Lmsys Vicuna 7B V1.5 4 Bit Gptq by SotiriosKastanas

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Lmsys Vicuna 7B V1.5 4 Bit Gptq is an open-source language model by SotiriosKastanas. Features: 7b LLM, VRAM: 3.9GB, Context: 4K, Quantized, LLM Explorer Score: 0.15.

  Arxiv:1910.09700   4-bit   Autotrain compatible   Endpoints compatible   Gptq   Llama   Quantized   Region:us   Safetensors

Lmsys Vicuna 7B V1.5 4 Bit Gptq Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Lmsys Vicuna 7B V1.5 4 Bit Gptq (SotiriosKastanas/lmsys-vicuna-7b-v1.5-4-bit-gptq)
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Lmsys Vicuna 7B V1.5 4 Bit Gptq Parameters and Internals

LLM NameLmsys Vicuna 7B V1.5 4 Bit Gptq
Repository ๐Ÿค—https://huggingface.co/SotiriosKastanas/lmsys-vicuna-7b-v1.5-4-bit-gptq 
Base Model(s)  SotiriosKastanas/lmsys-vicuna-7b-v1.5-8-bit-bnb   SotiriosKastanas/lmsys-vicuna-7b-v1.5-8-bit-bnb
Model Size7b
Required VRAM3.9 GB
Updated2025-09-23
MaintainerSotiriosKastanas
Model Typellama
Model Files  3.9 GB
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureLlamaForCausalLM
Context Length4096
Model Max Length4096
Transformers Version4.41.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typefloat16

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Rank the Lmsys Vicuna 7B V1.5 4 Bit Gptq 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 v20260327b