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Nart 100K 7B GPTQ by AbdelSiam

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Nart 100K 7B GPTQ is an open-source language model by AbdelSiam. Features: 7b LLM, VRAM: 3.9GB, Context: 2K, License: cc-by-nc-nd-4.0, Quantized, LLM Explorer Score: 0.08.

  4bit   Endpoints compatible   Gptq   Llama   Pytorch   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/AbdelSiam/nart-100k-7b-GPTQ 

Nart 100K 7B GPTQ Benchmarks

LLME Score: 0.08426
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Nart 100K 7B GPTQ (AbdelSiam/nart-100k-7b-GPTQ)
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Nart 100K 7B GPTQ Parameters and Internals

LLM NameNart 100K 7B GPTQ
Repository 🤗https://huggingface.co/AbdelSiam/nart-100k-7b-GPTQ 
Model Size7b
Required VRAM3.9 GB
Updated2026-03-13
MaintainerAbdelSiam
Model Typellama
Model Files  3.9 GB   0.0 GB
GPTQ QuantizationYes
Quantization Typegptq|4bit
Model ArchitectureLlamaForCausalLM
Licensecc-by-nc-nd-4.0
Context Length2048
Model Max Length2048
Transformers Version4.28.1
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 AbdelSiam/nart-100k-7b-GPTQ.

Rank the Nart 100K 7B 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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