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Merak 7B V4 GPTQ by daptheHuman

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Merak 7B V4 GPTQ is an open-source language model by daptheHuman. Features: 7b LLM, VRAM: 4.2GB, Context: 32K, License: llama2, Quantized, LLM Explorer Score: 0.11.

  4bit   Autotrain compatible Base model:finetune:ichsan2895... Base model:ichsan2895/merak-7b...   Conversational   Dataset:allenai/c4   Gptq   Id   Indonesia   Mistral   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/daptheHuman/Merak-7B-v4-GPTQ 

Merak 7B V4 GPTQ Benchmarks

LLME Score: 0.1083
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Merak 7B V4 GPTQ (daptheHuman/Merak-7B-v4-GPTQ)
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Merak 7B V4 GPTQ Parameters and Internals

Model Type 
gptq
Supported Languages 
id (indonesia)
LLM NameMerak 7B V4 GPTQ
Repository 🤗https://huggingface.co/daptheHuman/Merak-7B-v4-GPTQ 
Base Model(s)  Merak 7B V4   Ichsan2895/Merak-7B-v4
Model Size7b
Required VRAM4.2 GB
Updated2025-10-04
MaintainerdaptheHuman
Model Typemistral
Model Files  4.2 GB
Supported Languagesid
GPTQ QuantizationYes
Quantization Typegptq|4bit
Model ArchitectureMistralForCausalLM
Licensellama2
Context Length32768
Model Max Length32768
Transformers Version4.35.0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32002
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than daptheHuman/Merak-7B-v4-GPTQ.

Rank the Merak 7B V4 GPTQ 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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