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Myanmar GPT Health Faq by la-min

 »  All LLMs  »  la-min  »  Myanmar GPT Health Faq   URL Share it on

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  8-bit   Adapter Base model:adapter:wynn747/bur... Base model:wynn747/burmese-gpt...   Bitsandbytes   Finetuned   Gpt2   Lora   My   Peft   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/la-min/myanmar-gpt-health-faq 

Myanmar GPT Health Faq Benchmarks

LLME Score: 0.15649
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Myanmar GPT Health Faq (la-min/myanmar-gpt-health-faq)

Myanmar GPT Health Faq Parameters and Internals

Model Type 
GPT Causual LLM, text-generation
Use Cases 
Primary Use Cases:
Answering health-related questions in Myanmar
Additional Notes 
Due to a lack of training data, the model output cannot produce satisfactory results. More data is needed for training.
Supported Languages 
my (proficient)
Training Details 
Data Volume:
800 health-related question and response data points
Methodology:
Trained on WYNN747/Burmese-GPT-v3 with QLoRA for efficient fine tuning
LLM NameMyanmar GPT Health Faq
Repository 🤗https://huggingface.co/la-min/myanmar-gpt-health-faq 
Base Model(s)  WYNN747/Burmese-GPT-v3   WYNN747/Burmese-GPT-v3
Model Size1.4b
Required VRAM1.6 GB
Updated2025-02-22
Maintainerla-min
Model Files  0.0 GB   1.6 GB
Supported Languagesmy
Model ArchitectureAdapter
Model Max Length2048
Is Biasednone
Tokenizer ClassGPT2Tokenizer
Padding Token<|endoftext|>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesc_proj|c_attn
LoRA Alpha32
LoRA Dropout0.05
R Param16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than la-min/myanmar-gpt-health-faq.

Rank the Myanmar GPT Health Faq 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 v20241227
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