OpenThaiLLM Prebuilt 7B by nectec

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OpenThaiLLM Prebuilt 7B is an open-source language model by nectec. Features: 7b LLM, VRAM: 30.5GB, Context: 128K, License: apache-2.0, Fine-Tuned, LLM Explorer Score: 0.16.

  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

OpenThaiLLM Prebuilt 7B Benchmarks

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 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
Updated2026-05-26
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 1.0.011234530 GB

Best Alternatives to OpenThaiLLM Prebuilt 7B

Best Alternatives
Context / RAM
Downloads
Likes
Qwen2.5 7B Preview986K / 15.2 GB100
Qwen2.5 7B Instruct 1M986K / 15.4 GB32350369
Hush Qwen2.5 7B V1.1986K / 15.2 GB191
Hush Qwen2.5 7B V1.2986K / 15.2 GB31
Hush Qwen2.5 7B Preview986K / 15.2 GB400
Hush Qwen2.5 7B V1.4986K / 15.2 GB91
Hush Qwen2.5 7B V1.3986K / 15.2 GB182
Hush Qwen2.5 7B RP V1.4 1M986K / 15.2 GB172
Qwen 2.5 7B Exp Sce986K / 15.2 GB72
Qwen2.5 7B MixStock V0.1986K / 15.2 GB113
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 v20260328a