Llama 3.2 400M Amharic by rasyosef

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Llama 3.2 400M Amharic is an open-source language model by rasyosef. Features: 400m LLM, VRAM: 1.6GB, Context: 1K, LLM Explorer Score: 0.16.

  Am   Dataset:legacy-datasets/mc4   Dataset:oscar-corpus/oscar Dataset:rasyosef/amharic-sente...   Deploy:azure   Endpoints compatible   Llama   Region:us   Safetensors

Llama 3.2 400M Amharic 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 400M Amharic (rasyosef/Llama-3.2-400M-Amharic)

Llama 3.2 400M Amharic Parameters and Internals

LLM NameLlama 3.2 400M Amharic
Repository 🤗https://huggingface.co/rasyosef/Llama-3.2-400M-Amharic 
Model Size400m
Required VRAM1.6 GB
Updated2026-07-24
Maintainerrasyosef
Model Typellama
Model Files  1.6 GB
Supported Languagesam
Model ArchitectureLlamaForCausalLM
Context Length1024
Model Max Length1024
Transformers Version4.47.1
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|end_of_text|>
Vocabulary Size32000
Torch Data Typefloat32

Rank the Llama 3.2 400M Amharic 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