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Merak 7B V3 by Ichsan2895

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Merak 7B V3 is an open-source language model by Ichsan2895. Features: 7b LLM, VRAM: 27.1GB, Context: 4K, License: cc-by-nc-sa-4.0, LLM Explorer Score: 0.09.

  Arxiv:2305.14314   Arxiv:2307.09288 Dataset:ichsan2895/alpaca-gpt4... Dataset:ichsan2895/oasst top1 ...   Dataset:wikipedia   En   Endpoints compatible   Id   Llama   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/Ichsan2895/Merak-7B-v3 

Merak 7B V3 Benchmarks

LLME Score: 0.08999
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Merak 7B V3 (Ichsan2895/Merak-7B-v3)
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Merak 7B V3 Parameters and Internals

Model Type 
text-generation
Supported Languages 
id (Indonesian), en (English)
Training Details 
Data Sources:
Wikipedia, Ichsan2895/OASST_Top1_Indonesian, Ichsan2895/alpaca-gpt4-indonesian
Methodology:
Leveraging QLoRA (Efficient Finetuning of Quantized LLMs)
Input Output 
Performance Tips:
For better answer, don’t use BitsandBytes 4-bit Quantization but use higher VRAM.
Release Notes 
Version:
v3
Notes:
Fine tuned by Ichsan2895/OASST_Top1_Indonesian & Ichsan2895/alpaca-gpt4-indonesian
Version:
v2
Notes:
Finetuned version of first Merak-7B model. Changes prompt-style in the questions with 600k ID wikipedia articles.
Version:
v1
Notes:
The first Merak-7B model. Selected and cleaned about 200k ID wikipedia articles.
LLM NameMerak 7B V3
Repository 🤗https://huggingface.co/Ichsan2895/Merak-7B-v3 
Model Size7b
Required VRAM27.1 GB
Updated2026-03-29
MaintainerIchsan2895
Model Typellama
Model Files  4.8 GB: 1-of-6   4.9 GB: 2-of-6   4.9 GB: 3-of-6   4.9 GB: 4-of-6   4.9 GB: 5-of-6   2.7 GB: 6-of-6
Supported Languagesid en
Model ArchitectureLlamaForCausalLM
Licensecc-by-nc-sa-4.0
Context Length4096
Model Max Length4096
Transformers Version4.31.0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than Ichsan2895/Merak-7B-v3.

Rank the Merak 7B V3 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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