Llama 3.2 3B Instruct Yahoo Finetuned by angelazhang05

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Llama 3.2 3B Instruct Yahoo Finetuned is an open-source language model by angelazhang05. Features: 3b LLM, VRAM: 6.5GB, Context: 128K, Fine-Tuned, Instruction-Based, LLM Explorer Score: 0.19.

  Arxiv:1910.09700   Conversational   Endpoints compatible   Finetuned   Instruct   Llama   Llama-factory   Region:us   Safetensors   Sharded   Tensorflow

Llama 3.2 3B Instruct Yahoo Finetuned 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 Yahoo Finetuned (angelazhang05/Llama-3.2-3B-Instruct-yahoo-finetuned)
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Llama 3.2 3B Instruct Yahoo Finetuned Parameters and Internals

LLM NameLlama 3.2 3B Instruct Yahoo Finetuned
Repository ๐Ÿค—https://huggingface.co/angelazhang05/Llama-3.2-3B-Instruct-yahoo-finetuned 
Model Size3b
Required VRAM6.5 GB
Updated2026-04-03
Maintainerangelazhang05
Model Typellama
Instruction-BasedYes
Model Files  5.0 GB: 1-of-2   1.5 GB: 2-of-2
Model ArchitectureLlamaForCausalLM
Context Length131072
Model Max Length131072
Transformers Version4.48.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|eot_id|>
Vocabulary Size128256
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than angelazhang05/Llama-3.2-3B-Instruct-yahoo-finetuned.

Rank the Llama 3.2 3B Instruct Yahoo Finetuned 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