us   Safetensors   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/iFaz/llama32_3B_en_emo_v3 

Llama32 3B En Emo V3 Benchmarks

MMLU Pro: 19
GPQA: 2.35
MUSR: 3.74
BBH: 20.1
IFEval: 57.59 vs 88 (so35)-34.6%
MATH Lvl 5: 6.8
LLME Score: 0.23118
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama32 3B En Emo V3 (iFaz/llama32_3B_en_emo_v3)
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Llama32 3B En Emo V3 Parameters and Internals

LLM NameLlama32 3B En Emo V3
Repository 🤗https://huggingface.co/iFaz/llama32_3B_en_emo_v3 
Base Model(s)  unsloth/Llama-3.2-3B-Instruct-bnb-4bit   unsloth/Llama-3.2-3B-Instruct-bnb-4bit
Model Size3b
Required VRAM2 GB
Updated2026-04-20
MaintaineriFaz
Model Typellama
Instruction-BasedYes
Model Files  2.2 GB   2.0 GB
Supported Languagesen
GGUF QuantizationYes
Quantization Typegguf|4bit
Model ArchitectureAutoModel
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.48.3
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|finetune_right_pad_id|>
Vocabulary Size128256
Torch Data Typefloat16

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Rank the Llama32 3B En Emo V3 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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