AVA Qwen1.5 7B Chat Gptq 4bit by MehdiHosseiniMoghadam

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AVA Qwen1.5 7B Chat Gptq 4bit Benchmarks

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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AVA Qwen1.5 7B Chat Gptq 4bit Parameters and Internals

LLM NameAVA Qwen1.5 7B Chat Gptq 4bit
Repository ๐Ÿค—https://huggingface.co/MehdiHosseiniMoghadam/AVA-Qwen1.5-7B-Chat-gptq-4bit 
Model Size7b
Required VRAM5.8 GB
Updated2025-06-09
MaintainerMehdiHosseiniMoghadam
Model Typeqwen2
Model Files  4.6 GB: 1-of-2   1.2 GB: 2-of-2
GPTQ QuantizationYes
Quantization Typegptq|4bit
Model ArchitectureQwen2ForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.40.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|im_end|>
Vocabulary Size151646
Torch Data Typefloat16
Errorsreplace
AVA Qwen1.5 7B Chat Gptq 4bit (MehdiHosseiniMoghadam/AVA-Qwen1.5-7B-Chat-gptq-4bit)

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Note: green Score (e.g. "73.2") means that the model is better than MehdiHosseiniMoghadam/AVA-Qwen1.5-7B-Chat-gptq-4bit.

Rank the AVA Qwen1.5 7B Chat 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124