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TAIDE 7B Thai Pretrain LoRA by Wilailack

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  Autotrain compatible   Endpoints compatible   Llama   Lora   Multilingual   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Wilailack/TAIDE-7B-Thai-Pretrain-LoRA 

TAIDE 7B Thai Pretrain LoRA Benchmarks

LLME Score: 0.19187
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
TAIDE 7B Thai Pretrain LoRA (Wilailack/TAIDE-7B-Thai-Pretrain-LoRA)

TAIDE 7B Thai Pretrain LoRA Parameters and Internals

Model Type 
machine translation
Additional Notes 
Employs a two-stage fine-tuning process for enhanced translation proficiency.
Supported Languages 
Traditional Chinese (natural), Thai (natural)
Training Details 
Data Sources:
one million Thai language instances, Traditional Chinese-Thai parallel data
Methodology:
Advanced Language Model-based Translator (ALMA) strategy
Input Output 
Input Format:
text prompt (source language sentence)
Accepted Modalities:
text
Output Format:
translated text
LLM NameTAIDE 7B Thai Pretrain LoRA
Repository 🤗https://huggingface.co/Wilailack/TAIDE-7B-Thai-Pretrain-LoRA 
Model Size7b
Required VRAM13.9 GB
Updated2025-02-05
MaintainerWilailack
Model Files  0.0 GB   5.0 GB: 1-of-3   4.9 GB: 2-of-3   4.0 GB: 3-of-3
Model ArchitectureAutoModelForCausalLM
Is Biasednone
Tokenizer ClassLlamaTokenizer
Padding Token<pad>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesdown_proj
LoRA Alpha32
LoRA Dropout0.05
R Param16

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Note: green Score (e.g. "73.2") means that the model is better than Wilailack/TAIDE-7B-Thai-Pretrain-LoRA.

Rank the TAIDE 7B Thai Pretrain LoRA 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  
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Release v20241227
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