Llama 3.2 3B Instruct XMADai INT4 by xmadai

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Llama 3.2 3B Instruct XMADai INT4 is an open-source language model by xmadai. Features: 3b LLM, VRAM: 3GB, Context: 128K, License: llama3.2, Quantized, Instruction-Based, LLM Explorer Score: 0.16.

  4-bit   4bit Base model:meta-llama/llama-3.... Base model:quantized:meta-llam...   Conversational   Endpoints compatible   Gptq   Instruct   Llama   Quantized   Region:us

Llama 3.2 3B Instruct XMADai INT4 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 3.2 3B Instruct XMADai INT4 (xmadai/Llama-3.2-3B-Instruct-xMADai-INT4)
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Llama 3.2 3B Instruct XMADai INT4 Parameters and Internals

LLM NameLlama 3.2 3B Instruct XMADai INT4
Repository ๐Ÿค—https://huggingface.co/xmadai/Llama-3.2-3B-Instruct-xMADai-INT4 
Base Model(s)  meta-llama/Llama-3.2-3B-Instruct   meta-llama/Llama-3.2-3B-Instruct
Model Size3b
Required VRAM3 GB
Updated2026-03-29
Maintainerxmadai
Model Typellama
Instruction-BasedYes
Model Files  3.0 GB   3.0 GB
GPTQ QuantizationYes
Quantization Typegptq|4bit
Model ArchitectureLlamaForCausalLM
Licensellama3.2
Context Length131072
Model Max Length131072
Transformers Version4.44.2
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typefloat16

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Llama32 3B En Emo 2000 Stp128K / 2.2 GB500
Llama32 3B En Emo 300 Stp128K / 2.2 GB100
Llama32 3B En Emo 1000 Stp128K / 2.2 GB60
Llama32 3B En Emo 5000 Stp128K / 2.2 GB50
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ReasoningCore 3B 0128K / 6.5 GB102
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Note: green Score (e.g. "73.2") means that the model is better than xmadai/Llama-3.2-3B-Instruct-xMADai-INT4.

Rank the Llama 3.2 3B Instruct XMADai INT4 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 v20260328a