Llama 3.2 1B En Vi by duyhv1411

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Llama 3.2 1B En Vi is an open-source language model by duyhv1411. Features: 1b LLM, VRAM: 4.9GB, Context: 128K, Instruction-Based, LLM Explorer Score: 0.21.

Base model:duyhv1411/llama-3.2... Base model:finetune:duyhv1411/...   Chat   Conversational   En   Finetuned   Instruct   Llama   Peft   Region:us   Safetensors   Vi

Llama 3.2 1B En Vi 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 1B En Vi Parameters and Internals

LLM NameLlama 3.2 1B En Vi
Repository 🤗https://huggingface.co/duyhv1411/Llama-3.2-1B-en-vi 
Model NameLlama-3.2-1B-en-vi
Base Model(s)  duyhv1411/Llama-3.2-1B-en-vi   duyhv1411/Llama-3.2-1B-en-vi
Model Size1b
Required VRAM4.9 GB
Updated2026-04-21
Maintainerduyhv1411
Model Typellama
Instruction-BasedYes
Model Files  4.9 GB
Supported Languagesen vi
Model ArchitectureLlamaForCausalLM
Context Length131072
Model Max Length131072
Transformers Version4.43.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|eot_id|>
Vocabulary Size128256
Torch Data Typefloat32

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Llama 3.2 1B Instruct128K / 2.5 GB54644911116
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Llama 3.2 1B Instruct Bf16128K / 2.5 GB9245
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Llama 3.2 OctoThinker INano 1B128K / 3 GB2421
...enchmaxx Llama 3.2 1B Instruct128K / 0 GB246
...p Llama 3.2 1B Instruct Datav2128K / 16.1 GB380
...ofu Llama 3.2 1B Instruct Full128K / 2.5 GB277980
Note: green Score (e.g. "73.2") means that the model is better than duyhv1411/Llama-3.2-1B-en-vi.

Rank the Llama 3.2 1B En Vi 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