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EPFL TA Meister GPTQ 4bit by PeterAM4

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  19   
  Arxiv:1910.09700   4-bit   4bit   Autotrain compatible   Endpoints compatible   Gptq   Llama   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/PeterAM4/EPFL-TA-Meister-GPTQ-4bit 

EPFL TA Meister GPTQ 4bit Benchmarks

LLME Score: 0.17529
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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EPFL TA Meister GPTQ 4bit Parameters and Internals

LLM NameEPFL TA Meister GPTQ 4bit
Repository 🤗https://huggingface.co/PeterAM4/EPFL-TA-Meister-GPTQ-4bit 
Model Size2b
Required VRAM5.8 GB
Updated2025-06-11
MaintainerPeterAM4
Model Typellama
Model Files  4.7 GB: 1-of-2   1.1 GB: 2-of-2
GPTQ QuantizationYes
Quantization Typegptq|4bit
Model ArchitectureLlamaForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.41.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|end_of_text|>
Vocabulary Size128256
Torch Data Typefloat16
EPFL TA Meister GPTQ 4bit (PeterAM4/EPFL-TA-Meister-GPTQ-4bit)

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Note: green Score (e.g. "73.2") means that the model is better than PeterAM4/EPFL-TA-Meister-GPTQ-4bit.

Rank the EPFL TA Meister GPTQ 4bit 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  
Code Generation  
Multi-Language Support and Translation  

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Release v20241124
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