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Llama 3.2 1B Instruct Commonsense Qa by ank028

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Llama 3.2 1B Instruct Commonsense Qa is an open-source language model by ank028. Features: 1b LLM, VRAM: 4.9GB, Context: 128K, Instruction-Based, LLM Explorer Score: 0.16.

  Arxiv:1910.09700   Autotrain compatible   Endpoints compatible   Instruct   Llama   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/ank028/Llama-3.2-1B-Instruct-commonsense_qa 

Llama 3.2 1B Instruct Commonsense Qa Benchmarks

LLME Score: 0.16125
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 1B Instruct Commonsense Qa (ank028/Llama-3.2-1B-Instruct-commonsense_qa)
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Llama 3.2 1B Instruct Commonsense Qa Parameters and Internals

LLM NameLlama 3.2 1B Instruct Commonsense Qa
Repository 🤗https://huggingface.co/ank028/Llama-3.2-1B-Instruct-commonsense_qa 
Model Size1b
Required VRAM4.9 GB
Updated2025-09-23
Maintainerank028
Model Typellama
Instruction-BasedYes
Model Files  4.9 GB
Model ArchitectureLlamaForCausalLM
Context Length131072
Model Max Length131072
Transformers Version4.45.1
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|end_of_text|>
Vocabulary Size128257
Torch Data Typefloat32

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...p Llama 3.2 1B Instruct Datav2128K / 16.1 GB260
BunderMaxx 1010128K / 2.5 GB141
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... 6 1B Instruct Abliterated LPL128K / 2.5 GB50
Note: green Score (e.g. "73.2") means that the model is better than ank028/Llama-3.2-1B-Instruct-commonsense_qa.

Rank the Llama 3.2 1B Instruct Commonsense Qa 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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