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OpenThaiLLM Prebuilt 7B by nectec

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  Arxiv:2407.10671 Base model:finetune:qwen/qwen2...   Base model:qwen/qwen2.5-7b   Biology   Chemistry   Code   Conversational   En   Finance   Finetuned   Legal   Medical   Pytorch   Qwen2   Region:us   Safetensors   Sharded   Tensorflow   Th   Zh
Model Card on HF 🤗: https://huggingface.co/nectec/OpenThaiLLM-Prebuilt-7B 

OpenThaiLLM Prebuilt 7B Benchmarks

LLME Score: 0.20516
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
OpenThaiLLM Prebuilt 7B (nectec/OpenThaiLLM-Prebuilt-7B)
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OpenThaiLLM Prebuilt 7B Parameters and Internals

LLM NameOpenThaiLLM Prebuilt 7B
Repository 🤗https://huggingface.co/nectec/OpenThaiLLM-Prebuilt-7B 
Base Model(s)  Qwen/Qwen2.5-7B   Qwen/Qwen2.5-7B
Model Size7b
Required VRAM30.5 GB
Updated2025-06-13
Maintainernectec
Model Typeqwen2
Model Files  5.0 GB: 1-of-7   4.8 GB: 2-of-7   4.9 GB: 3-of-7   4.9 GB: 4-of-7   5.0 GB: 5-of-7   3.7 GB: 6-of-7   2.2 GB: 7-of-7   30.5 GB
Supported Languagesth zh en
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.43.3
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

Quantized Models of the OpenThaiLLM Prebuilt 7B

Model
Likes
Downloads
VRAM
Pathumma Llm Text 1.0.09419130 GB

Best Alternatives to OpenThaiLLM Prebuilt 7B

Best Alternatives
Context / RAM
Downloads
Likes
Qwen2.5 7B Instruct 1M986K / 15.4 GB1046842329
Qwen2.5 7B RRP 1M986K / 15.2 GB11606
Hush Qwen2.5 7B Preview986K / 15.2 GB670
Hush Qwen2.5 7B V1.1986K / 15.2 GB141
Hush Qwen2.5 7B V1.2986K / 15.2 GB121
Hush Qwen2.5 7B V1.4986K / 15.2 GB151
Hush Qwen2.5 7B V1.3986K / 15.2 GB142
Qwen2.5 7B Preview986K / 15.2 GB150
Hush Qwen2.5 7B RP V1.4 1M986K / 15.2 GB142
Qwen 2.5 7B Exp Sce986K / 15.2 GB112
Note: green Score (e.g. "73.2") means that the model is better than nectec/OpenThaiLLM-Prebuilt-7B.

Rank the OpenThaiLLM Prebuilt 7B Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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 v20241124
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