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Distilgpt2 Nepali Single Qs Generator by Bibek1129

 »  All LLMs  »  Bibek1129  »  Distilgpt2 Nepali Single Qs Generator   URL Share it on

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  Adapter Base model:adapter:sakonii/dis... Base model:sakonii/distilgpt2-... Dataset:bibek1129/nepali squad...   Finetuned   Lora   Ne   Peft   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/Bibek1129/distilgpt2-nepali-single-qs-generator 

Distilgpt2 Nepali Single Qs Generator Benchmarks

LLME Score: 0.14155
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Distilgpt2 Nepali Single Qs Generator (Bibek1129/distilgpt2-nepali-single-qs-generator)
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Distilgpt2 Nepali Single Qs Generator Parameters and Internals

Model Type 
distilgpt2, text generation
Additional Notes 
The model is specifically fine-tuned for generating questions in Nepali based on given context.
Supported Languages 
Nepali (NLP (Natural Language Processing))
Training Details 
Data Sources:
Bibek1129/nepali_SQuAD_single_qsn
Methodology:
The dataset is created by converting SQuAD dataset to nepali using Nepali_nlp and trained with the lora config (rank=32,lora_alpha=64) with 512 tokens per instance, 4 instances per batch, and around 118.1K training steps.
Context Length:
512
LLM NameDistilgpt2 Nepali Single Qs Generator
Repository 🤗https://huggingface.co/Bibek1129/distilgpt2-nepali-single-qs-generator 
Base Model(s)  Distilgpt2 Nepali   Sakonii/distilgpt2-nepali
Required VRAM0 GB
Updated2025-09-23
MaintainerBibek1129
Model Files  0.2 GB   0.0 GB   0.0 GB   0.0 GB
Supported Languagesne
Model ArchitectureAdapter
Licenseapache-2.0
Model Max Length512
Is Biasednone
Tokenizer ClassXLMRobertaTokenizer
Padding Token</s>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Moduleslm_head|c_proj|c_fc|c_attn
LoRA Alpha64
LoRA Dropout0.05
R Param32

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Note: green Score (e.g. "73.2") means that the model is better than Bibek1129/distilgpt2-nepali-single-qs-generator.

Rank the Distilgpt2 Nepali Single Qs Generator 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
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