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Merak 7B V3 Mini Orca Indo by asyafiqe

 »  All LLMs  »  asyafiqe  »  Merak 7B V3 Mini Orca Indo   URL Share it on

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Merak 7B V3 Mini Orca Indo is an open-source language model by asyafiqe. Features: 7b LLM, VRAM: 13.6GB, Context: 4K, License: cc-by-nc-sa-4.0, LLM Explorer Score: 0.09.

  Arxiv:2307.09288 Dataset:asyafiqe/orca mini v1 ...   En   Id   Llama   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/asyafiqe/Merak-7B-v3-Mini-Orca-Indo 

Merak 7B V3 Mini Orca Indo Benchmarks

LLME Score: 0.09098
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 Mini Orca Indo (asyafiqe/Merak-7B-v3-Mini-Orca-Indo)
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Merak 7B V3 Mini Orca Indo Parameters and Internals

Model Type 
fine-tuned
Use Cases 
Areas:
chat applications, assistive AI
Applications:
power conservation suggestions, interactive question answering
Limitations:
May produce inaccurate, biased, or objectionable responses., Risks with usage not entirely predictable.
Supported Languages 
en (English), id (Bahasa Indonesia)
Training Details 
Data Sources:
psmathur/orca_mini_v1_dataset (translated to Bahasa Indonesia)
Methodology:
Instruction fine-tuning using LoRA, DeepSpeed ZeRO-2, and FlashAttention
Context Length:
4096
Training Time:
6 hours
Hardware Used:
2 x 3090-24GB GPUs
Responsible Ai Considerations 
Mitigation Strategies:
Developers should perform safety testing and tuning tailored to their specific applications.
Input Output 
Input Format:
[Vicuna 1.1](https://github.com/oobabooga/text-generation-webui/blob/main/instruction-templates/Vicuna-v1.1.yaml) format
Accepted Modalities:
text
Output Format:
text responses
LLM NameMerak 7B V3 Mini Orca Indo
Repository 🤗https://huggingface.co/asyafiqe/Merak-7B-v3-Mini-Orca-Indo 
Model Size7b
Required VRAM13.6 GB
Updated2026-03-26
Maintainerasyafiqe
Model Typellama
Model Files  4.0 GB: 1-of-4   4.0 GB: 2-of-4   4.0 GB: 3-of-4   1.6 GB: 4-of-4
Supported Languagesen id
Model ArchitectureLlamaForCausalLM
Licensecc-by-nc-sa-4.0
Context Length4096
Model Max Length4096
Transformers Version4.32.0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typefloat16

Quantized Models of the Merak 7B V3 Mini Orca Indo

Model
Likes
Downloads
VRAM
...ak 7B V3 Mini Orca Indo Gptq 20123 GB
...erak 7B V3 Mini Orca Indo GPTQ143 GB

Best Alternatives to Merak 7B V3 Mini Orca Indo

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A6 L1024K / 16.1 GB2010
A3.41024K / 16.1 GB130
A2.41024K / 16.1 GB120
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2 Very Sci Fi1024K / 16.1 GB3170
Note: green Score (e.g. "73.2") means that the model is better than asyafiqe/Merak-7B-v3-Mini-Orca-Indo.

Rank the Merak 7B V3 Mini Orca Indo 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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