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Openthaigpt1.5 7B Instruct by openthaigpt

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  Arxiv:2309.00071   Arxiv:2411.07238   Autotrain compatible   Conversational   Doi:10.57967/hf/3168   En   Endpoints compatible   Gguf   Instruct   Model-index   Openthaigpt   Quantized   Qwen   Qwen2   Region:us   Safetensors   Sharded   Tensorflow   Th
Model Card on HF 🤗: https://huggingface.co/openthaigpt/openthaigpt1.5-7b-instruct 

Openthaigpt1.5 7B Instruct Benchmarks

LLME Score: 0.25973
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Openthaigpt1.5 7B Instruct (openthaigpt/openthaigpt1.5-7b-instruct)

Openthaigpt1.5 7B Instruct Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
Research, Commercial applications
Applications:
Thai language instruction-based chat
Primary Use Cases:
Thai-specific domain question answering, Multi-turn conversations, Retrieval Augmented Generation (RAG) compatibility
Supported Languages 
th (native), en (native)
Training Details 
Data Sources:
Thai instruction pairs
Data Volume:
over 2,000,000 pairs
Methodology:
Fine-tuning
Context Length:
131072
Model Architecture:
Based on Qwen
Input Output 
Input Format:
ChatML
Accepted Modalities:
text
Output Format:
text
Performance Tips:
Enables RAG compatibility for enhanced response generation
LLM NameOpenthaigpt1.5 7B Instruct
Repository 🤗https://huggingface.co/openthaigpt/openthaigpt1.5-7b-instruct 
Model Size7b
Required VRAM15.2 GB
Updated2025-02-05
Maintaineropenthaigpt
Model Typeqwen2
Instruction-BasedYes
Model Files  4.9 GB: 1-of-4   4.9 GB: 2-of-4   4.3 GB: 3-of-4   1.1 GB: 4-of-4   15.2 GB   3.8 GB   4.7 GB
Supported Languagesth en
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureQwen2ForCausalLM
Licenseother
Context Length32768
Model Max Length32768
Transformers Version4.44.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than openthaigpt/openthaigpt1.5-7b-instruct.

Rank the Openthaigpt1.5 7B Instruct 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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