Llama3.2 3B Insights by noaebbot

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Llama3.2 3B Insights Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama3.2 3B Insights (noaebbot/llama3.2-3B-insights)

Llama3.2 3B Insights Parameters and Internals

LLM NameLlama3.2 3B Insights
Repository ๐Ÿค—https://huggingface.co/noaebbot/llama3.2-3B-insights 
Base Model(s)  unsloth/llama-3.2-3b-instruct-bnb-4bit   unsloth/llama-3.2-3b-instruct-bnb-4bit
Model Size3b
Required VRAM6.5 GB
Updated2025-04-09
Maintainernoaebbot
Model Typellama
Instruction-BasedYes
Model Files  5.0 GB: 1-of-2   1.5 GB: 2-of-2   5.0 GB: 1-of-2   1.5 GB: 2-of-2
Supported Languagesen
Quantization Type4bit
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.46.3
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|finetune_right_pad_id|>
Vocabulary Size128256
Torch Data Typebfloat16

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Llama32 3B En Emo 300 Stp128K / 2.2 GB80
Llama32 3B En Emo 1000 Stp128K / 2.2 GB70
Llama32 3B En Emo 5000 Stp128K / 2.2 GB100
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Note: green Score (e.g. "73.2") means that the model is better than noaebbot/llama3.2-3B-insights.

Rank the Llama3.2 3B Insights 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 v20241227