NepaliGPT 2.0 by universalml

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  Autotrain compatible Base model:finetune:meta-llama... Base model:meta-llama/llama-3....   Conversational   En   Endpoints compatible   Instruct   Llama   Ne   Region:us   Safetensors   Sft   Sharded   Tensorflow   Trl   Unsloth

NepaliGPT 2.0 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
NepaliGPT 2.0 (universalml/NepaliGPT-2.0)
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NepaliGPT 2.0 Parameters and Internals

LLM NameNepaliGPT 2.0
Repository ๐Ÿค—https://huggingface.co/universalml/NepaliGPT-2.0 
Base Model(s)  meta-llama/Llama-3.1-8B-Instruct   meta-llama/Llama-3.1-8B-Instruct
Model Size8b
Required VRAM16.1 GB
Updated2025-07-19
Maintaineruniversalml
Model Typellama
Instruction-BasedYes
Model Files  5.0 GB: 1-of-4   5.0 GB: 2-of-4   4.9 GB: 3-of-4   1.2 GB: 4-of-4
Supported Languagesen ne
Model ArchitectureLlamaForCausalLM
Licensemit
Context Length131072
Model Max Length131072
Transformers Version4.44.0
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|finetune_right_pad_id|>
Vocabulary Size128256
Torch Data Typebfloat16

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...dger Nu Llama 3.1 8B UltraLong1048K / 16.2 GB43
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Note: green Score (e.g. "73.2") means that the model is better than universalml/NepaliGPT-2.0.

Rank the NepaliGPT 2.0 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124