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Tibetan Roberta Causal Base by sangjeedondrub

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  Autotrain compatible   Bo   Endpoints compatible   Pytorch   Region:us   Roberta   Tibetan
Model Card on HF 🤗: https://huggingface.co/sangjeedondrub/tibetan-roberta-causal-base 

Tibetan Roberta Causal Base Benchmarks

LLME Score: 0.01484
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Tibetan Roberta Causal Base (sangjeedondrub/tibetan-roberta-causal-base)
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Tibetan Roberta Causal Base Parameters and Internals

Model Type 
pretrained causal language model
Additional Notes 
The model is developed to improve familiarity with Transformers APIs.
Supported Languages 
Tibetan (Proficient)
LLM NameTibetan Roberta Causal Base
Repository 🤗https://huggingface.co/sangjeedondrub/tibetan-roberta-causal-base 
Required VRAM0.3 GB
Updated2025-09-23
Maintainersangjeedondrub
Model Typeroberta
Model Files  0.3 GB
Supported Languagesbo
Model ArchitectureRobertaForCausalLM
Licensemit
Context Length514
Model Max Length514
Transformers Version4.18.0
Tokenizer ClassRobertaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size52000
Torch Data Typefloat32
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than sangjeedondrub/tibetan-roberta-causal-base.

Rank the Tibetan Roberta Causal Base Capabilities

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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