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Merak 7B V3 Mini Orca Indo Gptq 2 by asyafiqe

 »  All LLMs  »  asyafiqe  »  Merak 7B V3 Mini Orca Indo Gptq 2   URL Share it on

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  Autotrain compatible   Endpoints compatible   Gptq   Llama   Pytorch   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/asyafiqe/Merak-7B-v3-Mini-Orca-Indo-gptq-2 

Merak 7B V3 Mini Orca Indo Gptq 2 Benchmarks

LLME Score: 0.11205
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 Gptq 2 (asyafiqe/Merak-7B-v3-Mini-Orca-Indo-gptq-2)
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Merak 7B V3 Mini Orca Indo Gptq 2 Parameters and Internals

LLM NameMerak 7B V3 Mini Orca Indo Gptq 2
Repository 🤗https://huggingface.co/asyafiqe/Merak-7B-v3-Mini-Orca-Indo-gptq-2 
Base Model(s)  Merak 7B V3 Mini Orca Indo   asyafiqe/Merak-7B-v3-Mini-Orca-Indo
Model Size7b
Required VRAM3.9 GB
Updated2025-08-18
Maintainerasyafiqe
Model Typellama
Model Files  3.9 GB
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureLlamaForCausalLM
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

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Note: green Score (e.g. "73.2") means that the model is better than asyafiqe/Merak-7B-v3-Mini-Orca-Indo-gptq-2.

Rank the Merak 7B V3 Mini Orca Indo Gptq 2 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  
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Multi-Language Support and Translation  

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Release v20241124
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