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Llama3 2B Base by andrijdavid

 »  All LLMs  »  andrijdavid  »  Llama3 2B Base   URL Share it on

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  Autotrain compatible   Conversational   En   Endpoints compatible   Instruct   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/andrijdavid/Llama3-2B-Base 

Llama3 2B Base Benchmarks

LLME Score: 0.17217
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama3 2B Base (andrijdavid/Llama3-2B-Base)
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Llama3 2B Base Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
research, commercial applications
Applications:
natural language processing tasks
Primary Use Cases:
Text generation, Question answering, Sentiment analysis, Translation, Summarization
Limitations:
may generate factually incorrect or biased outputs, may produce offensive or inappropriate content
Considerations:
Users and developers should implement mitigation strategies for biases and offensive content.
Additional Notes 
The model is designed to be efficient for environments with limited computational resources while retaining capabilities of larger LLMs.
Supported Languages 
en (primary)
Input Output 
Accepted Modalities:
text
LLM NameLlama3 2B Base
Repository 🤗https://huggingface.co/andrijdavid/Llama3-2B-Base 
Model Size2b
Required VRAM4.7 GB
Updated2025-09-23
Maintainerandrijdavid
Model Typellama
Instruction-BasedYes
Model Files  4.7 GB: 1-of-1
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licensecc-by-4.0
Context Length8192
Model Max Length8192
Transformers Version4.41.2
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typebfloat16

Best Alternatives to Llama3 2B Base

Best Alternatives
Context / RAM
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Likes
Salamandra 2B Fft Trenes8K / 4.5 GB320
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Salamandra 2B Instruct8K / 4.5 GB306824
Note: green Score (e.g. "73.2") means that the model is better than andrijdavid/Llama3-2B-Base.

Rank the Llama3 2B Base Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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
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