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WangchanLion7B by airesearch

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  Merged Model   Autotrain compatible   Custom code Dataset:cognitivecomputations/... Dataset:databricks/databricks-... Dataset:garage-baind/open-plat...   Dataset:hello-simpleai/hc3   Dataset:iapp wiki qa squad   Dataset:laion/oig   Dataset:muennighoff/xp3x Dataset:openai/summarize from ... Dataset:pythainlp/han-instruct...   Dataset:scb mt enth 2020   Dataset:thaisum   En   Endpoints compatible   Instruct   Mpt   Pytorch   Region:us   Sharded   Th
Model Card on HF 🤗: https://huggingface.co/airesearch/WangchanLion7B 

WangchanLion7B Benchmarks

LLME Score: 0.12867
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
WangchanLion7B (airesearch/WangchanLion7B)
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WangchanLion7B Parameters and Internals

Model Type 
Multilingual, Instruction-following, MPT architecture
Use Cases 
Areas:
Research, Commercial Applications
Applications:
Reading Comprehension, Brainstorming, Creative Writing
Primary Use Cases:
Instruction-following tasks
Limitations:
Math problems, Reasoning, Factfulness
Considerations:
Users should be aware of biases and limitations.
Additional Notes 
The model focuses on transparency regarding data, code, and processes. Finetuning datasets are open and commercially permissible.
Supported Languages 
primary (Thai), secondary (English), additional ()
Training Details 
Data Sources:
laion/OIG, databricks/databricks-dolly-15k, thaisum, scb_mt_enth_2020, garage-bAInd/Open-Platypus, iapp_wiki_qa_squad, pythainlp/han-instruct-dataset-v1.0, cognitivecomputations/dolphin, Hello-SimpleAI/HC3, Muennighoff/xP3x, openai/summarize_from_feedback
Methodology:
Instruction-finetuned, QLoRA with 4 A100 GPUs
Model Architecture:
MPT
LLM NameWangchanLion7B
Repository 🤗https://huggingface.co/airesearch/WangchanLion7B 
Merged ModelYes
Required VRAM29.8 GB
Updated2025-10-02
Maintainerairesearch
Model Typempt
Instruction-BasedYes
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Supported Languagesth en
Model ArchitectureMPTForCausalLM
Licenseapache-2.0
Transformers Version4.34.1
Vocabulary Size256000
Torch Data Typefloat32

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Rank the WangchanLion7B 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 v20241124
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