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IndoWebGen 7B by alxxtexxr

 »  All LLMs  »  alxxtexxr  »  IndoWebGen 7B   URL Share it on

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  Arxiv:2106.09685   Arxiv:2308.12950   Codegen Dataset:alxxtexxr/indowebgen-d...   Endpoints compatible   Id   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/alxxtexxr/IndoWebGen-7B 

IndoWebGen 7B Benchmarks

LLME Score: 0.12674
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
IndoWebGen 7B (alxxtexxr/IndoWebGen-7B)
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IndoWebGen 7B Parameters and Internals

Model Type 
text generation, website generation
Use Cases 
Areas:
automated website generation
Applications:
single-page static websites
Primary Use Cases:
portfolio websites
Limitations:
Limited training data (500 samples), Generates single-page static websites, Content is dummy and requires customization
Additional Notes 
Model generates websites based on Indonesian instructions.
Supported Languages 
id (fluent)
Training Details 
Data Sources:
alxxtexxr/indowebgen-dataset
Data Volume:
500 data
Methodology:
LoRA finetuning
Input Output 
Input Format:
instruction in Indonesian
Accepted Modalities:
text
Output Format:
HTML code
LLM NameIndoWebGen 7B
Repository 🤗https://huggingface.co/alxxtexxr/IndoWebGen-7B 
Model Size7b
Required VRAM26.9 GB
Updated2025-12-14
Maintaineralxxtexxr
Model Typellama
Model Files  6.8 GB: 1-of-4   6.9 GB: 2-of-4   6.8 GB: 3-of-4   6.4 GB: 4-of-4
Supported Languagesid
Generates CodeYes
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length16384
Model Max Length16384
Transformers Version4.36.2
Tokenizer ClassCodeLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32016
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than alxxtexxr/IndoWebGen-7B.

Rank the IndoWebGen 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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