KhanomTanLLM 3B by numfa

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  Autotrain compatible Dataset:wannaphong/khanomtanll...   En   Endpoints compatible   Llama   Region:us   Safetensors   Sharded   Tensorflow   Th

KhanomTanLLM 3B Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
KhanomTanLLM 3B (pythainlp/KhanomTanLLM-3B)

KhanomTanLLM 3B Parameters and Internals

Model Type 
bilingual, language model, text generation
Additional Notes 
The model is trained on freely available datasets using open-source software.
Supported Languages 
en (English), th (Thai)
Training Details 
Data Sources:
wannaphong/KhanomTanLLM-pretrained-dataset
Methodology:
Trained by EasyLM
Training Time:
8 days
Hardware Used:
TPU4-64
LLM NameKhanomTanLLM 3B
Repository ๐Ÿค—https://huggingface.co/pythainlp/KhanomTanLLM-3B 
Model Size3b
Required VRAM7.3 GB
Updated2025-06-01
Maintainernumfa
Model Typellama
Model Files  5.0 GB: 1-of-2   2.3 GB: 2-of-2
Supported Languagesen th
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length2048
Model Max Length2048
Transformers Version4.35.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size64256
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than pythainlp/KhanomTanLLM-3B.

Rank the KhanomTanLLM 3B 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227