Llama 3.2 3B Instruct XMADai INT4 by xmadai

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  4-bit   4bit   Autotrain compatible 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").
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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
Updated2025-06-09
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
Llama 3.2 3B Instruct XMADai INT4 (xmadai/Llama-3.2-3B-Instruct-xMADai-INT4)

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Llama32 3B En Emo 2000 Stp128K / 2.2 GB380
Llama32 3B En Emo 300 Stp128K / 2.2 GB290
Llama32 3B En Emo 1000 Stp128K / 2.2 GB210
Llama32 3B En Emo 5000 Stp128K / 2.2 GB300
ReasoningCore 3B 0128K / 6.5 GB432
...ngCore 3B Instruct R01 Reflect128K / 6.5 GB01
....1 Pretrained Unsloth Bnb 4bit128K / 2.5 GB34113
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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124